Vijay Bhaskar Semwal
Vijay Bhaskar Semwal
Assistant Professor, Computer Science, Maulana Azad National Institute of Technology Bhopal, MANIT
Verified email at - Homepage
Cited by
Cited by
Machine learning approach for text and document mining
V Bijalwan, P Kumari, J Pascual, VB Semwal
arXiv preprint arXiv:1406.1580, 2014
Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach
VB Semwal, K Mondal, GC Nandi
Neural Computing and Applications 28 (3), 565-574, 2017
An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification
VB Semwal, J Singha, PK Sharma, A Chauhan, B Behera
Multimedia tools and applications 76 (22), 24457-24475, 2017
Biometric gait identification based on a multilayer perceptron
VB Semwal, M Raj, GC Nandi
Robotics and Autonomous Systems 65, 65-75, 2015
Real time face recognition using adaboost improved fast PCA algorithm
KS Kumar, VB Semwal, RC Tripathi
arXiv preprint arXiv:1108.1353, 2011
Multi-input CNN-GRU based human activity recognition using wearable sensors
N Dua, SN Singh, VB Semwal
Computing 103 (7), 1461-1478, 2021
Human activity recognition using gait pattern
JP Gupta, N Singh, P Dixit, VB Semwal, SR Dubey
International Journal of Computer Vision and Image Processing (IJCVIP) 3 (3 …, 2013
Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery
VB Semwal, P Chakraborty, GC Nandi
Robotics and Autonomous Systems 63, 122-135, 2015
Human gait state prediction using cellular automata and classification using ELM
VB Semwal, N Gaud, GC Nandi
Machine intelligence and signal analysis, 135-145, 2019
Advanced automated module for smart and secure city
VK Solanki, S Katiyar, V BhashkarSemwal, P Dewan, M Venkatasen, ...
Procedia Computer Science 78, 367-374, 2016
Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata
VB Semwal, SA Katiyar, R Chakraborty, GC Nandi
Robotics and Autonomous Systems 70, 181-190, 2015
Generation of joint trajectories using hybrid automate-based model: a rocking block-based approach
VB Semwal, GC Nandi
IEEE Sensors Journal 16 (14), 5805-5816, 2016
Toward developing a computational model for bipedal push recovery–a brief
VB Semwal, GC Nandi
IEEE Sensors Journal 15 (4), 2021-2022, 2015
Study of humanoid push recovery based on experiments
VB Semwal, A Bhushan, GC Nandi
2013 International Conference on Control, Automation, Robotics and Embedded …, 2013
Design of vector field for different subphases of gait and regeneration of gait pattern
VB Semwal, C Kumar, PK Mishra, GC Nandi
IEEE Transactions on Automation Science and Engineering 15 (1), 104-110, 2016
Analysis of gait pattern to recognize the human activities
JP Gupta, D Polytool, N Singh, VB Semwal
IJIMAI 2 (7), 7-16, 2014
Biped model based on human Gait pattern parameters for sagittal plane movement
VB Semwal, SA Katiyar, P Chakraborty, GC Nandi
2013 International Conference on Control, Automation, Robotics and Embedded …, 2013
Clinical human gait classification: extreme learning machine approach
P Patil, KS Kumar, N Gaud, VB Semwal
2019 1st international conference on advances in science, engineering and …, 2019
Modeling bipedal locomotion trajectories using hybrid automata
GC Nandi, VB Semwal, M Raj, A Jindal
2016 IEEE region 10 conference (TENCON), 1013-1018, 2016
Fusion of multi-sensor-based biomechanical gait analysis using vision and wearable sensor
V Bijalwan, VB Semwal, TK Mandal
IEEE Sensors Journal 21 (13), 14213-14220, 2021
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