Get started
Author

Shubham Shukla

Observed name: Prof. Shubham Shukla
ORCID: 0000-0002-8148-1744
Observed ORCID: 0000-0002-8148-1744
OpenAlex ID: A5072297285
Automatic Detection of Atrial Fibrillation from ECG Signal Using Hybrid Deep Learning Techniques
2022 · Saroj Kumar Pandey, Gaurav Kumar, et al. · Journal of Sensors · 9
PDF
Dynamic multi-robot coverage framework via A*-optimized region patrolling and localized re-planning
2026 · Harish Sharma, Ritu Tiwari, et al. · International Journal of Advanced Robotic Systems · 1
Path planning for mobile robots with waypoint management using a hybrid nature inspired optimization algorithm
2025 · Subhash Yadav, Shubham Shukla, et al. · Cluster Computing · 1
Analysis of Coronary Artery Disease Using Various Machine Learning Techniques
2022 · Saroj Kumar Pandey, Rekh Ram Janghel, et al. · CRC Press eBooks · 1
Path Planning Robot Using PI-CAM
2022 · Ankit Srivastava, Prabhat Singh, et al. · International Journal for Research in Applied Science and Engineering Technology · 1
PDF
Recent advances and emerging trends in smart parking technologies from sensor based to next generation parking system: a review
2026 · Arif Shaikh Farid, Shubham Shukla · International Journal of Reconfigurable and Embedded Systems (IJRES)
PDF
Energy-efficient multi-robot coverage path planning with workload balancing and turn minimization
2026 · Harish Sharma, Ritu Tiwari, et al. · International Journal of Intelligent Robotics and Applications
Adaptive path planning in complex environments for mobile robots via fusion of reinforcement learning and hybrid swarm intelligence
2026 · Subhash Yadav, Shubham Shukla, et al. · Intelligent Service Robotics
Transformer-enhanced deep Q-Learning for adaptive robot path planning in dynamic environments
2026 · Harish Sharma, Ritu Tiwari, et al. · Cluster Computing
PDF
Review on multi-robot path planning in complex industrial dynamic environment using improved nature inspired techniques
2024 · Subhash Yadav, Shubham Shukla, et al. · CRC Press eBooks
Works count: 10
Citation count: 13
H-index: 1
I10-index:
Year
Topic
Type