Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection حسب Ahmad Yaser Alhaddad (7017434)

"…This review is an update on recent contributions utilizing novel sensing technologies over the past five years which include electrocardiogram, electromagnetic, bioimpedance, photoplethysmography, and acceleration measures as well as bodily fluid glucose sensors to monitor glucose and trend detection. …"

Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants حسب Surbhi Choudhary (21633701)

"…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…"

A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making حسب Sachin Jain (19161721)

"…The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …"

XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

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Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations حسب Elmeligy, Mohamed Mostafa Abdelazim

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Modeling and automated blackbox regression testing of web applications حسب Haraty, Ramzi

"…Moreover, the quick evolution of web technology and the high user demands made web applications subject to rapid maintenance and change, which require the development of efficient regression testing techniques. …"
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Next-generation energy systems for sustainable smart cities: Roles of transfer learning حسب Yassine Himeur (14158821)

"…This is possible by adopting next-generation energy systems, which leverage artificial intelligence, the Internet of things (IoT), and communication technologies to collect and analyze big data in real-time and effectively run city services. …"

Combined cycle gas turbine system optimization for extended range electric vehicles حسب Barakat, Aya A.

"…The two-steps methodology consists of conducting first an exergo-technological analysis using a Non-dominated Sorting Genetic Algorithm to identify the best suitable combined cycle configuration for integration in a series hybrid powertrain. …"
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Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier حسب Yassine Himeur (14158821)

"…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"

Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

"…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"

Image-CNN Based Process Control of Profile حسب Zeinab, Zeinab Jihad

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Optimal supercharge scheduling of electric vehicles حسب Atallah, Ribal F.

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Learning-Based Automatic Modulation Classification حسب Abdelmutalab, Ameen Elsiddig

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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks حسب Mohammed Almehdhar (22046597)

"…Specifically, we focus on the Controller Area Network (CAN) protocol, which is prevalent in in-vehicle communication systems, yet exhibits inherent security vulnerabilities. …"

Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach حسب Nagendra Prabhu Selvaraj (17542041)

"…On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. …"

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

"…<p dir="ltr">Much attention has been paid to the recognition of human emotions with the help of electroencephalogram (EEG) signals based on machine learning technology. Recognizing emotions is a challenging task due to the non-linear property of the EEG signal. …"

Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review حسب Avneet Kaur (712349)

"…<p dir="ltr">Agriculture can ensure food security and enhance monetary benefits if practiced with modern technologies and supported with artificial intelligence (AI). …"

Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …"

User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations حسب Abbas, Nadine Fawaz

"…Demand for mobile applications is increasing at an exponential rate which is loading existing wireless networks. The research community is currently actively involved in the design of new technologies that can enable massive device connections with the needed speeds and reliability. …"
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Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol حسب Santiago Hors-Fraile (5950823)

"…</p><h3>Discussion</h3><p dir="ltr">This study will explore whether a health recommender system algorithm integrated with an electronic health record can predict which tailored motivational health messages patients would prefer and consider to be of a good quality, encouraging them to engage with the system. …"