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. …"

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

"…AI, particularly Convolutional Neural Network (CNN) models, can provide accurate and efficient analysis of ultrasound images, enabling automated detection, improving diagnostic accuracy, and facilitating real-time analysis. Problem Statement: This study aims to evaluate deep learning methods for binary classification of hepatic steatosis using ultrasound images. …"

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. …"

Image Steganography: A Review of the Recent Advances حسب Nandhini Subramanian (16896453)

"…The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. …"

Double-Edged Defense: Thwarting Cyber Attacks and Adversarial Machine Learning in IEC 60870-5-104 Smart Grids حسب Hadir Teryak (17986978)

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …"

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks حسب Mohamed Massaoudi (16888710)

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

"…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …"

Immunomodulatory effects of tumor Lactate Dehydrogenase C (LDHC) in breast cancer حسب Adviti Naik (673163)

"…</p><h3>Methods</h3><p dir="ltr">TIMER AND TIDE deconvolution methods were used to investigate the relationship between tumor <i>LDHC</i> expression, immune cell infiltration and T cell dysfunction. …"