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Dr. Julfikar Haider
Manchester Metropolitan University, UK

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Research Keywords & Expertise

0 Coatings
0 Lean Manufacturing
0 Machining
0 Surface Engineering
0 Sustainability

Fingerprints

Coatings
Machining
plasma nitriding
Surface Engineering
Welding
Sustainability
Polymer Composite

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Short Biography

Dr Julfikar Haider is currently working as a Senior Lecturer in Mechanical Engineering at the Department of Engineering, Manchester Metropolitan University, UK. He received his bachelor degree in Mechanical Engineering from Bangladesh University of Engineering and Technology in 1999. In 2005, he was awarded PhD from the school of Mechanical and Manufacturing Engineering, Dublin City University, Ireland in the area of surface engineering. During PhD and subsequent post-doctoral programme, he has gained knowledge on advanced thin film coating deposition, coating characterisation, coating’s performance evaluation, plasma nitriding, finite element modelling etc. Between 2006 to 2012, Dr Haider worked as a Research Engineer at the School of Computing, Engineering & Information Sciences, Northumbria University, UK. There he was involved in a collaborative project with SNA Europe [UK] on improving manufacturing precision of bandsaws. Dr Haider’s main research interests are in composite materials, surface engineering, metal cutting machining, advance welding, manufacturing systems for Industry 4.0 (e.g., lean manufacturing, Six sigma, mass customisation) and finite element modelling. He has been awarded more than One million pound by Innovate UK to conduct Eight Knowledge Transfer Partnership projects with industry. He has published and presented over 80 technical papers in international journals and conferences and books in the above areas.

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Journal article
Published: 27 August 2021 in Computers & Electrical Engineering
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This paper introduces an intelligent computational approach to automatically authenticate fingerprint for personal identification and verification. The feature vector is formed using combined features obtained from Gabor filtering technique and deep learning technique such as Convolutional Neural Network (CNN). Principle Component Analysis (PCA) has been performed on the feature vectors to reduce the overfitting problems in order to make the classification results more accurate and reliable. A multiclass classifier has been trained using the extracted features. Experiments performed using standard public databases demonstrated that the proposed approach showed better performance with regard to accuracy (99.87%) compared to the more recent classification techniques such as Support Vector Machine (97.86%) or Random Forest (95.47%). However, the proposed method also showed higher accuracy compared to other validation approaches such as K-fold (98.89%) and generalization (97.75%). Furthermore, these results were supported by confusion matrix results where only 10 failures were found when tested with 5000 images.

ACS Style

Nur- A- Alam; M. Ahsan; M.A. Based; J. Haider; M. Kowalski. An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning. Computers & Electrical Engineering 2021, 95, 107387 .

AMA Style

Nur- A- Alam, M. Ahsan, M.A. Based, J. Haider, M. Kowalski. An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning. Computers & Electrical Engineering. 2021; 95 ():107387.

Chicago/Turabian Style

Nur- A- Alam; M. Ahsan; M.A. Based; J. Haider; M. Kowalski. 2021. "An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning." Computers & Electrical Engineering 95, no. : 107387.

Research article
Published: 20 August 2021 in International Journal of Dentistry
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During restorative treatment, premolars restored with resin filling materials using the conventional incremental-fill technique take longer restoration time and undermine the integrity of the tooth. The aim of this study was to assess fracture resistance of premolars restored by various types of novel bulk-fill composite resin materials. Forty-eight (n = 48) freshly extracted sound maxillary first premolars were used in this in vitro study. The teeth were divided into six groups, each having 8 specimens. Group A (positive control) was allocated for the intact teeth. For specimens in Groups B to F, a large cavity (Class-II MOD) was prepared with a standardized dimension of cavity (3 mm depth on the pulpal floor, 4 mm at the gingival seat, and 3 mm cavity width). Group B represented prepared teeth without any restoration. Group C, Group D, Group E, and Group F were restored with Tetric EvoCeram® incremental-fill (conventional), Beautifil bulk-fill, Filtek posterior bulk-fill, and SonicFill 2 bulk-fill restorative materials, respectively. All samples were finished and polished with an enhanced finishing kit and stored in distilled water for a month before the fracture resistance testing. All the samples were exposed to the axial loading (the speed of crosshead was 1 mm/min) in a computer-controlled universal testing machine (LARYEE, China) via a steel bar (6 mm in diameter) and the maximum applied force in Newton was recorded as the fracture resistance. One-way analysis of variance (SPSS 21) was used to compare the fracture resistance within the groups, and Tukey’s post hoc test was used to determine the difference between the groups. The lowest value of fracture resistance was recorded for Group B, and the highest value was recorded for Group A followed by the values of Group D, Group C, Group F, and Group E. One-way ANOVA revealed a statistically significant difference between the groups ( P < 0.05 ). Nonsignificant difference was found between the premolars restored by bulk-fill and conventional composites. Among the bulk-fill restored specimens, Beautifil restorative demonstrated significantly higher fracture resistance in comparison with the other two bulk-fill restored specimen groups (SonicFill 2 and Filtek). Bulk-fill composite such as Beautifil could be an alternative option to conventional incremental-fill composite for premolar restoration.

ACS Style

Zahraa Abdulaali Al-Ibraheemi; Huda Abbas Abdullah; Nada Abdlameer Jawad; Julfikar Haider. Assessing Fracture Resistance of Restored Premolars with Novel Composite Materials: An In Vitro Study. International Journal of Dentistry 2021, 2021, 1 -10.

AMA Style

Zahraa Abdulaali Al-Ibraheemi, Huda Abbas Abdullah, Nada Abdlameer Jawad, Julfikar Haider. Assessing Fracture Resistance of Restored Premolars with Novel Composite Materials: An In Vitro Study. International Journal of Dentistry. 2021; 2021 ():1-10.

Chicago/Turabian Style

Zahraa Abdulaali Al-Ibraheemi; Huda Abbas Abdullah; Nada Abdlameer Jawad; Julfikar Haider. 2021. "Assessing Fracture Resistance of Restored Premolars with Novel Composite Materials: An In Vitro Study." International Journal of Dentistry 2021, no. : 1-10.

Journal article
Published: 01 August 2021 in Polymers
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Natural renewable materials can play a big role in reducing the consumption of synthetic materials for environmental sustainability. Natural fiber-reinforced composites have attracted significant research and commercial importance due to their versatile characteristics and multi-dimensional applications. As the natural materials are easily rotten, flammable, and moisture absorbent, they require additional chemical modification for use in sustainable product development. In the present research, jute fibers were treated with rot-, fire-, and water-retardant chemicals and their corresponding polymer composites were fabricated using a compression molding technique. To identify the effects of the chemical treatments on the jute fiber and their polymeric composites, a Fourier transformed infrared radiation (FTIR) study was conducted and the results were analyzed. The presence of various chemicals in the post-treated fibers and the associated composites were identified through the FTIR analysis. The varying weight percentage of the chemicals used for treating the fibers affected the physio-mechanical properties of the fiber as well as their composites. From the FTIR analysis, it was concluded that crystallinity increased with the chemical concentration of the treatment which could be contributed to the improvement in their mechanical performance. This study provides valuable information for both academia and industry on the effect of various chemical treatments of the jute fiber for improved product development.

ACS Style

Sweety Shahinur; Mahbub Hasan; Qumrul Ahsan; Nayer Sultana; Zakaria Ahmed; Julfikar Haider. Effect of Rot-, Fire-, and Water-Retardant Treatments on Jute Fiber and Their Associated Thermoplastic Composites: A Study by FTIR. Polymers 2021, 13, 2571 .

AMA Style

Sweety Shahinur, Mahbub Hasan, Qumrul Ahsan, Nayer Sultana, Zakaria Ahmed, Julfikar Haider. Effect of Rot-, Fire-, and Water-Retardant Treatments on Jute Fiber and Their Associated Thermoplastic Composites: A Study by FTIR. Polymers. 2021; 13 (15):2571.

Chicago/Turabian Style

Sweety Shahinur; Mahbub Hasan; Qumrul Ahsan; Nayer Sultana; Zakaria Ahmed; Julfikar Haider. 2021. "Effect of Rot-, Fire-, and Water-Retardant Treatments on Jute Fiber and Their Associated Thermoplastic Composites: A Study by FTIR." Polymers 13, no. 15: 2571.

Research article
Published: 24 July 2021 in International Journal of Dentistry
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This study aimed to evaluate potential impacts of calcium oxide nanoparticles (CaO-NPs) at different dosages on predentin thickness, number of blood vessels, periodontal ligament thickness, and blood glucose level of Wistar rats. Twelve rats were randomly gathered into four groups, untreated (control) and CaO-NP-treated groups at three concentrations (25, 50, and 100 mg/kg of the body weight) over a period of 60 days. Histological investigation was performed on twenty-four lower incisor teeth extracted from all the tested groups under a light microscope, and an automatic Fujifilm was used to measure the blood glucose level. The results showed that regular nanoparticle treatment significantly increased predentin and periodontal ligament thicknesses, a gradual decrease in vascularization in the pulp tissue, and an increase in the blood glucose level as the dosages of nanoparticles administered to the rats increased. Administration of the CaO-NPs at low dosage (25 mg/kg) could be beneficial for the growth and integrity of teeth and dentinal tissues in rats.

ACS Style

Bushra Habeeb Al-Maula; Zena Jehad Wally; Mohanad Jameel Najm Al-Magsoosi; Rasha Hatem Dosh; Ruba M. Mustafa; Suhad Jabbar Hamed Al-Nasrawi; Abdullatif Alfutimie; Julfikar Haider. Studying Effects of Calcium Oxide Nanoparticles on Dentinogenesis in Male Wistar Rats. International Journal of Dentistry 2021, 2021, 1 -9.

AMA Style

Bushra Habeeb Al-Maula, Zena Jehad Wally, Mohanad Jameel Najm Al-Magsoosi, Rasha Hatem Dosh, Ruba M. Mustafa, Suhad Jabbar Hamed Al-Nasrawi, Abdullatif Alfutimie, Julfikar Haider. Studying Effects of Calcium Oxide Nanoparticles on Dentinogenesis in Male Wistar Rats. International Journal of Dentistry. 2021; 2021 ():1-9.

Chicago/Turabian Style

Bushra Habeeb Al-Maula; Zena Jehad Wally; Mohanad Jameel Najm Al-Magsoosi; Rasha Hatem Dosh; Ruba M. Mustafa; Suhad Jabbar Hamed Al-Nasrawi; Abdullatif Alfutimie; Julfikar Haider. 2021. "Studying Effects of Calcium Oxide Nanoparticles on Dentinogenesis in Male Wistar Rats." International Journal of Dentistry 2021, no. : 1-9.

Journal article
Published: 24 July 2021 in Materials
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Statement of Problem: Polymethyl methacrylate (PMMA) denture resins commonly fracture as a result of the denture being dropped or when in use due to heavy occlusal forces. Purpose: To investigate the effects of E-glass fibre, ZrO2 and TiO2 nanoparticles at different concentrations on the fracture toughness and impact strength of PMMA denture base. Materials and Methods: To evaluate fracture toughness (dimensions: 40 × 8 × 4 mm3; n = 10/group) and impact strength (dimensions: 80 × 10 × 4 mm3; n = 12/group), 286 rectangular tested specimens were prepared and divided into four groups. Group C consisted of the PMMA specimens without any filler (control group), while the specimens in the remaining three groups varied according to the concentration of three filler materials by weight of PMMA resin: 1.5%, 3%, 5%, and 7%. Three-point bending and Charpy impact tests were conducted to measure the fracture toughness and impact strength respectively. Scanning Electron Microscope (SEM) was utilised to examine the fractured surfaces of the specimens after the fracture toughness test. One-way analysis of variance (ANOVA) followed by Tukey post-hoc tests were employed to analyse the results at a p ≤ 0.05 significance level. Results: Fracture toughness of groups with 1.5 and 3 wt.% ZrO2, 1.5 wt.% TiO2, and all E-glass fibre concentrations were significantly higher (p< 0.05) than the control group. The samples reinforced with 3 wt.% ZrO2 exhibited the highest fracture toughness. Those reinforced with a 3 wt.%, 5 wt.%, and 7 wt.% of E-glass fibres had a significantly (p< 0.05) higher impact strength than the specimens in the control group. The heat-cured PMMA modified with either ZrO2 or TiO2 nanoparticles did not exhibit a statistically significant difference in impact strength (p > 0.05) in comparison to the control group. Conclusions: 1.5 wt.%, 3 wt.% of ZrO2; 1.5 wt.% ratios of TiO2; and 1.5 wt.%, 3 wt.%, 5 wt.%, and 7 wt.% of E-glass fibre can effectively enhance the fracture toughness of PMMA. The inclusion of E-glass fibres does significantly improve impact strength, while ZrO2 or TiO2 nanoparticles did not.

ACS Style

Abdulaziz Alhotan; Julian Yates; Saleh Zidan; Julfikar Haider; Nikolaos Silikas. Assessing Fracture Toughness and Impact Strength of PMMA Reinforced with Nano-Particles and Fibre as Advanced Denture Base Materials. Materials 2021, 14, 4127 .

AMA Style

Abdulaziz Alhotan, Julian Yates, Saleh Zidan, Julfikar Haider, Nikolaos Silikas. Assessing Fracture Toughness and Impact Strength of PMMA Reinforced with Nano-Particles and Fibre as Advanced Denture Base Materials. Materials. 2021; 14 (15):4127.

Chicago/Turabian Style

Abdulaziz Alhotan; Julian Yates; Saleh Zidan; Julfikar Haider; Nikolaos Silikas. 2021. "Assessing Fracture Toughness and Impact Strength of PMMA Reinforced with Nano-Particles and Fibre as Advanced Denture Base Materials." Materials 14, no. 15: 4127.

Journal article
Published: 14 July 2021 in Electronics
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This paper proposes a three-port Zeta-KY dc-dc converter which is fed with hybrid sources like photovoltaic (PV) cells and batteries. The converter proposed here is a multi-input single-output (MISO) structure which harnesses the benefits of Zeta and KY converters. The combination of these converters is highly advantageous since the Zeta converter provides lesser output voltage ripples with high gain and the KY converter topology suits well for withstanding load transients. The KY converter used in this research work is subjected to a topological change to facilitate bidirectional power flow. The bidirectional flow is essential to save the excess power in PV source in batteries during low load conditions. This novel multiport topology with bidirectional facility is first of its kind and has not been discussed earlier in the research arena. In the proposed work, two control algorithms are developed and deployed: the first one ensures the maximum power extraction from the PV and the second one maintains constant dc bus voltage and manages bidirectional power flow. MATLAB Simulink and hardware prototype of the proposed system has been realized for a 72 V dc bus and a 500 W electric vehicular drive. The simulation and experimental results reveal that the proposed system is viable for medium power electric shuttle applications. The proposed system is subjected to various test cases and it is observed that the source and load intermittencies are catered very well by the proposed three port Zeta-KY converter. The developed multiport converter is feasible for renewable energy applications.

ACS Style

Ilambirai Chandran; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo Rodrigues. Implementation of Non-Isolated Zeta-KY Triple Port Converter for Renewable Energy Applications. Electronics 2021, 10, 1681 .

AMA Style

Ilambirai Chandran, Sridhar Ramasamy, Mominul Ahsan, Julfikar Haider, Eduardo Rodrigues. Implementation of Non-Isolated Zeta-KY Triple Port Converter for Renewable Energy Applications. Electronics. 2021; 10 (14):1681.

Chicago/Turabian Style

Ilambirai Chandran; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo Rodrigues. 2021. "Implementation of Non-Isolated Zeta-KY Triple Port Converter for Renewable Energy Applications." Electronics 10, no. 14: 1681.

Journal article
Published: 10 June 2021 in Materials
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Objectives: The objective of this study was to investigate the mechanical properties of high-impact (HI) heat-cured acrylic resin (PMMA) reinforced with silane-treated zirconia nanoparticles. Methods: Forty-five PMMA specimens reinforced with zirconia were fabricated and divided into three groups: Pure HI PMMA (control group), PMMA reinforced with 3 wt.% of non-silanised zirconia nanoparticles and PMMA reinforced with 3 wt.% of silanised zirconia nanoparticles. Silanised and non-silanised zirconia nanoparticles were analysed with Fourier Transform Infrared (FTIR) Spectroscopy. For measuring the flexural modulus and strength, a Zwick universal tester was used, and for surface hardness, a Vickers hardness tester were used. Furthermore, raw materials and fractured surfaces were analysed using Scanning Electron Microscopy (SEM). A one-way ANOVA test followed by a post-hoc Bonferroni test was employed to analyse the data. Results: The results showed that the mean values for flexural strength (83.5 ± 6.2 MPa) and surface hardness (20.1 ± 2.3 kg/mm2) of the group containing 3 wt.% treated zirconia increased significantly (p< 0.05) in comparison to the specimens in the group containing non-treated zirconia (59.9 ± 7.1 MPa; 15.0 ± 0.2 kg/mm2) and the control group (72.4 ± 8.6 MPa; 17.1 ± 0.9 kg/mm2). However, the group with silanised zirconia showed an increase in flexural modulus (2313 ± 161 MPa) but was not significantly different (p > 0.05) from the non-silanised group (2207 ± 252 MPa) and the control group (1971 ± 235 MPa). Conclusion: Silane-treated zirconia nano-filler improves the surface hardness and flexural strength of HI PMMA-zirconia nanocomposites, giving a potentially longer service life of the denture base.

ACS Style

Saleh Zidan; Nikolaos Silikas; Suhad Al-Nasrawi; Julfikar Haider; Abdulrahman Alshabib; Alshame Alshame; Julian Yates. Chemical Characterisation of Silanised Zirconia Nanoparticles and Their Effects on the Properties of PMMA-Zirconia Nanocomposites. Materials 2021, 14, 3212 .

AMA Style

Saleh Zidan, Nikolaos Silikas, Suhad Al-Nasrawi, Julfikar Haider, Abdulrahman Alshabib, Alshame Alshame, Julian Yates. Chemical Characterisation of Silanised Zirconia Nanoparticles and Their Effects on the Properties of PMMA-Zirconia Nanocomposites. Materials. 2021; 14 (12):3212.

Chicago/Turabian Style

Saleh Zidan; Nikolaos Silikas; Suhad Al-Nasrawi; Julfikar Haider; Abdulrahman Alshabib; Alshame Alshame; Julian Yates. 2021. "Chemical Characterisation of Silanised Zirconia Nanoparticles and Their Effects on the Properties of PMMA-Zirconia Nanocomposites." Materials 14, no. 12: 3212.

Journal article
Published: 07 June 2021 in IEEE Access
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Rapid increase in scholarly publications on the web has posed a new challenge to the researchers in finding highly relevant and important research articles associated with a particular area of interest. Even a highly relevant paper is sometimes missed especially for novice researchers due to lack of knowledge and experience in finding and accessing the most suitable articles. Scholarly recommender system is a very appropriate tool for this purpose that can enable researchers to locate relevant publications easily and quickly. However, the main downside of the existing approaches is that their effectiveness is dependent on priori user profiles and thus, they cannot recommend papers to the new users. Furthermore, the system uses both public and non-public metadata and therefore, the system is unable to find similarities between papers efficiently due to copyright restrictions. Considering the above challenges, in this research work, a novel hybrid approach is proposed that separately combines a Content Based Filtering (CBF) recommender module and a Collaborative Filtering (CF) recommender module. Unlike previous CBF and CF approaches, public contextual metadata and paper-citation relationship information are effectively incorporated into these two approaches separately to enhance the recommendation accuracy. In order to verify the effectiveness of the proposed approach, publicly available datasets were employed. Experimental results demonstrate that the proposed approach outperforms the baseline approaches in terms of standard metrics (precision, recall, F1-measure, mean average precision, and mean reciprocal rank), indicating that the proposed approach is more efficient in recommending scholarly publications.

ACS Style

Nazmus Sakib; Rodina Binti Ahmad; Mominul Ahsan; Abdul Based; Khalid Haruna; Julfikar Haider; Saravanakumar Gurusamy. A Hybrid Personalized Scientific Paper Recommendation Approach Integrating Public Contextual Metadata. IEEE Access 2021, 9, 83080 -83091.

AMA Style

Nazmus Sakib, Rodina Binti Ahmad, Mominul Ahsan, Abdul Based, Khalid Haruna, Julfikar Haider, Saravanakumar Gurusamy. A Hybrid Personalized Scientific Paper Recommendation Approach Integrating Public Contextual Metadata. IEEE Access. 2021; 9 ():83080-83091.

Chicago/Turabian Style

Nazmus Sakib; Rodina Binti Ahmad; Mominul Ahsan; Abdul Based; Khalid Haruna; Julfikar Haider; Saravanakumar Gurusamy. 2021. "A Hybrid Personalized Scientific Paper Recommendation Approach Integrating Public Contextual Metadata." IEEE Access 9, no. : 83080-83091.

Journal article
Published: 31 May 2021 in Symmetry
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Artificial biomaterials are being developed for use in denture base with symmetrical properties to restore the aesthetics and functionalities. The rough surface of denture base resin promotes the adhesion of microorganisms and plaque accumulation. This study aimed to explore the consequences of polishing times on the surface roughness of high-impact (HI) heat-polymerized PMMA denture base acrylic resin reinforced with zirconia nanoparticles (nanocomposite). Thirty specimens (25 ± 0.50 mm in diameter and 2 ± 0.10 mm thickness) were fabricated from HI PMMA by adding zirconia nanoparticles at different concentrations of (0 wt.%, 1.5 wt.%, 3 wt.%, 5 wt.%, 7 wt.%, and 10 wt.%). Specimens were divided into six groups (n = 5) and surface roughness (Ra) was measured before and after polishing with a standard protocol for one and two minutes. The addition of zirconia in PMMA at low concentrations (1.5 wt.%, 3 wt.%, and 5 wt.%) did not negatively affect the surface finish of the denture base composites following conventional polishing and remained below the clinically acceptable limit (0.2 µm). After one minute of polishing, only the 10 wt.% zirconia (0.17 ± 0.03 µm) demonstrated a substantial rise in median surface roughness, in comparison with the control group (0.11 ± 0.01 µm). It is concluded that the group containing 3 wt.% (0.10 ± 0.01 µm) of zirconia is the optimum concentration to obtain the best symmetrical surface finish after two minutes of polishing.

ACS Style

Saleh Zidan; Nikolaos Silikas; Julfikar Haider; Javad Jahantigh; Ahmed Alhareb; Julian Yates. Evaluating Polishability of Zirconia Impregnated PMMA Nanocomposite for Denture Base Application. Symmetry 2021, 13, 976 .

AMA Style

Saleh Zidan, Nikolaos Silikas, Julfikar Haider, Javad Jahantigh, Ahmed Alhareb, Julian Yates. Evaluating Polishability of Zirconia Impregnated PMMA Nanocomposite for Denture Base Application. Symmetry. 2021; 13 (6):976.

Chicago/Turabian Style

Saleh Zidan; Nikolaos Silikas; Julfikar Haider; Javad Jahantigh; Ahmed Alhareb; Julian Yates. 2021. "Evaluating Polishability of Zirconia Impregnated PMMA Nanocomposite for Denture Base Application." Symmetry 13, no. 6: 976.

Journal article
Published: 19 May 2021 in Materials
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The aim of this work was to evaluate the flexural strength and surface hardness of heat-cured Polymethyl methacrylate (PMMA) modified by the addition of ZrO2 nanoparticles, TiO2 nanoparticles, and E-glass fibre at different wt.% concentrations. Specimens were fabricated and separated into four groups (n = 10) to measure both flexural strength and surface hardness. Group C was the control group. The specimens in the remaining three groups differed according to the ratio of filler to weight of PMMA resin (1.5%, 3%, 5%, and 7%). A three-point bending test was performed to determine the flexural strength, while the surface hardness was measured using the Vickers hardness. Scanning Electron Microscope (SEM) was employed to observe the fractured surface of the specimens. The flexural strength was significantly improved in the groups filled with 3 wt.% ZrO2 and 5 and 7 wt.% E-glass fibre in comparison to Group C. All the groups displayed a significantly higher surface hardness than Group C, with the exception of the 1.5% TiO2 and 1.5% ZrO2 groups. The optimal filler concentrations to enhance the flexural strength of PMMA resin were between 3–5% ZrO2, 1.5% TiO2, and 3–7% E-glass fibre. Furthermore, for all composites, a filler concentration of 3 wt.% and above would significantly improve hardness.

ACS Style

Abdulaziz Alhotan; Julian Yates; Saleh Zidan; Julfikar Haider; Nikolaos Silikas. Flexural Strength and Hardness of Filler-Reinforced PMMA Targeted for Denture Base Application. Materials 2021, 14, 2659 .

AMA Style

Abdulaziz Alhotan, Julian Yates, Saleh Zidan, Julfikar Haider, Nikolaos Silikas. Flexural Strength and Hardness of Filler-Reinforced PMMA Targeted for Denture Base Application. Materials. 2021; 14 (10):2659.

Chicago/Turabian Style

Abdulaziz Alhotan; Julian Yates; Saleh Zidan; Julfikar Haider; Nikolaos Silikas. 2021. "Flexural Strength and Hardness of Filler-Reinforced PMMA Targeted for Denture Base Application." Materials 14, no. 10: 2659.

Journal article
Published: 08 April 2021 in Electronics
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The existing solutions for reducing total harmonic distortion (THD) using different control algorithms in shunt active power filters (SAPFs) are complex. This work proposes a split source inverter (SSI)-based SAPF for improving the power quality in a nonlinear load system. The advantage of the SSI topology is that it is of a single stage boost inverter with an inductor and capacitor where the conventional two stages with an intermediate DC-DC conversion stage is discarded. This research proposes inventive control schemes for SAPF having two control loops; the outer control loop regulates the DC link voltage whereas the inner current loop shapes the source current profile. The control mechanism implemented here is an effective, less complex, indirect scheme compared to the existing time domain control algorithms. Here, an intelligent fuzzy logic control regulates the DC link voltage which facilitates reference current generation for the current control scheme. The simulation of the said system was carried out in a MATLAB/Simulink environment. The simulations were carried out for different load conditions (RL and RC) using a fuzzy logic controller (FLC) and PI controllers in the outer loop (voltage control) and hysteresis current controller (HCC) and sinusoidal pulse width modulation (SPWM) in the inner loop (current control). The simulation results were extracted for dynamic load conditions and the results demonstrated that the THD can be reduced to 0.76% using a combination of SPWM and FLC. Therefore, the proposed system proved to be effective and viable for reducing THD. This system would be highly applicable for renewable energy power generation such as Photovoltaic (PV) and Fuel cell (FC).

ACS Style

Poornima Panati; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo Rodrigues. Indirect Effective Controlled Split Source Inverter-Based Parallel Active Power Filter for Enhancing Power Quality. Electronics 2021, 10, 892 .

AMA Style

Poornima Panati, Sridhar Ramasamy, Mominul Ahsan, Julfikar Haider, Eduardo Rodrigues. Indirect Effective Controlled Split Source Inverter-Based Parallel Active Power Filter for Enhancing Power Quality. Electronics. 2021; 10 (8):892.

Chicago/Turabian Style

Poornima Panati; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo Rodrigues. 2021. "Indirect Effective Controlled Split Source Inverter-Based Parallel Active Power Filter for Enhancing Power Quality." Electronics 10, no. 8: 892.

Journal article
Published: 09 March 2021 in Designs
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In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Things (IoT) systems. This paper presents a novel smart automation system using long range (LoRa) technology. The proposed LoRa based system consists of wireless communication system and different types of sensors, operated by a smart phone application and powered by a low-power battery, with an operating range of 3–12 km distance. The system established a connection between an android phone and a microprocessor (ESP32) through Wi-Fi at the sender end. The ESP32 module was connected to a LoRa module. At the receiver end, an ESP32 module and LoRa module without Wi-Fi was employed. Wide Area Network (WAN) communication protocol was used on the LoRa module to provide switching functionality of the targeted area. The performance of the system was evaluated by three real-life case studies through measuring environmental temperature and humidity, detecting fire, and controlling the switching functionality of appliances. Obtaining correct environmental data, fire detection with 90% accuracy, and switching functionality with 92.33% accuracy at a distance up to 12 km demonstrated the high performance of the system. The proposed smart system with modular design proved to be highly effective in controlling and monitoring home appliances from a longer distance with relatively lower power consumption.

ACS Style

Nur- A- Alam; Mominul Ahsan; Abdul Based; Julfikar Haider; Eduardo Rodrigues. Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System. Designs 2021, 5, 17 .

AMA Style

Nur- A- Alam, Mominul Ahsan, Abdul Based, Julfikar Haider, Eduardo Rodrigues. Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System. Designs. 2021; 5 (1):17.

Chicago/Turabian Style

Nur- A- Alam; Mominul Ahsan; Abdul Based; Julfikar Haider; Eduardo Rodrigues. 2021. "Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System." Designs 5, no. 1: 17.

Journal article
Published: 04 March 2021 in IEEE Access
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The detection of microorganisms like Pseudomonas are very important as they trigger an infection in human blood, lungs, and different parts of the body causing various ailments. In this paper, a surface plasmon resonance (SPR) biosensor based on photonic crystal fiber (PCF) has been proposed to detect the presence of Pseudomonas bacteria with attractive performance characteristics. The sensor is designed using a simple circular lattice of PCF, coated with a thin chemically stable gold layer. The performance investigation of the sensor is numerically carried out by using a finite element (FE) based simulation tool where the highest wavelength and amplitude sensitivity are found as 20,000 nm/RIU and 1380 RIU −1 , respectively. The sensor shows an excellent spectral resolution of the highest value of $5.26\times 10^{-6}$ RIU, ensuring the capability of identifying a very small change in analyte refractive index (RI) within the range of 1.33 to 1.42. The performance investigation is also carried out altering the diameter of air holes, pitch, and gold layer thickness to explore the variation in phase matching conditions due to the change in structural parameters. As the sensor is adept at detecting the sample with high sensitivity and sensing resolution, the proposed sensor can be highly efficient in detecting Pseudomonas bacteria as well as other organic compounds, and biological analytes.

ACS Style

N. Jahan; M. Rahman; Mominul Ahsan; Abdul Based; Masud Rana; Saravanakumar Gurusamy; Julfikar Haider. Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study. IEEE Access 2021, 9, 42206 -42215.

AMA Style

N. Jahan, M. Rahman, Mominul Ahsan, Abdul Based, Masud Rana, Saravanakumar Gurusamy, Julfikar Haider. Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study. IEEE Access. 2021; 9 ():42206-42215.

Chicago/Turabian Style

N. Jahan; M. Rahman; Mominul Ahsan; Abdul Based; Masud Rana; Saravanakumar Gurusamy; Julfikar Haider. 2021. "Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study." IEEE Access 9, no. : 42206-42215.

Journal article
Published: 20 February 2021 in Sensors
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Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier detection of the COVID-19 through accurate diagnosis, particularly for the cases with no obvious symptoms, may decrease the patient’s death rate. Chest X-ray images are primarily used for the diagnosis of this disease. This research has proposed a machine vision approach to detect COVID-19 from the chest X-ray images. The features extracted by the histogram-oriented gradient (HOG) and convolutional neural network (CNN) from X-ray images were fused to develop the classification model through training by CNN (VGGNet). Modified anisotropic diffusion filtering (MADF) technique was employed for better edge preservation and reduced noise from the images. A watershed segmentation algorithm was used in order to mark the significant fracture region in the input X-ray images. The testing stage considered generalized data for performance evaluation of the model. Cross-validation analysis revealed that a 5-fold strategy could successfully impair the overfitting problem. This proposed feature fusion using the deep learning technique assured a satisfactory performance in terms of identifying COVID-19 compared to the immediate, relevant works with a testing accuracy of 99.49%, specificity of 95.7% and sensitivity of 93.65%. When compared to other classification techniques, such as ANN, KNN, and SVM, the CNN technique used in this study showed better classification performance. K-fold cross-validation demonstrated that the proposed feature fusion technique (98.36%) provided higher accuracy than the individual feature extraction methods, such as HOG (87.34%) or CNN (93.64%).

ACS Style

Nur- A- Alam; Mominul Ahsan; Abdul Based; Julfikar Haider; Marcin Kowalski. COVID-19 Detection from Chest X-Ray Images Using Feature Fusion and Deep Learning. Sensors 2021, 21, 1480 .

AMA Style

Nur- A- Alam, Mominul Ahsan, Abdul Based, Julfikar Haider, Marcin Kowalski. COVID-19 Detection from Chest X-Ray Images Using Feature Fusion and Deep Learning. Sensors. 2021; 21 (4):1480.

Chicago/Turabian Style

Nur- A- Alam; Mominul Ahsan; Abdul Based; Julfikar Haider; Marcin Kowalski. 2021. "COVID-19 Detection from Chest X-Ray Images Using Feature Fusion and Deep Learning." Sensors 21, no. 4: 1480.

Journal article
Published: 20 January 2021 in Technologies
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Vehicles on the road are rising in extensive numbers, particularly in proportion to the industrial revolution and growing economy. The significant use of vehicles has increased the probability of traffic rules violation, causing unexpected accidents, and triggering traffic crimes. In order to overcome these problems, an intelligent traffic monitoring system is required. The intelligent system can play a vital role in traffic control through the number plate detection of the vehicles. In this research work, a system is developed for detecting and recognizing of vehicle number plates using a convolutional neural network (CNN), a deep learning technique. This system comprises of two parts: number plate detection and number plate recognition. In the detection part, a vehicle’s image is captured through a digital camera. Then the system segments the number plate region from the image frame. After extracting the number plate region, a super resolution method is applied to convert the low-resolution image into a high-resolution image. The super resolution technique is used with the convolutional layer of CNN to reconstruct the pixel quality of the input image. Each character of the number plate is segmented using a bounding box method. In the recognition part, features are extracted and classified using the CNN technique. The novelty of this research is the development of an intelligent system employing CNN to recognize number plates, which have less resolution, and are written in the Bengali language.

ACS Style

Nur-A-Alam Nur-A-Alam; Mominul Ahsan; Abdul Based; Julfikar Haider. Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks. Technologies 2021, 9, 9 .

AMA Style

Nur-A-Alam Nur-A-Alam, Mominul Ahsan, Abdul Based, Julfikar Haider. Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks. Technologies. 2021; 9 (1):9.

Chicago/Turabian Style

Nur-A-Alam Nur-A-Alam; Mominul Ahsan; Abdul Based; Julfikar Haider. 2021. "Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks." Technologies 9, no. 1: 9.

Research article
Published: 19 January 2021 in International Journal of Dentistry
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Peracetic acid (PAA) is widely used as a sterilizing/disinfecting agent, and, in endodontics, it has been introduced as a promising irrigant in root canal treatment. It has been used at different concentrations to achieve various functions. However, endodontic instruments in contact with PAA of a certain concentration may affect their fatigue resistance. Therefore, the aim of this study was to investigate the impact of PAA on the cyclic fatigue resistance of three commercial heat-treated nickel-titanium (NiTi) rotary files. Three types of heat-treated NiTi rotary files were selected: One Curve (OC), ProTaper Gold (PTG), and Wave One Gold (WOG). Each type was divided into three subgroups (n = 6 for each file type): (1) untreated instruments; (2) files immersed in 0.002% PAA; and (3) files immersed in 0.35% PAA. The performance of each file type was tested in a simulated canal. The number of cycles to fracture (NCF) was determined to assess cyclic fatigue resistance of the files. Independent sample t-test was applied to compare each treated file within a subgroup with its respective control group, and one-way ANOVA was used for comparison among the main groups. All types of tested files revealed a significant decline in the cyclic fatigue resistance after exposure to 0.002% PAA except the PTG ( P = 0.209 ). After exposure of the files to a higher concentration (0.35% PAA), a dramatic reduction was demonstrated by all the groups. Before and after exposure of the files to PAA, PTG displayed the highest cyclic fatigue resistance, followed by the WOG, while the OC showed the lowest resistance. Exposure of heated-treated NiTi files to PAA in a relatively high or low concentration adversely affects the cyclic fatigue resistance. The PTG files demonstrated the best performance among the tested types and can be disinfected with 0.002% PAA for clinical purpose.

ACS Style

Suhad Jabbar Hamed Al-Nasrawi; Zuha Ayad Jaber; Nibrass Talib Al-Quraine; Abtesam Imhemed Aljdaimi; Sattar Jabbar Abdul-Zahra Al-Hmedat; Saleh Zidan; Julfikar Haider. Impact of Peracetic Acid on the Dynamic Cyclic Fatigue of Heat-Treated Nickel-Titanium Rotary Endodontic Instrument. International Journal of Dentistry 2021, 2021, 1 -11.

AMA Style

Suhad Jabbar Hamed Al-Nasrawi, Zuha Ayad Jaber, Nibrass Talib Al-Quraine, Abtesam Imhemed Aljdaimi, Sattar Jabbar Abdul-Zahra Al-Hmedat, Saleh Zidan, Julfikar Haider. Impact of Peracetic Acid on the Dynamic Cyclic Fatigue of Heat-Treated Nickel-Titanium Rotary Endodontic Instrument. International Journal of Dentistry. 2021; 2021 ():1-11.

Chicago/Turabian Style

Suhad Jabbar Hamed Al-Nasrawi; Zuha Ayad Jaber; Nibrass Talib Al-Quraine; Abtesam Imhemed Aljdaimi; Sattar Jabbar Abdul-Zahra Al-Hmedat; Saleh Zidan; Julfikar Haider. 2021. "Impact of Peracetic Acid on the Dynamic Cyclic Fatigue of Heat-Treated Nickel-Titanium Rotary Endodontic Instrument." International Journal of Dentistry 2021, no. : 1-11.

Article
Published: 08 January 2021 in Journal of Materials Engineering and Performance
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Nanohardness and Effective Elastic Moduli were measured for pulsed-Gas Tungsten Arc Welded Ti-5Al-2.5Sn alloy using autogenous mode through nanoindentation and atomic force microscopy. Experiments were conducted using a Berkovich tip on nanoindentor with Berkovich tip and elliptical pile ups were measured using an Atomic Force Microscope. Nanohardness and effective elastic moduli were calculated in the base metal, heat affected zone and fusion zone of the weldments using different approaches namely Oliver–Pharr method, AFM analysis and work of indentation. A significant difference was observed in the nanomechanical response using these approaches which was attributed to the pile up morphology of the nano indents. The presence of residual stress in the weldments also significantly influenced the nanohardness profile across the weld joint. The present research suggested that the work of indentation is most suitable for assessment of nanomechanical properties of Ti-5Al-2.5Sn alloy weldments among the three techniques studied in this investigation.

ACS Style

Muhammad Hassaan; Massab Junaid; Tauheed Shahbaz; Muhammad Ilyas; Fahd Nawaz Khan; Julfikar Haider. Nanomechanical Response of Pulsed Tungsten Inert Gas Welded Titanium Alloy by Nanoindentation and Atomic Force Microscopy. Journal of Materials Engineering and Performance 2021, 30, 1490 -1503.

AMA Style

Muhammad Hassaan, Massab Junaid, Tauheed Shahbaz, Muhammad Ilyas, Fahd Nawaz Khan, Julfikar Haider. Nanomechanical Response of Pulsed Tungsten Inert Gas Welded Titanium Alloy by Nanoindentation and Atomic Force Microscopy. Journal of Materials Engineering and Performance. 2021; 30 (2):1490-1503.

Chicago/Turabian Style

Muhammad Hassaan; Massab Junaid; Tauheed Shahbaz; Muhammad Ilyas; Fahd Nawaz Khan; Julfikar Haider. 2021. "Nanomechanical Response of Pulsed Tungsten Inert Gas Welded Titanium Alloy by Nanoindentation and Atomic Force Microscopy." Journal of Materials Engineering and Performance 30, no. 2: 1490-1503.

Original research
Published: 01 December 2020 in International Journal of Nanomedicine
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Purpose: This study evaluated tensile bond strength (TBS) between anterior acrylic teeth and denture bases made of high-impact heat-cured acrylic resin (HI PMMA) impregnated with zirconia nanoparticles. Materials and Methods: A total of 30 specimens (each specimen containing a set of six upper anterior teeth) were fabricated from HI PMMA denture base acrylic resin reinforced with different weight concentrations of zirconia nanoparticles: 0% (control), 1.5%, 3%, 5%, 7% and 10%. TBS was tested according to a British standard (BS EN ISO 22112: 2017). A one-way analysis of variance (ANOVA) was employed with a Tukey post-hoc test. Results: TBS values between the anterior teeth (central and lateral incisors and canine) and HI-PMMA denture base groups containing 7 wt.% (261.5 ± 66.0 N, 172.5 ± 57.4 N and 271.9 ± 86.3 N) and 10 wt.% (332.1 ± 122.9 N, 165.4 ± 48.7 N and 301.6 ± 73.2 N) zirconia were significantly lower compared to the control group (645.4 ± 84.8 N, 306.1 ± 81.6 N and 496.7 ± 179.1 N) and the other nanocomposite groups. However, TBS values for HI PMMA with 1.5 wt.% (534.4 ± 115.3 N, 304.7 ± 86.4 N, 514.0 ± 143.2 N), 3 wt.% (685.7 ± 159.6 N, 281.1 ± 78.3 N, 462.6 ± 122.1 N) and 5 wt.% (514.5 ± 134.3 N, 229.8 ± 67.3 N, 387.2 ± 99.4 N) zirconia showed slightly lower values than that of the control group but these were not significant. Failure modes between the teeth and denture base nanocomposites were predominantly cohesive fractures, which were clinically acceptable according to the Standard. Conclusion: The addition of zirconia nanoparticles to HI PMMA denture base at high concentration (7 wt.% and 10 wt. %) significantly (p< 0.05) reduced the bonding strength for all types of anterior teeth compared to the control group.

ACS Style

Saleh Zidan; Nikolaos Silikas; Julfikar Haider; Abdulaziz Alhotan; Javad Jahantigh; Julian Yates. Assessing Tensile Bond Strength Between Denture Teeth and Nano-Zirconia Impregnated PMMA Denture Base. International Journal of Nanomedicine 2020, ume 15, 9611 -9625.

AMA Style

Saleh Zidan, Nikolaos Silikas, Julfikar Haider, Abdulaziz Alhotan, Javad Jahantigh, Julian Yates. Assessing Tensile Bond Strength Between Denture Teeth and Nano-Zirconia Impregnated PMMA Denture Base. International Journal of Nanomedicine. 2020; ume 15 ():9611-9625.

Chicago/Turabian Style

Saleh Zidan; Nikolaos Silikas; Julfikar Haider; Abdulaziz Alhotan; Javad Jahantigh; Julian Yates. 2020. "Assessing Tensile Bond Strength Between Denture Teeth and Nano-Zirconia Impregnated PMMA Denture Base." International Journal of Nanomedicine ume 15, no. : 9611-9625.

Journal article
Published: 26 November 2020 in Electronics
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This paper begins with a comprehensive review into the existing GaN device models. Secondly, it identifies the need for a more accurate GaN switching model. A simple practical process based on radio frequency techniques using vector network analyser is introduced in this paper as an original contribution. It was applied to extract the impedances of the GaN device to develop an efficient behavioural model. The switching behaviour of the model was validated using both simulation and real time double pulse test experiments at 500 V, 15 A conditions. The proposed model is much easier for power designers to handle, without the need for knowledge about the physics or geometry of the device. The proposed model for Transphorm GaN HEMT was found to be 95.2% more accurate when compared to the existing LT-spice manufacturer model. This work additionally highlights the need to adopt established RF techniques into power electronics to reduce the learning curve while dealing with these novel high-speed switching devices.

ACS Style

Nikita Hari; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo M. G. Rodrigues. An RF Approach to Modelling Gallium Nitride Power Devices Using Parasitic Extraction. Electronics 2020, 9, 2007 .

AMA Style

Nikita Hari, Sridhar Ramasamy, Mominul Ahsan, Julfikar Haider, Eduardo M. G. Rodrigues. An RF Approach to Modelling Gallium Nitride Power Devices Using Parasitic Extraction. Electronics. 2020; 9 (12):2007.

Chicago/Turabian Style

Nikita Hari; Sridhar Ramasamy; Mominul Ahsan; Julfikar Haider; Eduardo M. G. Rodrigues. 2020. "An RF Approach to Modelling Gallium Nitride Power Devices Using Parasitic Extraction." Electronics 9, no. 12: 2007.

Journal article
Published: 01 November 2020 in Informatics
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Intelligent fault diagnosis methods have replaced time consuming and unreliable human analysis, increasing anomaly detection efficiency. Deep learning models are clear cut techniques for this purpose. This paper’s fundamental purpose is to automatically detect leakage in tanks during production with more reliability than a manual inspection, a common practice in industries. This research proposes an inspection system to predict tank leakage using hydrophone sensor data and deep learning algorithms after production. In this paper, leak detection was investigated using an experimental setup consisting of a plastic tank immersed underwater. Three different techniques for this purpose were implemented and compared with each other, including fast Fourier transform (FFT), wavelet transforms, and time-domain features, all of which are followed with 1D convolution neural network (1D-CNN). Applying FFT and converting the signal to a 1D image followed by 1D-CNN showed better results than other methods. Experimental results demonstrate the effectiveness and the superiority of the proposed methodology for detecting real-time leakage inaccuracy.

ACS Style

Masoumeh Rahimi; Alireza Alghassi; Mominul Ahsan; Julfikar Haider. Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal. Informatics 2020, 7, 49 .

AMA Style

Masoumeh Rahimi, Alireza Alghassi, Mominul Ahsan, Julfikar Haider. Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal. Informatics. 2020; 7 (4):49.

Chicago/Turabian Style

Masoumeh Rahimi; Alireza Alghassi; Mominul Ahsan; Julfikar Haider. 2020. "Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal." Informatics 7, no. 4: 49.