Abdulrahman Soliman

ORCID: 0000-0003-0608-9627
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About
Contact & Profiles
Research Areas
  • Image and Video Quality Assessment
  • Robotic Path Planning Algorithms
  • UAV Applications and Optimization
  • Lung Cancer Diagnosis and Treatment
  • Colorectal Cancer Screening and Detection
  • Gastric Cancer Management and Outcomes
  • Supercapacitor Materials and Fabrication
  • Image Processing and 3D Reconstruction
  • Video Coding and Compression Technologies
  • Distributed Control Multi-Agent Systems
  • Vehicle License Plate Recognition
  • Spectroscopy and Chemometric Analyses
  • Robotics and Sensor-Based Localization
  • Conducting polymers and applications
  • Industrial Vision Systems and Defect Detection
  • Advancements in Battery Materials
  • Advanced Data Compression Techniques

Qatar University
2022-2024

Alfaisal University
2022

From traffic monitoring to livestock tracking, and military reconnaissance marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time visit all planned locations. Consequently, target visitation needs be smart minimize mechanical energy. We propose develop AirEye UAV-based platform that can perform in shortest possible without knowing targets' exact locations, but with known probabilistic distribution. show how...

10.1109/iwcmc55113.2022.9824676 article EN 2022 International Wireless Communications and Mobile Computing (IWCMC) 2022-05-30

10.1109/memea60663.2024.10596912 article EN 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2024-06-26

Telemedicine applications have recently received substantial potential and interest, especially after the COVID-19 pandemic. Remote experience will help people get their complex surgery done or transfer knowledge to local surgeons, without need travel abroad. Even with breakthrough improvements in internet speeds, delay video streaming is still a hurdle telemedicine applications. This imposes using image compression region of interest (ROI) techniques reduce data size transmission needs....

10.1109/icc45041.2023.10279455 article EN ICC 2022 - IEEE International Conference on Communications 2023-05-28

Telemedicine applications have recently received substantial potential and interest, especially after the COVID-19 pandemic. Remote experience will help people get their complex surgery done or transfer knowledge to local surgeons, without need travel abroad. Even with breakthrough improvements in internet speeds, delay video streaming is still a hurdle telemedicine applications. This imposes using image compression region of interest (ROI) techniques reduce data size transmission needs....

10.48550/arxiv.2310.05099 preprint EN cc-by arXiv (Cornell University) 2023-01-01

The supercapacitor is a promising system for the future generation of energy storage devices instead batteries due to their high-power density and long cycle life. This work focused on design reduced graphene oxide/hexagonal boron nitride (rGO/h-BN) as electrode materials applications. rGO/h-BN composites were prepared via hydrothermal route investigated in symmetric applications material. Interestingly, composite with 50:50 showed good capacity when compared remaining composites. Similarly,...

10.2139/ssrn.4017489 article EN SSRN Electronic Journal 2022-01-01
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