A5033656380- Hate Speech and Cyberbullying Detection
- Antenna Design and Optimization
- Visual Attention and Saliency Detection
- Internet Traffic Analysis and Secure E-voting
- Digital Media Forensic Detection
- Brain Tumor Detection and Classification
- Bullying, Victimization, and Aggression
- Anomaly Detection Techniques and Applications
- Antenna Design and Analysis
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence in Healthcare
- Tactile and Sensory Interactions
- Gaze Tracking and Assistive Technology
- Digital Imaging for Blood Diseases
- Microwave Engineering and Waveguides
- Public Relations and Crisis Communication
- ECG Monitoring and Analysis
- Disaster Management and Resilience
- Seismology and Earthquake Studies
Jazan University
2022-2024
University of Malaya
2024
In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance performance LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number techniques, including simulation, measurement, and model an RLC-equivalent circuit, are discussed in article as ways assess antenna's suitability for intended applications. The CST simulation gives suggested antenna reflection coefficient -38.40 dB 2.1 GHz bandwidth 357 (1.95 GHz-2.31...
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for treatment process and helps to save lives a large number people worldwide. Because they are non-invasive spare patients from having unpleasant biopsy, magnetic resonance imaging (MRI) scans frequently employed identify tumors. The manual identification tumors difficult requires considerable time due three-dimensional images that MRI scan one patient’s produces various angles. Moreover, variations in location, size,...
The automatic speech identification in Arabic tweets has generated substantial attention among academics the fields of text mining and natural language processing (NLP). quantity studies done on this subject experienced significant growth. This study aims to provide an overview field by conducting a systematic review literature that focuses hate identification, particularly language. goal is examine research trends offer guidance researchers highlighting most published between 2018 2023....
People are preoccupied with their own duties in today's environment, making it tough to oversee and care for disabled people. Paralyzed people, on the other hand, have a powerful desire move around freely. Different initiatives been taken past improve preserve self-esteem of such various technologies also created assist them better way. The primary advantage vision-based autonomous wheelchair is that can provide greater independence users limited mobility. methodology smart wheelchairs...
<title>Abstract</title> In recent times, we have seen an exponential rise in different chronic diseases due to our unhealthy lifestyles. Cardio disease is the most common and life-threatening among all diseases, which contributes a very high mortality rate. Accurate detection of cardio at early stage vital save lives people. Most existing cardiovascular systems suffer from lower performance efficiency redundant attributes, dimensionality curse, imbalance, noisy datasets. this work, proposed...
Technological developments over the past few decades have changed way people communicate, with platforms like social media and blogs becoming vital channels for international conversation. Even though hate speech is vigorously suppressed on media, it still a concern that needs to be constantly recognized observed. The Arabic language poses particular difficulties in detection of speech, despite considerable efforts made this area English-language content. calls consideration when comes...