Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data - Vijay Bhaskar Semwal; K. Susheel Kumar 002; Vinay S. Bhaskar; Meenakshi Sati (CoRR, 2011)

Real time face recognition using adaboost improved fast PCA algorithm - K. Susheel Kumar 002; Vijay Bhaskar Semwal; Ramesh Chandra Tripathi (CoRR, 2011)

Accurate location estimation of moving object In Wireless Sensor network. - Vijay Bhaskar Semwal; Vinay Bhaskar Semwal; Meenakshi Sati; Shirshu Verma (Int. J. Interact. Multim. Artif. Intell., 2011)

Human Activity Recognition Using Gait Pattern. - Jay Prakash Gupta; Nishant Singh; Pushkar Dixit; Vijay Bhaskar Semwal; Shiv Ram Dubey (Int. J. Comput. Vis. Image Process., 2013)

Machine learning approach for text and document mining. - Vishwanath Bijalwan; Pinki Kumari; Jordán Pascual Espada; Vijay Bhaskar Semwal (CoRR, 2014)

Bipedal Model Based on Human Gait Pattern Parameters Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement. - Vijay Bhaskar Semwal; Shiv A. Katiyar; Pavan Chakraborty; Gora Chand Nandi (CoRR, 2014)

Study of Humanoid Push Recovery Based on Experiments. - Vijay Bhaskar Semwal; Gora Chand Nandi (CoRR, 2014)

Analysis of Gait Pattern to Recognize the Human Activities. - Jay Prakash Gupta; Pushkar Dixit; Vijay Bhaskar Semwal (Int. J. Interact. Multim. Artif. Intell., 2014)

A Fault-Tolerant Mobile Computing Model Based On Scalable Replica. - Meenakshi Sati; Vivek Vikash; Vishwanath Bijalwan; Pinki Kumari; Manish Raj; Meenu Balodhi; Priya Gairola; Vijay Bhaskar Semwal (Int. J. Interact. Multim. Artif. Intell., 2014)

Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery. - Vijay Bhaskar Semwal; Pavan Chakraborty; Gora Chand Nandi (Robotics Auton. Syst., 2015)

Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata. - Vijay Bhaskar Semwal; Shiv A. Katiyar; Rupak Chakraborty; Gora Chand Nandi (Robotics Auton. Syst., 2015)

Biometric gait identification based on a multilayer perceptron. - Vijay Bhaskar Semwal; Manish Raj; Gora Chand Nandi (Robotics Auton. Syst., 2015)

Analysis of TCP streaming over VANETs. - John Anzola; Andrés Jiménez; Jordán Pascual Espada; Vijay Bhaskar Semwal; Vishwanath Bijalwan (RICE, 2017)

A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification). - Sachin Kumar 001; Vijay Bhaskar Semwal; Vijender Kumar Solanki; Prayag Tiwari; Denis Kalitin (RICE, 2017)

Bilrost: Connecting the Internet of Things through human Social Networks with a Domain-Specific Language. - Daniel Meana-Llorián; Cristian González García; Jordán Pascual Espada; Manju Khari; Vijay Bhaskar Semwal (RICE, 2017)

Data Driven Computational Model for Bipedal Walking and Push Recovery. - Vijay Bhaskar Semwal (CoRR, 2017)

An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification. - Vijay Bhaskar Semwal; Joyeeta Singha; Pinki Kumari; Arun Chauhan 002; Basudeba Behera (Multim. Tools Appl., 2017)

Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. - Vijay Bhaskar Semwal; Kaushik Mondal 002; Gora Chand Nandi (Neural Comput. Appl., 2017)

Erratum to: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. - Vijay Bhaskar Semwal; Kaushik Mondal 002; Gora Chand Nandi (Neural Comput. Appl., 2017)

Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach. - Manish Raj; Vijay Bhaskar Semwal; Gora Chand Nandi (Int. J. Interact. Multim. Artif. Intell., 2018)

Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach. - Manish Raj; Vijay Bhaskar Semwal; Gora Chand Nandi (Neural Comput. Appl., 2018)

Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern. - Vijay Bhaskar Semwal; Chandan Kumar; Piyush Kumar Mishra; Gora Chand Nandi (IEEE Trans Autom. Sci. Eng., 2018)

Multiobjective optimized bipedal locomotion. - Manish Raj; Vijay Bhaskar Semwal; Gora Chand Nandi (Int. J. Mach. Learn. Cybern., 2019)

Comparative Study of Inverse Kinematics Using Data Driven And FABRIK Approach. - Vijay Bhaskar Semwal; Meghana Reddy; Aditya Narad (AIR, 2021)

Performance Analysis of Data-Driven Techniques for Solving Inverse Kinematics Problems. - Vijay Bhaskar Semwal; Yash Gupta (IntelliSys (1), 2021)

Multi-input CNN-GRU based human activity recognition using wearable sensors. - Nidhi Dua; Shiva Nand Singh; Vijay Bhaskar Semwal (Computing, 2021)

An optimized feature selection using bio-geography optimization technique for human walking activities recognition. - Vijay Bhaskar Semwal; Praveen Lalwani; Manas Kumar Mishra; Vishwanath Bijalwan; Jasroop Singh Chadha (Computing, 2021)

Human Gait State Prediction Using Cellular Automata and Classification Using ELM. - Vijay Bhaskar Semwal; Neha Gaud; Gora Chand Nandi (CoRR, 2021)

An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition. - Vijay Bhaskar Semwal; Anjali Gupta; Praveen Lalwani (J. Supercomput., 2021)

Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor. - Vijay Bhaskar Semwal; Neha Gaud; Praveen Lalwani; Vishwanath Bijalwan; Abhay Kumar Alok (Artif. Intell. Rev., 2022)

Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition. - Vishwanath Bijalwan; Vijay Bhaskar Semwal; Ghanapriya Singh; Rubén González Crespo (Expert Syst. J. Knowl. Eng., 2022)

Deep ensemble learning approach for lower extremity activities recognition using wearable sensors. - Rahul Jain 016; Vijay Bhaskar Semwal; Praveen Kaushik (Expert Syst. J. Knowl. Eng., 2022)

Wearable sensor-based pattern mining for human activity recognition: deep learning approach. - Vishwanath Bijalwan; Vijay Bhaskar Semwal; Vishal Gupta (Ind. Robot, 2022)

Occluded Gait reconstruction in multi person Gait environment using different numerical methods. - Anjali Gupta; Vijay Bhaskar Semwal (Multim. Tools Appl., 2022)

Stride segmentation of inertial sensor data using statistical methods for different walking activities. - Rahul Jain 016; Vijay Bhaskar Semwal; Praveen Kaushik (Robotica, 2022)

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data. - Sravan Kumar Challa; Akhilesh Kumar; Vijay Bhaskar Semwal (Vis. Comput., 2022)

Human Action Recognition Using ConvBiLSTM-GRU In Indoor Environment. - Manoj Kumar Sain; Joyeeta Singha; Sandeep Saini; Vijay Bhaskar Semwal (GCAIoT, 2023)

Dynamic Balancing of Bipedal Robot on Inclined Terrain using Polynomial Trajectories. - Vijay Bhaskar Semwal; Pratibha Tokas; Maske Nilesh; Nilay Khare (ICGSP, 2023)

Inception inspired CNN-GRU hybrid network for human activity recognition. - Nidhi Dua; Shiva Nand Singh; Vijay Bhaskar Semwal; Sravan Kumar Challa (Multim. Tools Appl., 2023)

HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation. - Vishwanath Bijalwan; Vijay Bhaskar Semwal; Ghanapriya Singh; Tapan Kumar Mandal (Neural Process. Lett., 2023)

Gait reference trajectory generation at different walking speeds using LSTM and CNN. - Vijay Bhaskar Semwal; Rahul Jain 016; Pushkar Maheshwari; Saksham Khatwani (Multim. Tools Appl., 2023)

A Novel Algorithm for Optimal Trajectory Generation Using Q Learning. - Manoj Kumar; Devendra Kumar; Vijay Bhaskar Semwal (SN Comput. Sci., 2023)

Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning. - Vijay Bhaskar Semwal; Yogesh Kumar Prajapat; Rahul Jain 016 (SN Comput. Sci., 2023)

Human Activity Identification System for Video Database Using Deep Learning Technique. - Ram Kumar Yadav; Subhrendu Guha Neogi; Vijay Bhaskar Semwal (SN Comput. Sci., 2023)

An optimized deep learning model for human activity recognition using inertial measurement units. - Sravan Kumar Challa; Akhilesh Kumar; Vijay Bhaskar Semwal; Nidhi Dua (Expert Syst. J. Knowl. Eng., 2023)

CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection. - Vaibhav Soni; Himanshu Yadav; Sadhna Bijrothiya; Vijay Bhaskar Semwal (Biomed. Signal Process. Control., 2024)

Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling. - Anjali Gupta; Vijay Bhaskar Semwal (Multim. Tools Appl., 2024)

Deep ensemble learning approach for lower limb movement recognition from multichannel sEMG signals. - Pratibha Tokas; Vijay Bhaskar Semwal; Sweta Jain (Neural Comput. Appl., 2024)

Human motion activity recognition and pattern analysis using compressed deep neural networks. - Navita Kumari; Amulya Yadagani; Basudeba Behera; Vijay Bhaskar Semwal; Somya Mohanty (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms. - Abdul Manan Khan; Fatima Khan; Anshu Kumar Dwivedi; Vijay Bhaskar Semwal; Sheshikala Martha; Vishwanath Bijalwan (SN Comput. Sci., 2024)

Enhancing Human Activity Detection and Classification Using Fine Tuned Attention-Based Transformer Models. - Ram Kumar Yadav; A. Daniel; Vijay Bhaskar Semwal (SN Comput. Sci., 2024)

BioTransX: A novel bi-former based hybrid model with bi-level routing attention for brain tumor classification with explainable insights. - Reenu Rajpoot; Sweta Jain; Vijay Bhaskar Semwal (Comput. Biol. Medicine, 2025)

Quantitative Assessment of XAI Methods for COVID-19 Detection: A Comparative Approach. - Reenu Rajpoot; Sweta Jain; Vijay Bhaskar Semwal; Deepankar Singh (SN Comput. Sci., 2025)

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library. - Satyam Mishra; Phung Thao Vi; Shivam Mishra; Vishwanath Bijalwan; Vijay Bhaskar Semwal; Abdul Manan Khan (CoRR, 2025)

A smartphone-based human activities recognition using novel multi-stream movelets on fusion of accelerometer and gyroscope data and classification using different distance metrics. - Pratibha Tokas; Vijay Bhaskar Semwal; Sweta Jain (Multim. Tools Appl., 2025)