Multi-agent motion planning for dense and dynamic environments via deep reinforcement learning SH Semnani, H Liu, M Everett, A De Ruiter, JP How IEEE Robotics and Automation Letters 5 (2), 3221-3226, 2020 | 139 | 2020 |
Semi-flocking algorithm for motion control of mobile sensors in large-scale surveillance systems SH Semnani, OA Basir IEEE transactions on cybernetics 45 (1), 129-137, 2014 | 105 | 2014 |
Force-based algorithm for motion planning of large agent SH Semnani, AHJ de Ruiter, HHT Liu IEEE Transactions on Cybernetics 52 (1), 654-665, 2020 | 31 | 2020 |
Target to sensor allocation: A hierarchical dynamic Distributed Constraint Optimization approach SH Semnani, OA Basir Computer Communications 36 (9), 1024-1038, 2013 | 16 | 2013 |
Job satisfaction and stress levels of nurses working in oncology wards; a multicenter study S Haghpanah, S Zareifar, Z Beigipour, S Hosseini, MA Molavi, M Naderi Galen Medical Journal 6 (2), e722-e722, 2017 | 14 | 2017 |
The power of ants in solving distributed constraint satisfaction problems SH Semnani, K Zamanifar Applied Soft Computing 12 (2), 640-651, 2012 | 10 | 2012 |
Determining the relationship between mental image of store, distance dimension, customer satisfaction and behavioral intentions of buyers H Javanmard, S Hosseini Journal of Marketing Management 20, 85-101, 2013 | 7 | 2013 |
Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding MR Naderi Boldaji, S Hosseini Semnani Multimedia Tools and Applications 81 (21), 30647-30661, 2022 | 6 | 2022 |
Force-based algorithm for motion planning of large agent teams SH Semnani, A de Ruiter, H Liu arXiv preprint arXiv:1909.05415, 2019 | 5 | 2019 |
Multi-target engagement in complex mobile surveillance sensor networks SH Semnani, OA Basir Unmanned Systems 5 (01), 31-43, 2017 | 4 | 2017 |
Constrained clustering for flocking-based tracking in maneuvering target environment SH Semnani, OA Basir, P Van Beek Robotics and Autonomous Systems 83, 243-250, 2016 | 4 | 2016 |
Distributed target engagement in large-scale mobile sensor networks S Hosseini Semnani University of Waterloo, 2015 | 3 | 2015 |
New Heuristic in Ant Colony Optimization to Solve Job Scheduling Problem in Grid SH Semnani, K Zamanifar, N Nematbakhsh Dept. of Computer Science, University of Isfahan, Isfahan, Iran, 2009 | 3 | 2009 |
Distributed swarm collision avoidance based on angular calculations SZ Qazavi, SH Semnani Autonomous Robots 47 (4), 425-434, 2023 | 2 | 2023 |
New approach to multi-level processor scheduling SH Semnani, K Zamanifar International Journal on Artificial Intelligence Tools 19 (03), 335-346, 2010 | 2 | 2010 |
MaxCAPO: A new expansion of APO to solve distributed constraint satisfaction problems SH Semnani, K Zamanifar Proceedings of the International Conference on Artificial Intelligence and …, 2007 | 2 | 2007 |
USING A CONFLICT-BASED METHOD TO SOLVE DISTRIBUTED CONSTRAINT SATISFACTION PROBLEMS. SH SEMNANI, K ZAMANIFAR Journal of Theoretical & Applied Information Technology 5 (4), 2009 | 1 | 2009 |
The impact of the conflict on solving distributed constraint satisfaction problems S Hosseini, K Zamanifar Computing and Informatics 28 (5), 673–693-673–693, 2009 | 1 | 2009 |
Improving Indoor Localization Using Mobile UWB Sensor and Deep Reinforcement Learning L Nosrati, S hoseini Semnani, MS Fazel, S Rakhshani, M Ghavami IEEE Sensors Journal, 2024 | | 2024 |
Temporary Goal Method: A Solution for the Problem of Getting Stuck in Motion Planning Algorithms DKM Zade, SH Semnani 2024 32nd International Conference on Electrical Engineering (ICEE), 1-5, 2024 | | 2024 |