0000-0003-4245-322X About
Dr. Jihane Ben Slimane is currently an Associate Professor in the Department of Computer Sciences at the Faculty of Computing and Information Technology , Northern Border University in Saudi Arabia. She is also a member of the Analysis, Design, and Control of Systems Laboratory in the National Engineering School of Tunis.
Dr. Ben Slimane obtained her PhD from the National Engineering School of Tunis in Electrical Engineering, specializing in Automation and Industrial Computer Sciences. Her areas of expertise and research interests include Artificial Intelligence, Machine Learning, Neural Networks, Fault Diagnosis, and Cybersecurity.
Aside from her academic pursuits, Dr. Ben Slimane has held various managerial positions within the faculty of Computing and Information Technology in Saudi Arabia. This combination of academic and leadership experience highlights her dedication to both research and administrative responsibilities.
Employment
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Northern Border University Assistant Professor2014 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Model-based Design of a High-Throughput Canny Edge Detection Accelerator on Zynq- 7000 FPGA Save
- Efficient Hardware Accelerator and Implementation of JPEG 2000 MQ Decoder Architecture Save
- A Framework for Efficient and Accurate Automated CLO and PLO Assessment Save
- Deep Learning for Tomato Disease Detection with YOLOv8 Save
- Application of Extreme Learning Machine for Shunt Faults Detection and Classification in Three-phase Transmission Line Systems Save
- Shunt faults detection and classification in electrical power transmission line systems based on artificial neural networks Save
- A Fault Tolerant Control for Sensor and Actuator Failures of a Non Linear Hybrid System Save
- Classification methods based on pattern recognition and on neural networks for failure detection Save
- Supervised and Unsupervised Neural Classification for Multimodal Modeling of Complex Systems Save
- Support Vectors Machines for Failures Diagnosis Save