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Wadee Alhalabi
Department of Computer Sciences, Dar Alhekma University, Jeddah 22246, Saudi Arabia

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Journal article
Published: 06 July 2021 in Sustainability
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The evolution in knowledge management and crowdsourcing research provides new data-processing capabilities. The availability of both structured and unstructured open data formats offers unforeseen opportunities for analytics processing and advanced decision-making. However, social sciences research is facing advanced, complicated social challenges and problems. The focus of this study is to analyze the contribution of crowdsourcing techniques to the promotion of advanced social sciences research, exploiting open data available from the geographical positioning system (GPS) to analyze human behavior. In our study, we present the conceptual design of a device that, with the help of a global positioning system-data collection device (GPS-DCD), associates behavioral aspects of human life with place. The main contribution of this study is to integrate research in computer science and information systems with that in social science. The prototype system summarized in this work, proves the capacity of crowdsourcing and big data research to facilitate aggregation of microcontent related to human behavior toward improved quality of life and well-being in modern smart cities. Various ethical issues are also discussed to promote the scientific debate on this matter. Our study shows the capacity of emerging technologies to deal with social challenges. This kind of research will gain increased momentum in the future due to the availability of big data and new business models for social platforms.

ACS Style

Wadee Alhalabi; Miltiadis Lytras; Nada Aljohani. Crowdsourcing Research for Social Insights into Smart Cities Applications and Services. Sustainability 2021, 13, 7531 .

AMA Style

Wadee Alhalabi, Miltiadis Lytras, Nada Aljohani. Crowdsourcing Research for Social Insights into Smart Cities Applications and Services. Sustainability. 2021; 13 (14):7531.

Chicago/Turabian Style

Wadee Alhalabi; Miltiadis Lytras; Nada Aljohani. 2021. "Crowdsourcing Research for Social Insights into Smart Cities Applications and Services." Sustainability 13, no. 14: 7531.

Journal article
Published: 28 June 2021 in Healthcare
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Smart health technology includes physical sensors, intelligent sensors, and output advice to help monitor patients’ health and adjust their behavior. Virtual reality (VR) plays an increasingly larger role to improve health outcomes, being used in a variety of medical specialties including robotic surgery, diagnosis of some difficult diseases, and virtual reality pain distraction for severe burn patients. Smart VR health technology acts as a decision support system in the diseases diagnostic test of patients as they perform real world tasks in virtual reality (e.g., navigation). In this study, a non-invasive, cognitive computerized test based on 3D virtual environments for detecting the main symptoms of dementia (memory loss, visuospatial defects, and spatial navigation) is proposed. In a recent study, the system was tested on 115 real patients of which thirty had a dementia, sixty-five were cognitively healthy, and twenty had a mild cognitive impairment (MCI). The performance of the VR system was compared with Mini-Cog test, where the latter is used to measure cognitive impaired patients in the traditional diagnosis system at the clinic. It was observed that visuospatial and memory recall scores in both clinical diagnosis and VR system of dementia patients were less than those of MCI patients, and the scores of MCI patients were less than those of the control group. Furthermore, there is a perfect agreement between the standard methods in functional evaluation and navigational ability in our system where P-value in weighted Kappa statistic= 100% and between Mini-Cog-clinical diagnosis vs. VR scores where P-value in weighted Kappa statistic= 93%.

ACS Style

Areej Bayahya; Wadee Alhalabi; Sultan AlAmri. Smart Health System to Detect Dementia Disorders Using Virtual Reality. Healthcare 2021, 9, 810 .

AMA Style

Areej Bayahya, Wadee Alhalabi, Sultan AlAmri. Smart Health System to Detect Dementia Disorders Using Virtual Reality. Healthcare. 2021; 9 (7):810.

Chicago/Turabian Style

Areej Bayahya; Wadee Alhalabi; Sultan AlAmri. 2021. "Smart Health System to Detect Dementia Disorders Using Virtual Reality." Healthcare 9, no. 7: 810.

Methodologies and application
Published: 02 February 2021 in Soft Computing
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An important aspect of positron emission tomography (PET) imaging in a clinical application is the localization and detection of tumors and lesions by administering a predetermined amount of radiotracer. This allows detailed 3D imaging of a wide range of molecular processes in the human body. The quality of the PET image is dependent on the amount of radiotracer administrated and the patient’s body parameters. As the amount of injected radiotracer increases, an overall improvement in the quality of the reconstructed PET images and lesion detectability is expected, but it is accepted that any radiotracer doses are associated with the risk of radiation and it could be harmful to the patient if essential PET imaging is not performed because of the fear of radiation risk. To ensure the highest-quality diagnosis and the smallest radiation risk, the patient should receive the smallest amount of radiotracer that provides an image of sufficient quality. Our study proposed a PET simulation tool to predict the smallest amount of radiotracer that allows for a reliable diagnosis based on patients’ significant body parameters (weight, age) within a fixed total scan time to improve diagnostic processes for detecting and localizing tumors. We built a model of a particular PET scanner and patient, based on real MRI images and a digital anthropomorphic phantom of the brain. We performed Monte Carlo simulations of PET data acquisitions. A dataset of 60 patients was used, and 11 independent dose prediction simulations were performed for each patient. We concluded that our simulator estimated injected radiotracer doses 28% smaller than the standard clinical doses that yielded PET images of clinically acceptable quality. We also found that the total injected radiotracer dose for adult patients was affected by considering the patient’s weight rather than age.

ACS Style

Ebtesam Alsanea; Wadee Alhalabi. Prediction of radioactive injection dosage for PET imaging. Soft Computing 2021, 25, 5847 -5854.

AMA Style

Ebtesam Alsanea, Wadee Alhalabi. Prediction of radioactive injection dosage for PET imaging. Soft Computing. 2021; 25 (8):5847-5854.

Chicago/Turabian Style

Ebtesam Alsanea; Wadee Alhalabi. 2021. "Prediction of radioactive injection dosage for PET imaging." Soft Computing 25, no. 8: 5847-5854.

Journal article
Published: 28 October 2020 in Future Generation Computer Systems
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In the latest years, the use of social media has increased dramatically. Content, as well as media, are shared in Big Data volumes and this poses a critical requirement for the behavior supervision and fraud protection. The detection of terrorist behavior in the social media is essential to every country, but has complexities in both the supervision of shared content and in the understanding of behavior. Therefore, in this project an artificial intelligence enabled Detection Terrorist behavior system (ALT-TERROS) as a key priority was developed. The key requirements for a terrorist behavior detection system operating in the Kingdom are: (i) Data integration, (ii) Advanced smart analysis capacity and (iii) Decision making capability. The unique value proposition is based on a sophisticated integrated approach to the management of distributed data available on social media, which uses advanced social mining methods for the detection of patterns of terrorist behavior, its visualization and use for decision making. In addition, several critical issues related to the availability of APIs to handle Arabic text as well as the need to provide an end-to-end workflow from the extraction of textual and visual data over social media to the deliverable of advanced analytics and visualizations for rating mechanisms were highlighted. The key contribution of our approach is a testbed for the application of novel scientific approaches and algorithms for the rating of harm associated to social media content. The complexity of the problem does not allow hyper-optimistic solutions, but the combination of heuristic rules and advanced decision-making capabilities is toward the right direction. We contribute to the body of the theory of Sentiment Analysis for Arabic content and we also summarize a heuristic algorithm developed for the future. In the future research directions, we emphasize on the need to develop trusted Arabic thesaurus and corpus for the use sentiment analysis.

ACS Style

Wadee Alhalabi; Jari Jussila; Kamal Jambi; Anna Visvizi; Hafsa Qureshi; Miltiadis Lytras; Areej Malibari; Raniah Samir Adham. Social mining for terroristic behavior detection through Arabic tweets characterization. Future Generation Computer Systems 2020, 116, 132 -144.

AMA Style

Wadee Alhalabi, Jari Jussila, Kamal Jambi, Anna Visvizi, Hafsa Qureshi, Miltiadis Lytras, Areej Malibari, Raniah Samir Adham. Social mining for terroristic behavior detection through Arabic tweets characterization. Future Generation Computer Systems. 2020; 116 ():132-144.

Chicago/Turabian Style

Wadee Alhalabi; Jari Jussila; Kamal Jambi; Anna Visvizi; Hafsa Qureshi; Miltiadis Lytras; Areej Malibari; Raniah Samir Adham. 2020. "Social mining for terroristic behavior detection through Arabic tweets characterization." Future Generation Computer Systems 116, no. : 132-144.

Journal article
Published: 07 June 2019 in Data Technologies and Applications
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Purpose Concentration is the key to safer driving. Ideally, drivers should focus mainly on front views and side mirrors. Typical distractions are eating, drinking, cell phone use, using and searching things in car as well as looking at something outside the car. In this paper, distracted driving detection algorithm is targeting on nine scenarios nodding, head shaking, moving the head 45° to upper left and back to position, moving the head 45° to lower left and back to position, moving the head 45° to upper right and back to position, moving the head 45° to lower right and back to position, moving the head upward and back to position, head dropping down and blinking as fundamental elements for distracted events. The purpose of this paper is preliminary study these scenarios for the ideal distraction detection, the exact type of distraction. Design/methodology/approach The system consists of distraction detection module that processes video stream and compute motion coefficient to reinforce identification of distraction conditions of drivers. Motion coefficient of the video frames is computed which follows by the spike detection via statistical filtering. Findings The accuracy of head motion analyzer is given as 98.6 percent. With such satisfactory result, it is concluded that the distraction detection using light computation power algorithm is an appropriate direction and further work could be devoted on more scenarios as well as background light intensity and resolution of video frames. Originality/value The system aimed at detecting the distraction of the public transport driver. By providing instant response and timely warning, it can lower the road traffic accidents and casualties due to poor physical conditions. A low latency and lightweight head motion detector has been developed for online driver awareness monitoring.

ACS Style

Kwok Tai Chui; Wadee Alhalabi; Ryan Wen Liu. Head motion coefficient-based algorithm for distracted driving detection. Data Technologies and Applications 2019, 53, 171 -188.

AMA Style

Kwok Tai Chui, Wadee Alhalabi, Ryan Wen Liu. Head motion coefficient-based algorithm for distracted driving detection. Data Technologies and Applications. 2019; 53 (2):171-188.

Chicago/Turabian Style

Kwok Tai Chui; Wadee Alhalabi; Ryan Wen Liu. 2019. "Head motion coefficient-based algorithm for distracted driving detection." Data Technologies and Applications 53, no. 2: 171-188.

Journal article
Published: 30 August 2018 in Applied Soft Computing
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Service Oriented Computing (SOC) is being utilized and relied on by the enterprise application development and distributed computing. The three fundamental interacting components in SOC are service providers, service requesters, and registries. One of the challenges that face the requester when choosing a service is to find the trustworthy service which satisfies and serves the requester and provider contexts. This is due to the increasing number of services in registries. Thus, there is a need for a ranking approach which takes into account both the rich features and the context of service requester and provider, in order to improve the applicability of a top-ranking result. By including the trustworthiness requirements in the ranking process for the purpose of providing a reliable service with respect to the requester’s preferences, we put forward a generic structure and framework for matching and ranking trustworthy context-dependent services. We based our framework on the logic and set theory, and defined a formal description of the mentioned services. Consequently, we assessed our suggested architecture using a real-world case study. The study presents the effectiveness of the suggested ranking model architecture for finding the most suitable trustworthy service according to user preferences while considering the context information. The proposed framework can be utilized in several application domains.

ACS Style

Afnan Bawazir; Wadee Alhalabi; Mubarak Mohamed; Akila Sarirete; Ammar Alsaig. A formal approach for matching and ranking trustworthy context-dependent services. Applied Soft Computing 2018, 73, 306 -315.

AMA Style

Afnan Bawazir, Wadee Alhalabi, Mubarak Mohamed, Akila Sarirete, Ammar Alsaig. A formal approach for matching and ranking trustworthy context-dependent services. Applied Soft Computing. 2018; 73 ():306-315.

Chicago/Turabian Style

Afnan Bawazir; Wadee Alhalabi; Mubarak Mohamed; Akila Sarirete; Ammar Alsaig. 2018. "A formal approach for matching and ranking trustworthy context-dependent services." Applied Soft Computing 73, no. : 306-315.

Journal article
Published: 12 December 2017 in Journal of Science and Technology Policy Management
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Purpose Up-to-date, the simulation of pedestrian behavior is used to support the design and analysis of urban infrastructure and public facilities. The purpose of this paper is to present a microscopic model that describes pedestrian behavior in a two-dimensional space. It is based on multi-agent systems and cellular automata theory. The concept of layered-intelligent terrain from the video game industry is reused and concepts such as tracing, evasion and rejection effects related to pedestrian interactive behavior are involved. In a simulation scenario, an agent represents a pedestrian with homogeneous physical characteristics such as walking speed and height. The agents are moved through a discrete space formed by a lattice of hexagonal cells, where each one can contain up to one agent at the same time. The model was validated by using a test that is composed of 17 real data sets of pedestrian unidirectional flow. Each data set has been extracted from laboratory-controlled scenarios carried out with up to 400 people walking through a corridor whose configuration changed in form of the amplitude of its entrance doors and the amplitude of its exit doors from one experiment to another. Moreover, each data set contained different groups of coordinates that compose pedestrian trajectories. The scenarios were replicated and simulated using the proposed model, obtaining 17 simulated data sets. In addition, a measurement methodology based on Voronoi diagrams was used to compute the velocity, density and specific flow of pedestrians to build a time-series graphic and a set of heat maps for each of the real and simulated data sets. Design methodology/approach The approach consists of a multi-agent system and cellular automata theory. The obtained results were compared with other studies and a statistical analysis based on similarity measurement is presented. Findings A microscopic mobility model that describes pedestrian behavior in a two-dimensional space is presented. It is based on multi-agent systems and cellular automata theory. The concept of layered-intelligent terrain from the video game industry is reused and concepts such as tracing, evasion and rejection effects related to pedestrian interactive behavior are involved. On average, the simulated data sets are similar by 82 per cent in density and 62 per cent in velocity compared to the real data sets. It was observed that the relation between velocity and density from real scenarios could not be replicated. Research limitations/implications The main limitations are presented in the speed simulations. Although the obtained results present a similar behavior to the reality, it is necessary to introduce more variables in the model to improve the precision and calibration. Other limitation is the dimension for simulating variables at this moment 2D is presented. So the resolution of cells, making that pedestrian to occupy many cells at the same time and the addition of three dimensions to the terrain will be a good challenge. Practical implications In total, 17 data sets were generated as a case study. They contain information related to speed, trajectories, initial and ending points. The data sets were used to calibrate the model and analyze the behavior of pedestrians. Geospatial data were used to simulate the public infrastructure in which pedestrians navigate, taking into account the initial and ending points. Social implications The social impact is directly related to the behavior analysis of pedestrians to know tendencies, trajectories and other features that aid to improve the public facilities. The results could be used to generate policies oriented toward developing more consciousness in the public infrastructure development. Originality/value The general methodology is the main value of this work. Many approaches were used, designed and implemented for analyzing the pedestrians’ behavior. In addition, all the methods were implemented in plug-in for Quantum GIS. The analysis was described with heat maps and statistical approaches. In addition, the obtained results are focused on analyzing the density, speed and the relationship between these features.

ACS Style

Miguel Torres-Ruiz; Marco Moreno-Ibarra; Wadee Alhalabi; Rolando Quintero; Giovanni Guzmán. Towards a microscopic model for analyzing the pedestrian mobility in an urban infrastructure. Journal of Science and Technology Policy Management 2017, 9, 170 -188.

AMA Style

Miguel Torres-Ruiz, Marco Moreno-Ibarra, Wadee Alhalabi, Rolando Quintero, Giovanni Guzmán. Towards a microscopic model for analyzing the pedestrian mobility in an urban infrastructure. Journal of Science and Technology Policy Management. 2017; 9 (2):170-188.

Chicago/Turabian Style

Miguel Torres-Ruiz; Marco Moreno-Ibarra; Wadee Alhalabi; Rolando Quintero; Giovanni Guzmán. 2017. "Towards a microscopic model for analyzing the pedestrian mobility in an urban infrastructure." Journal of Science and Technology Policy Management 9, no. 2: 170-188.

Journal article
Published: 01 April 2017 in International Journal on Semantic Web and Information Systems
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The King Abdullah Scholarship Program was created in 2005 by sending Saudi students to study abroad. The program has a series of specific rules and it was found that due to the multitude of services the students can choose from, there is a great difficulty in finding the most suitable universities/programs/courses. Traditional manual selection requires students to visit every university website looking for their preferred courses. Some students prefer to talk to advisers and recruiters to get help. Students are not aware that those advisers and recruiters might have a financial interest to direct students to certain universities. Therefore, the risk of applying to the wrong institution is increased. Manually selecting what is best for each criterion is a tedious task, and, consequently, in this work the authors use an automated system to reach a plausible solution.

ACS Style

Wadee S. Alhalabi; Afnan Bawazir; Mubarak Mohammad; Akila Sarirete. Matching and Ranking Trustworthy Context-Dependent Universities. International Journal on Semantic Web and Information Systems 2017, 13, 109 -124.

AMA Style

Wadee S. Alhalabi, Afnan Bawazir, Mubarak Mohammad, Akila Sarirete. Matching and Ranking Trustworthy Context-Dependent Universities. International Journal on Semantic Web and Information Systems. 2017; 13 (2):109-124.

Chicago/Turabian Style

Wadee S. Alhalabi; Afnan Bawazir; Mubarak Mohammad; Akila Sarirete. 2017. "Matching and Ranking Trustworthy Context-Dependent Universities." International Journal on Semantic Web and Information Systems 13, no. 2: 109-124.

Journal article
Published: 28 July 2016 in SpringerPlus
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The Hamilton cycle problem is closely related to a series of famous problems and puzzles (traveling salesman problem, Icosian game) and, due to the fact that it is NP-complete, it was extensively studied with different algorithms to solve it. The most efficient algorithm is not known. In this paper, a necessary condition for an arbitrary un-directed graph to have Hamilton cycle is proposed. Based on this condition, a mathematical solution for this problem is developed and several proofs and an algorithmic approach are introduced. The algorithm is successfully implemented on many Hamiltonian and non-Hamiltonian graphs. This provides a new effective approach to solve a problem that is fundamental in graph theory and can influence the manner in which the existing applications are used and improved.

ACS Style

Wadee Alhalabi; Omar Kitanneh; Amira Alharbi; Zain Balfakih; Akila Sarirete. Efficient solution for finding Hamilton cycles in undirected graphs. SpringerPlus 2016, 5, 1192 .

AMA Style

Wadee Alhalabi, Omar Kitanneh, Amira Alharbi, Zain Balfakih, Akila Sarirete. Efficient solution for finding Hamilton cycles in undirected graphs. SpringerPlus. 2016; 5 (1):1192.

Chicago/Turabian Style

Wadee Alhalabi; Omar Kitanneh; Amira Alharbi; Zain Balfakih; Akila Sarirete. 2016. "Efficient solution for finding Hamilton cycles in undirected graphs." SpringerPlus 5, no. 1: 1192.

Journal article
Published: 26 July 2016 in Behaviour & Information Technology
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Virtual reality (VR) is being used for many applications, ranging from medicine to space and from entertainment to training. In this research paper, VR is applied in engineering education, the scope being to compare three major VR systems with the traditional education approach when we do not use any VR system (No-VR). The Corner Cave System (CCS) is compared with the Head Mounted Display (HMD) system. Both of these systems are using a tracking system to reflect the user movements in the virtual environment. The CCS uses only three coordinates: x-, y- and z-axis. The HMD system has six degrees of freedom, the x-, y- and z-axis, as well as the roll, pitch and yaw. Those two systems are also compared with HMD, as a standalone device (HMD-SA) without the tracking system where it has only roll, pitch and yaw. The objective of the study was to evaluate the impact of VR systems on the students’ achievements in engineering colleges. The research examined the effect of the four different methods and compared the scores of the students after each test. The experiments were ran over 48 students. Those systems show incredible results.

ACS Style

Wadee S. Alhalabi. Virtual reality systems enhance students’ achievements in engineering education. Behaviour & Information Technology 2016, 35, 919 -925.

AMA Style

Wadee S. Alhalabi. Virtual reality systems enhance students’ achievements in engineering education. Behaviour & Information Technology. 2016; 35 (11):919-925.

Chicago/Turabian Style

Wadee S. Alhalabi. 2016. "Virtual reality systems enhance students’ achievements in engineering education." Behaviour & Information Technology 35, no. 11: 919-925.

Journal article
Published: 01 June 2016 in Computers in Human Behavior
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ACS Style

Miguel Torres; Eduardo Loza; Wadee Al-Halabi; Giovanni Guzmán; Rolando Quintero; Marco Moreno-Ibarra; Miguel Torres-Ruiz. Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects. Computers in Human Behavior 2016, 59, 115 -133.

AMA Style

Miguel Torres, Eduardo Loza, Wadee Al-Halabi, Giovanni Guzmán, Rolando Quintero, Marco Moreno-Ibarra, Miguel Torres-Ruiz. Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects. Computers in Human Behavior. 2016; 59 ():115-133.

Chicago/Turabian Style

Miguel Torres; Eduardo Loza; Wadee Al-Halabi; Giovanni Guzmán; Rolando Quintero; Marco Moreno-Ibarra; Miguel Torres-Ruiz. 2016. "Qualitative spatial reasoning methodology to determine the particular domain of a set of geographic objects." Computers in Human Behavior 59, no. : 115-133.

Journal article
Published: 01 February 2016 in Computers in Human Behavior
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As research performance becomes increasingly important for academic institutions in competition for rankings, student recruitment, and funding, many performance indicators have been developed to measure various aspects of research performance. ResearchGate combines bibliometrics and altmetrics to create a more comprehensive performance measure for researchers and institutions. The ResearchGate score, the flagship indicator calculated by an undisclosed algorithm, is a metric that measure scientific reputation. In this research, ResearchGate metrics are firstly compared with those that Research Excellence Framework (REF) and Quacquarelli Symonds (QS) World University Rankings to assess the quality of UK universities and global universities respectively. This study then utilizes correlation analysis to examine whether ResearchGate metrics demonstrate effectiveness on the researcher level in comparison with SciVal metrics. For this research, 300 ResearchGate members from the supply chain management field were selected. The results provide empirical evidence that demonstrate that the ResearchGate score can be an effective indicator for measuring individual researcher performance.

ACS Style

Min-Chun Yu; Yen-Chun Jim Wu; Wadee Alhalabi; Hao-Yun Kao; Wen-Hsiung Wu. ResearchGate: An effective altmetric indicator for active researchers? Computers in Human Behavior 2016, 55, 1001 -1006.

AMA Style

Min-Chun Yu, Yen-Chun Jim Wu, Wadee Alhalabi, Hao-Yun Kao, Wen-Hsiung Wu. ResearchGate: An effective altmetric indicator for active researchers? Computers in Human Behavior. 2016; 55 ():1001-1006.

Chicago/Turabian Style

Min-Chun Yu; Yen-Chun Jim Wu; Wadee Alhalabi; Hao-Yun Kao; Wen-Hsiung Wu. 2016. "ResearchGate: An effective altmetric indicator for active researchers?" Computers in Human Behavior 55, no. : 1001-1006.