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. …"

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …"

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. …"

Artificial intelligence in respiratory care حسب Manjush Karthika (18384907)

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)

"…Based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and Area Under the Receiver Operating Characteristic curve (AUC-ROC), it was established that SDN-ML-IoT, when applied to RF, outperforms other ML algorithms, as well as similar approaches related to our work. …"

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

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.…"

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)

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities حسب Liaqat Ali (641438)

"…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …"

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

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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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.…"

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. …"

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). …"

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

"…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …"

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations حسب Mohamed Massaoudi (16888710)

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

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

"…<p>Automatic food recognition systems have been receiving increasing attention in the research community with the advancements in inductive learning (e.g., classification in computer vision) due to their applicability in the healthcare and hospitality industry. …"