Shahriar  Shakir Sumit
Shahriar Shakir Sumit
Other namesMS Shakir Sumit, SS Sumit
Research Scholar, The University of New South Wales, Australia.
Verified email at - Homepage
Cited by
Cited by
In object detection deep learning methods, YOLO shows supremum to Mask R-CNN
SS Sumit, J Watada, A Roy, DRA Rambli
Journal of Physics: Conference Series 1529 (4), 042086, 2020
Vision-based human detection techniques: a descriptive review
SS Sumit, DRA Rambli, S Mirjalili
IEEE Access 9, 42724-42761, 2021
Restinet: On improving the performance of tiny-yolo-based cnn architecture for applications in human detection
SS Sumit, DR Awang Rambli, S Mirjalili, MM Ejaz, MSU Miah
Applied Sciences 12 (18), 9331, 2022
Imputing missing values: reinforcement bayesian regression and random forest
SS Sumit, J Watada, F Nasrin, NI Ahmed, DRA Rambli
Soft Computing for Biomedical Applications and Related Topics, 81-88, 2021
ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
SS Sumit, DRA Rambli, S Mirjalili, MSU Miah, MM Ejaz
MethodsX 10, 101936, 2023
KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification
SS Sumit, S Anavatti, M Tahtali, S Mirjalili, U Turhan
Asian Conference on Intelligent Information and Database Systems, 15-27, 2024
An AI-based solution for the cold start and data sparsity problems in the recommendation systems
SS Sumit
arXiv preprint arXiv:2312.01840, 2023
Restinet: A Lightweight CNN For Designing An Efficient Human Detection System
MS Shakir Sumit
Universiti Teknologi PETRONAS, 2022
The system can't perform the operation now. Try again later.
Articles 1–8