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Vijay Bhaskar Semwal
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Year
Multi-input CNN-GRU based human activity recognition using wearable sensors
N Dua, SN Singh, VB Semwal
Computing 103 (7), 1461-1478, 2021
2872021
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
SK Challa, A Kumar, VB Semwal
The Visual Computer 38 (12), 4095-4109, 2022
2062022
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, 565-574, 2017
1572017
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
VB Semwal, N Gaud, P Lalwani, V Bijalwan, AK Alok
Artificial Intelligence Review 55 (2), 1149-1169, 2022
1302022
Biometric gait identification based on a multilayer perceptron
VB Semwal, M Raj, GC Nandi
Robotics and Autonomous Systems 65, 65-75, 2015
1212015
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, 24457-24475, 2017
1192017
An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition
VB Semwal, A Gupta, P Lalwani
The Journal of Supercomputing 77 (11), 12256-12279, 2021
1012021
Real time face recognition using adaboost improved fast PCA algorithm
KS Kumar, VB Semwal, RC Tripathi
arXiv preprint arXiv:1108.1353, 2011
922011
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
912019
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
902021
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
782013
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors
R Jain, VB Semwal, P Kaushik
Expert System, 2021
772021
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
762019
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
762015
Inception inspired CNN-GRU hybrid network for human activity recognition
N Dua, SN Singh, VB Semwal, SK Challa
Multimedia Tools and Applications 82 (4), 5369-5403, 2023
712023
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
682015
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
672016
Wearable sensor-based pattern mining for human activity recognition: Deep learning approach
V Bijalwan, VB Semwal, V Gupta
Industrial Robot: the international journal of robotics research and …, 2022
652022
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
622016
Toward developing a computational model for bipedal push recovery–a brief
VB Semwal, GC Nandi
IEEE Sensors Journal 15 (4), 2021-2022, 2015
612015
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