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. …"

Artificial intelligence in respiratory care حسب Manjush Karthika (18384907)

"…<p dir="ltr">The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. …"

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. …"

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)

"…IoT interconnection technology improves and facilitates people’s lives but, at the same time, poses a real threat to their security. …"

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

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic anal... حسب Haidong Wang (47381)

"…We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. …"

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)

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.…"

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS حسب Khan, Malik Nasir Afzal

"…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …"
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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). …"

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East حسب Mohammed Yusuf Ansari (16904523)

Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study حسب Fahad M. Alshagathrh (19365478)

"…Problem Statement: This study aims to evaluate deep learning methods for binary classification of hepatic steatosis using ultrasound images. …"

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis حسب Saeif Alhazbi (17058108)

"…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …"

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection حسب Shakeel Ahmad (702854)

"…<p dir="ltr">Advancement of the Internet has increased security risks associated with data protection and online shopping. …"