From classrooms to controllers: how school closures shaped children's video gaming habits حسب Muna Abed Alah (14779534)

"…Average weekly screen time increased significantly from 19.7 ± 10.1 h to 31.9 ± 12.6 h during closure (<i>p</i> < 0.001). …"

Impact of Exclusive Bus Lanes on Traffic Performance in Urban Areas حسب Abdulwahid, Amro Riyadh

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Behavioral Modeling of RF Power Amplifiers Using Reduced Sampling Rate حسب Abdelnaby, Moustafa Farag

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GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning حسب Semira Mohammed (15294167)

"…<p>Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …"

Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis حسب Karim Hader (2548618)

"…For every 100-m run above 5.5 m·s⁻¹, CK activity measured 24 h post-match increased by 30% and CMJPPO decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point.…"

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data حسب Alaa Awad Abdellatif (17151163)

"…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …"

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities حسب Md Golam Morshed (19420537)

"…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …"

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction حسب Yassine Himeur (14158821)

"…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …"

Evaluating machine learning technologies for food computing from a data set perspective حسب Nauman Ullah Gilal (17302714)

"…Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. …"

A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury حسب Muhammad Hamza Shuja (19748620)

"…Early PTP was categorized based on the timing of administration: 1) within 24 h, 2) within 48 h, and 3) within 72 h of hospital admission. …"

A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory حسب Mehdi Asadi (12566741)

"…<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. …"

A heuristics for HTTP traffic identification in measuring user dissimilarity حسب Adeyemi R. Ikuesan (14157123)

Food fraud detection using explainable artificial intelligence حسب Okan Buyuktepe (17991493)

"…<div><p>Recently, the global food supply chain has become increasingly complex, and its scalability has grown. …"

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب Rawan AlSaad (14159019)

"…<p dir="ltr">Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. …"

Artificial intelligence in respiratory care حسب Manjush Karthika (18384907)

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images حسب Tawsifur Rahman (14150523)

"…However, it is difficult to identify TB from CXR images in the early stage, which leads to time-consuming and expensive treatments. Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …"

Towards electric digital twin grid: Technology and framework review حسب Md. Mhamud Hussen Sifat (17337913)

"…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …"

Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review حسب Alaa Abd-alrazaq (17058018)

Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices حسب Neder Karmous (19743430)

"…These are considered to be an increasing trend, and it will be a major challenge to reduce risk, especially in the future. …"