An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…<p dir="ltr">In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. …”

Detecting Code Smells by Jammal, Rim El

Get full text
Get full text
Get full text

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics by Md. Ahasan Atick Faisal (15302410)

“…<p dir="ltr">Ground reaction force and moment (GRF&M) measurements are vital for biomechanical analysis and significantly impact the clinical domain for early abnormality detection for different neurodegenerative diseases. …”

Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

“…Research on tools for automating the proofreading of Arabic text has received much attention in recent years. There is an increasing demand for applications that can detect and correct Arabic spelling and grammatical errors to improve the quality of Arabic text content and application input. …”
Get full text
Get full text

Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

“…This practice has spread substantially due to rapid technological development and has gained significant attention in several domains involving data exchange, such as e-commerce, digital marketing, social media platforms, and others. …”
Get full text

Plant Leaf Disease Detection Using Ensemble Learning and Explainable AI by Ammar Oad (21324182)

“…This study introduces an AI (Artificial Intelligence) model that detects and explains plant diseases through image analysis. …”

Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

“…Typically, analyzing big occupancy data gathered by BIoT networks helps significantly identify the causes of wasted energy and recommend corrective actions. …”

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…<p>In this paper, special attention is paid to the detection and diagnosis of various incipient faults of uncertain wind energy conversion (WEC) systems. …”

Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems by Ekramul Haque Tusher (21324362)

“…The volume of spam emails is rising rapidly day by day. Detecting and filtering spam presents significant and complex challenges for email systems. …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…<p dir="ltr">Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. An intrusion detection system (IDS) is the most promising solution for preventing malicious intrusions and tracing suspicious network behavioral patterns. …”

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

“…Following, insights about current research trends are discussed to widen the applications and effectiveness of the anomaly detection technology before deriving future directions attracting significant attention. …”

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems by Amal Hichri (21383672)

“…<p dir="ltr">Modern photovoltaic (PV) systems have received significant attention regarding fault detection and diagnosis (FDD) for enhancing their operation by boosting their dependability, availability, and necessary safety. …”

Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems by Khaled Dhibi (16891524)

“…On the other hand, ensemble learning (EL) techniques have gained significant attention from the scientific community. …”

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

“…This study introduces an improved PCB defect detection model, YOLO-DefXpert, using the YOLOv11 algorithm to address the low accuracy and efficiency challenges in detecting tiny-sized defects on PCBs. …”

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …”

Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation by Faseela Abdullakutty (22564814)

“…Multi-modal fusion significantly outperforms unimodal methods, especially when class imbalances are mitigated by using SMOTE. …”