Intelligent scaling for 6G IoE services for resource provisioning حسب Abdullah Alharbi (4173502)

"…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …"

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. …"

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)

"…Our findings indicated that early prophylaxis significantly reduced the incidence of VTE, deep vein thrombosis (DVT), pulmonary embolism (PE), and overall mortality when compared to late administration. …"

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. …"

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. …"

The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global... حسب Farin Kamangar (63964)

"…Oesophageal cancer caused 9·78 million (9·53–10·03) DALYs, with an age-standardised rate of 120 (117–123) per 100 000 population. Between 1990 and 2017, age-standardised incidence decreased by 22·0% (18·6–25·2), mortality decreased by 29·0% (25·8–32·0), and DALYs decreased by 33·4% (30·4–36·1) globally. …"

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)

"…Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …"

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)

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review حسب Hazrat Ali (421019)

"…It provides key insights into how vision transformers complemented the performance of AI and deep learning methods for lung cancer. Furthermore, the review also identifies the datasets that contributed to advancing the field.…"

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures حسب Irfan Ali Kandhro (17541876)

"…To address these issues, we propose a deep learning-based novel method to detect cybersecurity vulnerabilities and breaches in cyber-physical systems. …"

Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems حسب Raka Jovanovic (17947838)

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

"…Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. …"

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm حسب Prabu Selvam (22330264)

"…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …"

YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images حسب Prabu Selvam (22330264)

"…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …"

Identifying Regional Trends in Avatar Customization حسب Peter Mawhorter (18602944)

"…We find that avatar customization correlates with increased social activity, and we are able to identify distinct visual trends among the U.S.…"

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب Ikhlas Ghiat (16932564)

"…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). …"