A5015483234- Advanced Neural Network Applications
- Vehicle License Plate Recognition
- Crystallography and molecular interactions
- Chemical Synthesis and Characterization
- Chalcogenide Semiconductor Thin Films
- Electric and Hybrid Vehicle Technologies
- Insect and Pesticide Research
- Artificial Intelligence in Healthcare and Education
- Water Quality Monitoring Technologies
- Vehicle Dynamics and Control Systems
- Nonlinear Optical Materials Research
- Fullerene Chemistry and Applications
- IoT-based Smart Home Systems
- Organic Chemistry Cycloaddition Reactions
- Handwritten Text Recognition Techniques
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Memory and Neural Computing
- X-ray Diffraction in Crystallography
- Embedded Systems and FPGA Design
- Plant and animal studies
- Advanced Biosensing Techniques and Applications
- Neuroethics, Human Enhancement, Biomedical Innovations
- Video Surveillance and Tracking Methods
- COVID-19 diagnosis using AI
- Nuclear Physics and Applications
Arabian Gulf University
2024
Lebanese University
2023
Islamic Azad University Pharmaceutical Sciences Branch
2020
University of Bahrain
2018-2019
Egyptian Atomic Energy Authority
2007
In this paper, we have proposed and developed a comprehensive Convolutional Neural Network (CNN) classifier “WAF-LeNet” to be used in traffic signs recognition identification that empowers the autonomous driving technologies. The implemented CNN architecture is deep fifteen-layer network has been selected after extensive trials. got trained using Adam's optimization algorithm based on scholastic gradient descent technique. learning process carried out well-known “German Traffic Sign...
Abstract Poly (acrylamide-acrylic acid-dimethylaminoethylmethacrylate), p(AM-AA-DMAEM) and Poly(acrylamide-acrylic acid)-ethylenediaminetetracetic acid disodium, p(AM-AA)-EDTANa2 were prepared by gamma radiation-induced template polymerization technique used for the separation of Ga (III) from Cu (II), Ni Zn (II) in aqueous media. The effect pH contact time on process was studied. optimum value is 3–3.5. result shows that first extracted while Zn(II) are slightly at this value. recovery...
In chemical and industrial processes, the level control of liquids in tanks is significant widely used, especially power stations petroleum industries. The liquid can be controlled by most common method, PID due to its efficiency performance achieving desired set point. this paper, water tank using a sensor controller system will designed implemented based on Arduino microcontroller algorithm that controls change flow rate controlling DC pump with help MOSFETs interface circuit. Tuning...
In this paper, a comprehensive Model-Predictive-Control (MPC) controller that enables effective complex track maneuvering for Self-Driving Cars (SDC) is proposed. The paper presents the full design details and implementation stages of proposed SDC-MPC. receives several input signals such as an accurate car position measurement from localization module SDC measured in global map coordinates, instantaneous vehicle speed, well as, reference trajectory path planner SDC. Then, SDC-MPC generates...