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Salman Md Sultan
Founder, CEO, Innovative Skills BD · Computer Science and Engineering (CSE)
View Google Scholar
Current Affiliation
University
Founder, CEO, Innovative Skills BD
Department
Computer Science and Engineering (CSE)
Research Areas
Deep Reinforcement Learning
IoT
Edge
Computing
UAV
Publications (15)
2023
Deep-reinforcement-learning-based IoT sensor data cleaning framework for enhanced data analytics
MDPI
2021
Energy conservation for internet of things tracking applications using deep reinforcement learning
Sensors
2021
A study on deep reinforcement learning based traffic signal control for mitigating traffic congestion
IEEE
2022
Powering UAV with deep Q-network for air quality tracking
MDPI
2025
A hybrid convolutional neural network–long short-term memory (CNN–LSTM)–attention model architecture for precise medical image analysis and disease diagnosis
MDPI
2024
Collaborative Beamforming with DQN for Interference Mitigation in 5G and Beyond Networks
Telecom
2026
Explainable AI framework for improved Thalassemia mental health classification and feature selection
PLoS One
2023
Automated cell counting system using improved implicit activation based U-Net (IA-U-Net)
2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
2023
3-Lane Based Traffic Signal Control Using Sequential-Duel Deep Q-Network (SD-DQN)
2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
2026
MedSpectralNet: A lightweight convolutional neural network architecture for multi-modal image classification
PLoS One
2026
DroneDeep RL (DDR): A Traffic Congestion Control Strategy Using Prioritization LLM Agent and Circular Deep Q-Network
Engineering Proceedings
2021
JCC
2021
A Supervised Approach to Monitoring Social Distancing From CCTV
The Journal of Contents Computing
2021
Towards Mitigating Probable Road Mishaps through DQN Based Deep Reinforcement Learning
2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
Powering UAV with Deep Q-Network for Air Quality Tracking
Sensors
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