| Machine learning approach for text and document mining V Bijalwan, P Kumari, J Pascual, VB Semwal arXiv preprint arXiv:1406.1580, 2014 | 315* | 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 | 137 | 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 | 104 | 2017 |
| Biometric gait identification based on a multilayer perceptron VB Semwal, M Raj, GC Nandi Robotics and Autonomous Systems 65, 65-75, 2015 | 103 | 2015 |
| Real time face recognition using adaboost improved fast PCA algorithm KS Kumar, VB Semwal, RC Tripathi arXiv preprint arXiv:1108.1353, 2011 | 80 | 2011 |
| Multi-input CNN-GRU based human activity recognition using wearable sensors N Dua, SN Singh, VB Semwal Computing 103 (7), 1461-1478, 2021 | 70 | 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 | 70 | 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 | 68 | 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 | 61 | 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 | 60 | 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 | 58 | 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 | 51 | 2016 |
| Toward developing a computational model for bipedal push recovery–a brief VB Semwal, GC Nandi IEEE Sensors Journal 15 (4), 2021-2022, 2015 | 48 | 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 | 47* | 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 | 46 | 2016 |
| Analysis of gait pattern to recognize the human activities JP Gupta, D Polytool, N Singh, VB Semwal IJIMAI 2 (7), 7-16, 2014 | 45 | 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 | 42 | 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 | 41 | 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 | 35 | 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 | 32 | 2021 |
G C NandiProfessor, Head of the Center of Intelligent Robotics and Advisor(QAA), IIIT-AVerified email at iiita.ac.in
