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Dr. Shabana Urooj
Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

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Research Keywords & Expertise

0 Optimization
0 Electrical & Electronics Engineering
0 Sensors & Sensor Networks
0 Renewable and Sustainable Development
0 Biomedial research

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Short Biography

SHABANA UROOJ (Senior Member, IEEE) received the B.E. degree in Electrical Engineering and the M.Tech. degree in Electrical (Instrumentation and Control) from Aligarh Muslim University, Aligarh, U.P., India, in 1998 and 2003, respectively. She obtained her Ph. D. degree in Biomedical Instrumentation from Electrical Engineering Department, Jamia Millia Islamia (A Central University), Delhi, India. She has severed industry for three years and teaching organizations for more than eighteen years. She has guided seven doctorates and more than 65 M.Tech. dissertations. She has authored and co-authored more than 150 research articles, which are published in high quality international journals and reputed conference proceedings. She has successfully completed several editorial responsibilities for reputed journals and several quality books and proceedings. She has served as Associate Editor of reputed journal viz. IEEE Sensors Journal. She is serving as editorial board and various Special Issues of ISI-Q1 journals. She has received several Excellence in Teaching and Research Awards. Dr. Urooj is serving as an active volunteer of Institute of Electrical & Electronics Engineering in various capacities since more than 10 years.

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Project

Project Goal: Early Detection of Alzheimer’s Disease

Starting Date:01 December 2020

Current Stage: Executed Successfully

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Journal article
Published: 29 March 2021 in Sensors
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This paper presents a compact 1 × 4 antipodal Vivaldi antenna (AVA) array for 5G millimeter-wave applications. The designed antenna operates over 24.19 GHz–29.15 GHz and 30.28 GHz–40.47 GHz frequency ranges. The proposed antenna provides a high gain of 8 dBi to 13.2 dBi and the highest gain is obtained at 40.3 GHz. The proposed antenna operates on frequency range-2 (FR2) and covers n257, n258, n260, and n261 frequency bands of 5G communication. The corrugations and RT/Duroid 5880 substrate are used to reduce the antenna size to 24 mm × 28.8 mm × 0.254 mm, which makes the antenna highly compact. Furthermore, the corrugations play an important role in the front-to-back ratio improvement, which further enhances the gain of the antenna. The corporate feeding is optimized meticulously to obtain an enhanced bandwidth and narrow beamwidth. The radiation pattern does not vary over the desired operating frequency range. In addition, the experimental results of the fabricated antenna coincide with the simulated results. The presented antenna design shows a substantial improvement in size, gain, and bandwidth when compared to what has been reported for an AVA with nearly the same size, which makes the proposed antenna one of the best candidates for application in devices that operate in the millimeter frequency range.

ACS Style

Amruta Dixit; Sumit Kumar; Shabana Urooj; Areej Malibari. A Highly Compact Antipodal Vivaldi Antenna Array for 5G Millimeter Wave Applications. Sensors 2021, 21, 2360 .

AMA Style

Amruta Dixit, Sumit Kumar, Shabana Urooj, Areej Malibari. A Highly Compact Antipodal Vivaldi Antenna Array for 5G Millimeter Wave Applications. Sensors. 2021; 21 (7):2360.

Chicago/Turabian Style

Amruta Dixit; Sumit Kumar; Shabana Urooj; Areej Malibari. 2021. "A Highly Compact Antipodal Vivaldi Antenna Array for 5G Millimeter Wave Applications." Sensors 21, no. 7: 2360.

Journal article
Published: 07 March 2021 in Energies
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Magnetic Levitation is a process in which an object is suspended with the support of the magnetic field. Despite being an unstable system, Magnetic Levitation Systems (MAGLEV) have profound applications in various fields of engineering. MAGLEV systems are sensitive, unstable, and nonlinear and uncertainties always pose a challenge in Controller Design. As a solution, adaptive controllers came into existence with adaptation mechanisms to cover the system uncertainties. In this study, a simple, novel, and an effective approach to the Enhanced Adaptive Control scheme is proposed for the ball position control and tracking of an unstable Magnetic Levitation System. The proposed Enhanced Model Reference Adaptive Scheme (EMRAC) follows the same phenomenon of the Model Reference Adaptive Scheme (MRAC) with a slight difference in its control strategy. The proposed scheme consists of Proportional-Integral-Velocity plus Feed Forward as the control structure and a modified version of the standard tuning rule is used as the adaptation mechanism. The control scheme is applied to a standard benchmark Magnetic Levitation System and the tracking performance of the scheme is tested by applying square and multi-sine pattern trajectories to the Magnetic Levitation System. The performance of the developed Enhanced MRAC performance is compared with that of the Proportional Integral Velocity with Feedforward Control (PIV+FF) scheme and the proposed control scheme is proven to be more suitable. The performance of the proposed scheme is also analyzed with Power Spectral Density and Root Mean Square Error to evaluate the ball position tracking control. It is inferred from the experimental results that Enhanced MRAC accommodates the changes and makes the system more reliable with good tracking ability.

ACS Style

Rahul Gopi; Soundarya Srinivasan; Kavitha Panneerselvam; Yuvaraja Teekaraman; Ramya Kuppusamy; Shabana Urooj. Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System. Energies 2021, 14, 1455 .

AMA Style

Rahul Gopi, Soundarya Srinivasan, Kavitha Panneerselvam, Yuvaraja Teekaraman, Ramya Kuppusamy, Shabana Urooj. Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System. Energies. 2021; 14 (5):1455.

Chicago/Turabian Style

Rahul Gopi; Soundarya Srinivasan; Kavitha Panneerselvam; Yuvaraja Teekaraman; Ramya Kuppusamy; Shabana Urooj. 2021. "Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System." Energies 14, no. 5: 1455.

Journal article
Published: 18 February 2021 in Energies
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The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.

ACS Style

Shabana Urooj; Fadwa Alrowais; Yuvaraja Teekaraman; Hariprasath Manoharan; Ramya Kuppusamy. IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities. Energies 2021, 14, 1072 .

AMA Style

Shabana Urooj, Fadwa Alrowais, Yuvaraja Teekaraman, Hariprasath Manoharan, Ramya Kuppusamy. IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities. Energies. 2021; 14 (4):1072.

Chicago/Turabian Style

Shabana Urooj; Fadwa Alrowais; Yuvaraja Teekaraman; Hariprasath Manoharan; Ramya Kuppusamy. 2021. "IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities." Energies 14, no. 4: 1072.

Journal article
Published: 09 February 2021 in Applied Sciences
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Effective and accurate diagnosis of Alzheimer’s disease (AD), as well as early-stage detection, has gained more and more attention in recent years. For AD classification, we propose a new hybrid method for early detection of Alzheimer’s disease (AD) using Polar Harmonic Transforms (PHT) and Self-adaptive Differential Evolution Wavelet Neural Network (SaDE-WNN). The orthogonal moments are used for feature extraction from the grey matter tissues of structural Magnetic Resonance Imaging (MRI) data. Irrelevant features are removed by the feature selection process through evaluating the in-class and among-class variance. In recent years, WNNs have gained attention in classification tasks; however, they suffer from the problem of initial parameter tuning, parameter setting. We proposed a WNN with the self-adaptation technique for controlling the Differential Evolution (DE) parameters, i.e., the mutation scale factor (F) and the cross-over rate (CR). Experimental results on the Alzheimer’s disease Neuroimaging Initiative (ADNI) database indicate that the proposed method yields the best overall classification results between AD and mild cognitive impairment (MCI) (93.7% accuracy, 86.0% sensitivity, 98.0% specificity, and 0.97 area under the curve (AUC)), MCI and healthy control (HC) (92.9% accuracy, 95.2% sensitivity, 88.9% specificity, and 0.98 AUC), and AD and HC (94.4% accuracy, 88.7% sensitivity, 98.9% specificity and 0.99 AUC).

ACS Style

Shabana Urooj; Satya Singh; Areej Malibari; Fadwa Alrowais; Shaeen Kalathil. Early Detection of Alzheimer’s Disease Using Polar Harmonic Transforms and Optimized Wavelet Neural Network. Applied Sciences 2021, 11, 1574 .

AMA Style

Shabana Urooj, Satya Singh, Areej Malibari, Fadwa Alrowais, Shaeen Kalathil. Early Detection of Alzheimer’s Disease Using Polar Harmonic Transforms and Optimized Wavelet Neural Network. Applied Sciences. 2021; 11 (4):1574.

Chicago/Turabian Style

Shabana Urooj; Satya Singh; Areej Malibari; Fadwa Alrowais; Shaeen Kalathil. 2021. "Early Detection of Alzheimer’s Disease Using Polar Harmonic Transforms and Optimized Wavelet Neural Network." Applied Sciences 11, no. 4: 1574.

Journal article
Published: 03 February 2021 in Energies
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In the present scenario the depletion of conventional sources causes an energy crisis. The energy crisis causes load demand with respect to electricity. The use of renewable energy sources plays a vital role in reducing the energy crisis and in reduction of CO2 emission. The use of solar energy is the major source of power in generation as this is the root cause for the development of wind, tides, etc. However, due to climatic condition the availability of PV sources varies from time to time. Hence it is essential to track the maximum source of energy by implementing different types of MPPT algorithms. However, use of MPPT algorithms has the limitation of using the same during partial shadow conditions. The issue of tracking power under partial shadow conditions can be resolved by implementing an intelligent optimization tracking algorithm which involves a computation process. Though many of nature’s inspired algorithms were present to address real world problems, Mirjalili developed the dragonfly algorithm to provide a better optimization solution to the issues faced in real-time applications. The proposed concept focuses on the implementation of the dragonfly optimization algorithm to track the maximum power from solar and involves the concept of machine learning, image processing, and data computation.

ACS Style

Shabana Urooj; Fadwa Alrowais; Ramya Kuppusamy; Yuvaraja Teekaraman; Hariprasath Manoharan. New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel. Energies 2021, 14, 790 .

AMA Style

Shabana Urooj, Fadwa Alrowais, Ramya Kuppusamy, Yuvaraja Teekaraman, Hariprasath Manoharan. New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel. Energies. 2021; 14 (4):790.

Chicago/Turabian Style

Shabana Urooj; Fadwa Alrowais; Ramya Kuppusamy; Yuvaraja Teekaraman; Hariprasath Manoharan. 2021. "New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel." Energies 14, no. 4: 790.

Journal article
Published: 17 December 2020 in IEEE Access
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In this article, a low-profile, compact, quad-port super-wideband (SWB) multiple-input–multiple-output (MIMO) antenna is presented for the internet of things (IoT) applications. The proposed antenna comprises four identical sickle-shaped resonating elements, which are excited by tapered coplanar waveguide (CPW) feed lines. The antenna elements are arranged in rotational symmetry (mutually orthogonal to each other) to achieve high port isolation. A complementary slot, which matches the sickle-shaped radiator, is etched from the ground of the proposed monopole antenna element to achieve massive bandwidth. The MIMO antenna possesses a resonating bandwidth ( $\vert S_{11}\vert \le -10$ dB) of 1.3–40 GHz and a bandwidth ratio of 31:1. In addition, an L-shaped slit and a complementary split-ring resonator (CSRR) are introduced in the sickle-shaped radiator to reject Bluetooth (2.4 GHz), WLAN (5.5 GHz), and downlink of X-band satellite communication (7.5 GHz) signals from the SWB. The proposed MIMO antenna is fabricated and experimental results are found in agreement with the simulated results.

ACS Style

Pawan Kumar; Shabana Urooj; Areej Malibari. Design and Implementation of Quad-Element Super-Wideband MIMO Antenna for IoT Applications. IEEE Access 2020, 8, 226697 -226704.

AMA Style

Pawan Kumar, Shabana Urooj, Areej Malibari. Design and Implementation of Quad-Element Super-Wideband MIMO Antenna for IoT Applications. IEEE Access. 2020; 8 ():226697-226704.

Chicago/Turabian Style

Pawan Kumar; Shabana Urooj; Areej Malibari. 2020. "Design and Implementation of Quad-Element Super-Wideband MIMO Antenna for IoT Applications." IEEE Access 8, no. : 226697-226704.

Journal article
Published: 01 September 2020 in European Journal of Electrical Engineering and Computer Science
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Due to indulge behavior of core materials and losses that leads to degradation of transformer efficiency. This research paper evaluating the optimal performance of transformer with designing of a newly core material namely as Mo.Me6. A possibility of increment in the efficiency for designed proposed model of transformer is observable. Also, a comparative analytical study based on the different designs of core type transformer with various core materials. The design and evaluation are performed on the Maxwell ANSYS electronic desktop platform, which provides an optimized design of transformer for practical applications. Whether it is a power transformer having lower frequency applications use in electronic circuits such as rectifying circuits or higher frequency applications power distribution circuit, etc. All transformer designs require performance evaluation in the working field and better efficiency to optimize the overall three-phase type core transformer. In this paper, proposed Mo.Me6 material with improved physical properties have been present of transformer efficiency and optimal design of core. The criteria include the changes in some effective parameters of the core, bringing out advancement in the working efficiency of the transformer. There is an opportunity to have a choice of desired material as designed particularly for the customer need making it will be more reliable and more suitable for various changeable conditions. For more efficient and effective working of transformer, this paper suggests core design with ANSYS techniques to achieve mentioned high efficiency with lower losses.

ACS Style

Shabana Urooj; Tanya Singh; Mohammad Amir; Mohd Tariq. Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique. European Journal of Electrical Engineering and Computer Science 2020, 4, 1 .

AMA Style

Shabana Urooj, Tanya Singh, Mohammad Amir, Mohd Tariq. Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique. European Journal of Electrical Engineering and Computer Science. 2020; 4 (5):1.

Chicago/Turabian Style

Shabana Urooj; Tanya Singh; Mohammad Amir; Mohd Tariq. 2020. "Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique." European Journal of Electrical Engineering and Computer Science 4, no. 5: 1.

Journal article
Published: 29 May 2020 in Sensors
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Wireless sensor networks (WSNs) are becoming very common in numerous manufacturing industries; especially where it is difficult to connect a sensor to a sink. This is an evolving issue for researchers attempting to contribute to the proliferation of WSNs. Monitoring a WSN depends on the type of collective data the sensor nodes have acquired. It is necessary to quantify the performance of these networks with the help of network reliability measures to ensure the stable operation of WSNs. Reliability plays a key role in the efficacy of any large-scale application of WSNs. The communication reliability in a wireless sensor network is an influential parameter for enhancing network performance for secure, desirable, and successful communication. The reliability of WSNs must incorporate the design variables, coverage, lifetime, and connectivity into consideration; however, connectivity is the most important factor, especially in a harsh environment on a large scale. The proposed algorithm is a one-step approach, which starts with the recognition of a specific spanning tree only. It utilizes all other disjoint spanning trees, which are generated directly in a simple manner and consume less computation time and memory. A binary decision illustration is presented for the enumeration of K-coverage communication reliability. In this paper, the issue of computing minimum spanning trees was addressed and it is a pertinent method for further evaluating reliability for WSNs. This paper inspects the reliability of WSNs and proposes a method for evaluating the flow-oriented reliability of WSNs. Further, a modified approach for the sum-of-disjoint products to determine the reliability of WSN from the enumerated minimal spanning trees is proposed. The proposed algorithm when implemented for different sizes of WSNs demonstrates its applicability to WSNs of various scales. The proposed methodology is less complex and more efficient in terms of reliability.

ACS Style

Sonam Lata; Shabana Mehfuz; Shabana Urooj; Asmaa Ali; Nidal Nasser. Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network. Sensors 2020, 20, 1 .

AMA Style

Sonam Lata, Shabana Mehfuz, Shabana Urooj, Asmaa Ali, Nidal Nasser. Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network. Sensors. 2020; 20 (11):1.

Chicago/Turabian Style

Sonam Lata; Shabana Mehfuz; Shabana Urooj; Asmaa Ali; Nidal Nasser. 2020. "Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network." Sensors 20, no. 11: 1.

Articles
Published: 16 April 2020 in Journal of Discrete Mathematical Sciences and Cryptography
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ACS Style

Bharat Singh; Shabana Urooj; Sudhakar Singh. Analysis of autopilot system, integrated with modelling and comparison of different controllers with the system. Journal of Discrete Mathematical Sciences and Cryptography 2020, 23, 1059 -1068.

AMA Style

Bharat Singh, Shabana Urooj, Sudhakar Singh. Analysis of autopilot system, integrated with modelling and comparison of different controllers with the system. Journal of Discrete Mathematical Sciences and Cryptography. 2020; 23 (5):1059-1068.

Chicago/Turabian Style

Bharat Singh; Shabana Urooj; Sudhakar Singh. 2020. "Analysis of autopilot system, integrated with modelling and comparison of different controllers with the system." Journal of Discrete Mathematical Sciences and Cryptography 23, no. 5: 1059-1068.

Journal article
Published: 03 April 2020 in IEEE Access
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To prolong the function of wireless sensor networks (WSNs), the lifetime of the system has to be increased. WSNs lifetime can be calculated by using a few generic parameters, such as the time until the death of the first node and other parameters according to the application. Literature indicates that choosing the most appropriate cluster head by clustering is one of the most successful ways to improve the lifespan of the WSN. The drawback of clustering protocols is based on the probabilistic model. Sometimes they select two cluster heads for two different clusters which are very close to each other and results in head situated at the edge of the cluster in some cases. This type of cluster head selection leads to a reduction in energy efficiency. Therefore, we have proposed the LEACH-Fuzzy Clustering (LEACH-FC) protocol and implemented a fuzzy logic-based cluster head selection and cluster formation to maximize the lifetime of the network. For selections of cluster head and formation of the cluster, we have used a centralized approach instead of distributed ones. We have also employed fuzzy logic in the selection of vice cluster head, which is also a centralized approach. The proposed algorithm has been found to be effective in balancing the energy load at each node thereby enhancing the reliability of WSN. It outperforms other proposed algorithms for improving network lifetime and energy consumption.

ACS Style

Sonam Lata; Shabana Mehfuz; Shabana Urooj; Fadwa Alrowais. Fuzzy Clustering Algorithm for Enhancing Reliability and Network Lifetime of Wireless Sensor Networks. IEEE Access 2020, 8, 66013 -66024.

AMA Style

Sonam Lata, Shabana Mehfuz, Shabana Urooj, Fadwa Alrowais. Fuzzy Clustering Algorithm for Enhancing Reliability and Network Lifetime of Wireless Sensor Networks. IEEE Access. 2020; 8 (99):66013-66024.

Chicago/Turabian Style

Sonam Lata; Shabana Mehfuz; Shabana Urooj; Fadwa Alrowais. 2020. "Fuzzy Clustering Algorithm for Enhancing Reliability and Network Lifetime of Wireless Sensor Networks." IEEE Access 8, no. 99: 66013-66024.

Journal article
Published: 02 March 2020 in Applied Sciences
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A planar, microstrip line-fed, quad-port, multiple-input-multiple-output (MIMO) antenna with dual-band rejection features is proposed for ultra-wideband (UWB) applications. The proposed MIMO antenna design consists of four identical octagonal-shaped radiating elements, which are placed orthogonally to each other. The dual-band rejection property (3.5 GHz and 5.5 GHz corresponding to Wi-MAX and WLAN bands) was obtained by introducing a hexagonal-shaped complementary split-ring resonator (HCSRR) in the radiators of the designed antenna. The MIMO antenna was etched on low-cost FR-4 dielectric substrate of size 58 × 58 × 0.8 mm3. Isolation higher than 18 dB and envelope correlation coefficient (ECC) lesser than 0.07 was observed for the MIMO/diversity antenna in the operating range of 3–16 GHz. The presented four-port UWB MIMO antenna configuration was fabricated, and the experimental results validate the simulation outcomes.

ACS Style

Pawan Kumar; Shabana Urooj; Fadwa Alrowais. Design and Implementation of Quad-Port MIMO Antenna with Dual-Band Elimination Characteristics for Ultra-Wideband Applications. Applied Sciences 2020, 10, 1715 .

AMA Style

Pawan Kumar, Shabana Urooj, Fadwa Alrowais. Design and Implementation of Quad-Port MIMO Antenna with Dual-Band Elimination Characteristics for Ultra-Wideband Applications. Applied Sciences. 2020; 10 (5):1715.

Chicago/Turabian Style

Pawan Kumar; Shabana Urooj; Fadwa Alrowais. 2020. "Design and Implementation of Quad-Port MIMO Antenna with Dual-Band Elimination Characteristics for Ultra-Wideband Applications." Applied Sciences 10, no. 5: 1715.

Journal article
Published: 20 February 2020 in Sensors
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This article presents a compact, planar, quad-port ultra-wideband (UWB) multiple-input–multiple-output (MIMO) antenna with wide axial ratio bandwidth (ARBW). The proposed MIMO design consists of four identical square-shaped antenna elements, where each element is made up of a circular slotted ground plane and feed by a 50 Ω microstrip line. The circular polarization is achieved using a protruding hexagonal stub from the ground plane. The four elements of the MIMO antenna are placed orthogonally to each other to obtain high inter-element isolation. FR-4 dielectric substrate of size 45 × 45 × 1.6 mm3 is used for the antenna prototype, and a good agreement is noticed among the simulated and experimental results. The proposed MIMO antenna shows 3-dB ARBW of 52% (3.8–6.5 GHz) and impedance bandwidth (S11 ≤ −10 dB) of 144% (2.2–13.5 GHz).

ACS Style

Pawan Kumar; Shabana Urooj; Areej Malibari. Design of Quad-Port Ultra-Wideband Multiple-Input-Multiple-Output Antenna with Wide Axial-Ratio Bandwidth. Sensors 2020, 20, 1174 .

AMA Style

Pawan Kumar, Shabana Urooj, Areej Malibari. Design of Quad-Port Ultra-Wideband Multiple-Input-Multiple-Output Antenna with Wide Axial-Ratio Bandwidth. Sensors. 2020; 20 (4):1174.

Chicago/Turabian Style

Pawan Kumar; Shabana Urooj; Areej Malibari. 2020. "Design of Quad-Port Ultra-Wideband Multiple-Input-Multiple-Output Antenna with Wide Axial-Ratio Bandwidth." Sensors 20, no. 4: 1174.

Journal article
Published: 22 January 2020 in Sensors
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A compact, low-profile, coplanar waveguide (CPW)-fed quad-port multiple-input–multiple-output (MIMO)/diversity antenna with triple band-notched (Wi-MAX, WLAN, and X-band) characteristics is proposed for super-wideband (SWB) applications. The proposed design contains four similar truncated–semi-elliptical–self-complementary (TSESC) radiating patches, which are excited through tapered CPW feed lines. A complementary slot matching the radiating patch is introduced in the ground plane of the truncated semi-elliptical antenna element to obtain SWB. The designed MIMO/diversity antenna displays a bandwidth ratio of 31:1 and impedance bandwidth (|S11| ≤ − 10 dB) of 1.3–40 GHz. In addition, a complementary split-ring resonator (CSRR) is implanted in the resonating patch to eliminate WLAN (5.5 GHz) and X-band (8.5 GHz) signals from SWB. Further, an L-shaped slit is used to remove Wi-MAX (3.5 GHz) band interferences. The MIMO antenna prototype is fabricated, and a good agreement is achieved between the simulated and experimental outcomes.

ACS Style

Pawan Kumar; Shabana Urooj; Fadwa Alrowais. Design of Quad-Port MIMO/Diversity Antenna with Triple-Band Elimination Characteristics for Super-Wideband Applications. Sensors 2020, 20, 624 .

AMA Style

Pawan Kumar, Shabana Urooj, Fadwa Alrowais. Design of Quad-Port MIMO/Diversity Antenna with Triple-Band Elimination Characteristics for Super-Wideband Applications. Sensors. 2020; 20 (3):624.

Chicago/Turabian Style

Pawan Kumar; Shabana Urooj; Fadwa Alrowais. 2020. "Design of Quad-Port MIMO/Diversity Antenna with Triple-Band Elimination Characteristics for Super-Wideband Applications." Sensors 20, no. 3: 624.

Chapter
Published: 03 November 2019 in Econometrics for Financial Applications
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Non-linear polynomial filtering (NPF) framework has been explored previously as a robust approach for contrast improvement of mammographic images. However, NPF ‘Prototypes: α and β′ have been performance limited; as the contrast improvement has been accompanied with a severe background suppression in mammograms. This affected the visualization of other anatomical structures and diagnostic features in the vicinity of the ROI; these features equally contribute towards diagnostic decision making by radiologists. On the other hand, it is equally difficult to improve the edge strength and sharpness of the ROI without compromising the background content.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. Non-Linear Polynomial Filters for Edge Enhancement of Mammograms. Econometrics for Financial Applications 2019, 163 -197.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. Non-Linear Polynomial Filters for Edge Enhancement of Mammograms. Econometrics for Financial Applications. 2019; ():163-197.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "Non-Linear Polynomial Filters for Edge Enhancement of Mammograms." Econometrics for Financial Applications , no. : 163-197.

Chapter
Published: 03 November 2019 in Econometrics for Financial Applications
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Breast cancer may be predicted via variety of appearances on mammograms: from the obvious benign or malignant masses, to density variations, subtle asymmetries, to rarely visible and obscured calcifications.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. State-of-the-Art Techniques for Mammogram Enhancement: A Comprehensive Discussion of Emerging Research Gaps and Remedial Solution. Econometrics for Financial Applications 2019, 63 -75.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. State-of-the-Art Techniques for Mammogram Enhancement: A Comprehensive Discussion of Emerging Research Gaps and Remedial Solution. Econometrics for Financial Applications. 2019; ():63-75.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "State-of-the-Art Techniques for Mammogram Enhancement: A Comprehensive Discussion of Emerging Research Gaps and Remedial Solution." Econometrics for Financial Applications , no. : 63-75.

Chapter
Published: 03 November 2019 in Econometrics for Financial Applications
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Region-based enhancement algorithms operate adaptively based on the availability of features and enhances them with respect to their background (irrespective of its shape or size). Region-based approach defines an adaptive region for processing (about a pixel); whose size is dependent upon the availability of features within that region (Pratt et al. in Image enhancement. PIKS Scientific Inside, pp. 247–305, 2001). In such a case, contrast manipulation algorithms can be then applied on a region rather than pixel basis.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. Region-Based and Feature Based Mammogram Enhancement Techniques. Econometrics for Financial Applications 2019, 47 -54.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. Region-Based and Feature Based Mammogram Enhancement Techniques. Econometrics for Financial Applications. 2019; ():47-54.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "Region-Based and Feature Based Mammogram Enhancement Techniques." Econometrics for Financial Applications , no. : 47-54.

Chapter
Published: 03 November 2019 in Econometrics for Financial Applications
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It has been discussed that successful treatment of breast cancer is only possible if there could be early detection of breast lesions.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. Recapitulation: Main Contributions, Impact and Future Scope. Econometrics for Financial Applications 2019, 233 -239.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. Recapitulation: Main Contributions, Impact and Future Scope. Econometrics for Financial Applications. 2019; ():233-239.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "Recapitulation: Main Contributions, Impact and Future Scope." Econometrics for Financial Applications , no. : 233-239.

Chapter
Published: 03 November 2019 in Econometrics for Financial Applications
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It is known that NPF framework consists of a scheme of linear and quadratic filtering counterparts operational as a combo of low- and high-pass filters.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. Human Visual System Based Unsharp Masking for Enhancement of Mammograms. Econometrics for Financial Applications 2019, 199 -222.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. Human Visual System Based Unsharp Masking for Enhancement of Mammograms. Econometrics for Financial Applications. 2019; ():199-222.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "Human Visual System Based Unsharp Masking for Enhancement of Mammograms." Econometrics for Financial Applications , no. : 199-222.

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Published: 03 November 2019 in Econometrics for Financial Applications
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Consultant radiologists are generally the prime experts for mammogram reading and interpretation.

ACS Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. Computer-aided Analysis of Mammograms. Econometrics for Financial Applications 2019, 21 -27.

AMA Style

Vikrant Bhateja, Mukul Misra, Shabana Urooj. Computer-aided Analysis of Mammograms. Econometrics for Financial Applications. 2019; ():21-27.

Chicago/Turabian Style

Vikrant Bhateja; Mukul Misra; Shabana Urooj. 2019. "Computer-aided Analysis of Mammograms." Econometrics for Financial Applications , no. : 21-27.