2 citations · 2 across the 3 of their papers we have counts for
4 papers
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data
Seemandhar Jain, Prarthi Jain, Abhishek Srivastava
Anomaly detection is critical in various fields, including intrusion detection, health monitoring, fault diagnosis, and sensor network event detection. The isolation forest (or iFo…
An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks
Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay +2
Wireless Body Area Networks (WBANs) comprise a network of sensors subcutaneously implanted or placed near the body surface and facilitate continuous monitoring of health parameters…
Cube Sampled K-Prototype Clustering for Featured Data
Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja +2
Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling thi…
Digital Contact Tracing for Covid 19
Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre
The COVID19 pandemic created a worldwide emergency as it is estimated that such a large number of infections are due to human-to-human transmission of the COVID19. As a necessity,…