A5030348316- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Tactile and Sensory Interactions
- Vehicle License Plate Recognition
- Advanced Image and Video Retrieval Techniques
- CCD and CMOS Imaging Sensors
- Autonomous Vehicle Technology and Safety
- Hand Gesture Recognition Systems
- Advanced Malware Detection Techniques
- Face recognition and analysis
- Traffic Prediction and Management Techniques
- Advanced Vision and Imaging
- AI in cancer detection
- Image and Signal Denoising Methods
- Robotics and Sensor-Based Localization
- Smart Parking Systems Research
- COVID-19 diagnosis using AI
- Image Processing Techniques and Applications
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Solar Radiation and Photovoltaics
- Network Security and Intrusion Detection
- Handwritten Text Recognition Techniques
- Digital Filter Design and Implementation
Northern Border University
2019-2025
King Salman Center for Disability Research
2023-2025
University of Monastir
2013-2024
University of Sfax
2020
Institut Mines-Télécom
2020
Tunisia Private University
2012
Lung cancer presents one of the leading causes mortalities for people around world. image analysis and segmentation are primary steps used early diagnosis cancer. Handcrafted medical imaging a very time-consuming task radiation oncologists. To address this problem, we propose in work to develop full entire system lung CT scan imaging. The proposed is composed two main parts: first part developed on top UNETR network, second classification classify output part, either benign or malignant,...
Green energy is very important for developing new cities with high consumption, in addition to helping environment preservation. Integrating solar into a grid challenging and requires precise forecasting of production. Recent advances Artificial Intelligence have been promising. Particularly, Deep Learning technologies achieved great results short-term time-series forecasting. Thus, it suitable use these techniques production In this work, combination Convolutional Neural Network (CNN), Long...
Lung cancer starts and spreads in the tissues of lungs, more specifically, tissue that forms air passages. This is reported as leading cause deaths worldwide. In addition to being most fatal, it common type cancer. Nearly 47,000 patients are diagnosed with annually article proposes a fully automated practical system identify classify lung aims detect its early stage save lives if possible or reduce death rates. It involves deep convolutional neural network (DCNN) technique, VGG-19, another...
Face recognition is an important function of video surveillance systems, enabling verification and identification people who appear in a scene often captured by distributed network cameras. The from the faces images arouses great interest scientific community, partly because application interests but also challenge that this represents for artificial vision algorithms. They must be able to cope with variability aspects themselves as well variations shooting parameters (pose, lighting,...
Visually impaired people seek social integration, yet their mobility is restricted. They need a personal navigation system that can provide privacy and increase confidence for better life quality. In this paper, based on deep learning neural architecture search (NAS), we propose an intelligent assistance visually people. The model has achieved significant success through well-designed architecture. Subsequently, NAS proved to be promising technique automatically searching the optimal...
Blind and visually impaired people face different challenges when navigating indoors outdoors. In this context, we suggest developing an obstacle detection system based on a modified YOLO v5 neural network architecture. The suggested is capable of recognizing locating set landmark indoor outdoor objects that are extremely useful for Visually Impaired (BVI) navigation aids. Training evaluation experiments were conducted using two datasets: the IODR dataset object MS COCO detection. We used...
Emerging technologies have made internet connection a vital activity facilitating access to many services. However, raises security concerns, such as illegally acquiring private information, passwords, and identifiers. Phishing websites are the first choice for attackers that try users' space. Social engineering attacks performed by designing fake similar real ones inviting victim those collect their sensitive information then redirect them actual site. Due importance of detecting phishing...
Sign language recognition and translation remain pivotal for facilitating communication among the deaf hearing communities. However, end-to-end sign (SLT) faces major challenges, including weak temporal correspondence between (SL) video frames gloss annotations complexity of sequence alignment long SL videos natural sentences. In this paper, we propose an Adaptive Transformer (ADTR)-based deep learning framework that enhances processing robust efficient SLT. The proposed model incorporates...