A5075827801- Cardiac Valve Diseases and Treatments
- Vehicle License Plate Recognition
- Machine Learning and Algorithms
- Handwritten Text Recognition Techniques
- COVID-19 diagnosis using AI
- Cardiovascular Function and Risk Factors
- Artificial Intelligence in Healthcare
- Cardiac Imaging and Diagnostics
- Video Surveillance and Tracking Methods
- Image Processing and 3D Reconstruction
- Blood donation and transfusion practices
- Fuzzy Logic and Control Systems
- Smart Systems and Machine Learning
- Data Quality and Management
- Advanced Text Analysis Techniques
- Human Pose and Action Recognition
- IoT-based Smart Home Systems
- Brain Tumor Detection and Classification
- Oil and Gas Production Techniques
- Topic Modeling
- Hand Gesture Recognition Systems
- Neural Networks and Applications
- Advanced Data Processing Techniques
- Gait Recognition and Analysis
- Imbalanced Data Classification Techniques
University of West London
2023-2024
University of Palestine
2015-2019
In this paper an Artificial Neural Network (ANN) model, for predicting the performance of a sophomore student enrolled in engineering majors Faculty Engineering and Information Technology Al-Azhar University Gaza was developed tested.A number factors that may possibly influence were outlined.Such as high school score, score subject such Math I, II, Electrical Circuit Electronics I taken during freshman year, credits passed, cumulative grade point average types attended gender, among others,...
Doppler echocardiography is a widely utilised non-invasive imaging modality for assessing the functionality of heart valves, including mitral valve. Manual assessments traces by clinicians introduce variability, prompting need automated solutions. This study introduces an innovative deep learning model detection peak velocity measurements from inflow images, independent Electrocardiogram information. A dataset images annotated multiple expert cardiologists was established, serving as robust...
Background and Objective: Training deep learning models for medical image segmentation requires large annotated datasets, which can be expensive time-consuming to create. Active is a promising approach reduce this burden by strategically selecting the most informative samples segmentation. This study investigates use of active efficient left ventricle in echocardiography with sparse expert annotations. Methods: We adapt evaluate various sampling techniques, demonstrating their effectiveness...
Surveillance camera systems are one of the most popular tech tools keeping homes and business safe. Many these record continuously while some others start recording when a movement is detected. These methods consume huge storage, they need dramatic time to search in recorded files. Here, an AI-based desktop application which designed developed order only if person or human-face identified. This technique will improve system's efficiency terms reducing storage needed for saving recordings,...