activity
20112026
most citedHuman Gait State Prediction Using Cellular Automata and Classification Using ELM

87 citations · 161 across the 8 of their papers we have counts for

collaborators

10 papers

cs.RO2026

A Survey on Sensor-based Planning and Control for Unmanned Underwater Vehicles

Shivam Vishwakarma, Tejal Bedmutha, Dharmendra Kumar Patel +2

This survey examines recent sensor-based planning and control methods for Unmanned Underwater Vehicles (UUVs). In complex, uncertain underwater environments, UUVs require advanced…

cs.LG2025

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library

Satyam Mishra, Phung Thao Vi, Shivam Mishra +3

We introduce SafeRL-Lite, an open-source Python library for building reinforcement learning (RL) agents that are both constrained and explainable. Existing RL toolkits often lack n…

cs.RO2021★ 87 cited

Human Gait State Prediction Using Cellular Automata and Classification Using ELM

Vijay Bhaskar Semwal, Neha Gaud, G. C. Nandi

In this research article, we have reported periodic cellular automata rules for different gait state prediction and classification of the gait data using extreme machine Leaning (E…

cs.RO2017★ 21 cited

Data Driven Computational Model for Bipedal Walking and Push Recovery

Vijay Bhaskar Semwal

In this research, we have developed the data driven computational walking model to overcome the problem with traditional kinematics based model. Our model is adaptable and can adju…

cs.CV2014

Analysis of Gait Pattern to Recognize the Human Activities

Jay Prakash Gupta, Pushkar Dixit, Nishant Singh +1

Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such…

cs.IR2014★ 37 cited

Machine learning approach for text and document mining

Vishwanath Bijalwan, Pinki Kumari, Jordan Pascual +1

Text Categorization (TC), also known as Text Classification, is the task of automatically classifying a set of text documents into different categories from a predefined set. If a…