Ramesh Chandra Poonia

Ramesh Chandra Poonia is an Associate Professor at the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. Recently completed his Postdoctoral Fellowship from CPS Lab, Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Ålesund, Norway. He received his Ph.D. degree in Computer Science from Banasthali University, Banasthali, India in July 2013. His research interests are Sustainable Technologies, Cyber-Physical Systems, Path Planning & Collision Avoidance in Artificial Intelligence and Intelligent Algorithms for Autonomous Systems.

Publications

Neuroscientific Insights and Therapeutic Approaches to Eating Disorders
Neuroscientific Insights and Therapeutic Approaches to Eating Disorders
Jyoti Kukreja, Veena Tewari, Geetha M., Ramesh Chandra Poonia, Rahul R. Verma. © 2024. 467 pages.
In the complex landscape of binge eating disorders, a pervasive and intricate challenge unfolds. Binge eating, characterized by Binge eating disorders, is a difficult challenge...
A Deep Learning Model for Identifying and Analyzing Eating Disorder-Related Communication on Social Media
A Deep Learning Model for Identifying and Analyzing Eating Disorder-Related Communication on Social Media
P. Prabu, Ramesh Chandra Poonia. © 2024. 12 pages.
This research introduces a novel deep learning model to identify individuals at risk of eating disorders (ED) through social media data, particularly on Twitter. Using...
Revolutionizing Eating Disorder Treatment: A Novel Deep Learning Model Integrating Advanced AI for Precision and Adaptability
Revolutionizing Eating Disorder Treatment: A Novel Deep Learning Model Integrating Advanced AI for Precision and Adaptability
P. Prabu, Ramesh Chandra Poonia, Prakash P., Kirubanand V. B., Senthilnathan T., Shiju Sebastian. © 2024. 12 pages.
This chapter proposes a deep learning model aimed at transforming the treatment landscape for eating disorders (EDs). By integrating insights from advanced artificial...
Content-Based Music Recommendation Using Non-Stationary Bayesian Reinforcement Learning
Content-Based Music Recommendation Using Non-Stationary Bayesian Reinforcement Learning
Brijgopal Bharadwaj, Ramani Selvanambi, Marimuthu Karuppiah, Ramesh Chandra Poonia. © 2022. 18 pages.
This paper presents a music recommendation system for the offline libraries of songs that employs the concepts of reinforcement learning to obtain satisfactory recommendations...
Predictive Analysis of Diabetes Using Machine Learning Algorithms
Predictive Analysis of Diabetes Using Machine Learning Algorithms
Nijatullah Mansoor, Ramesh Chandra Poonia, Debabrata Samanta. © 2022. 15 pages.
Diabetes is a very harmful disease that causes high blood sugar levels and occurs when the blood glucose level is high. Diabetes causes numerous diseases in humans: congestive...
Face Recognition System for Medical Information Modeling Using Machine Learning
Face Recognition System for Medical Information Modeling Using Machine Learning
Ramesh Chandra Poonia, Linesh Raja, Ankit Kumar, Vaibhav Bhatnagar. © 2022. 21 pages.
Face-recognition systems must be capable of identifying patient faces in an uncontrollable situation. Facial detection is a distinct problem from facial recognition in that it...
Internet of Things: A Conceptual Visualisation
Internet of Things: A Conceptual Visualisation
Vaibhav Bhatnagar, Ramesh Chandra. © 2021. 32 pages.
Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and...
Redundancy Management and Host Intrusion Detection in WSN
Redundancy Management and Host Intrusion Detection in WSN
Vijander Singh, Ramesh C. Poonia, Linesh Raja, Gourav Sharma, Narendra Kumar Trivedi, Gaurav Narayan Mathur. © 2020. 15 pages.
Intrusion detection system (IDS) is a software application that gives the facility to monitor the traffic of network, event, or activities on networks and finds if any malicious...
Tier Application in Multi-Cloud Databases to Improve Security and Service Availability
Tier Application in Multi-Cloud Databases to Improve Security and Service Availability
Shaurya Gupta, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja. © 2019. 12 pages.
The need for data outsourcing or database as a service (DaaS) is extremely important for any organization. In addition, data storage or data retrieval cost high especially for...
State of the Art and Gap Analysis of Precision Agriculture: A Case Study of Indian Farmers
State of the Art and Gap Analysis of Precision Agriculture: A Case Study of Indian Farmers
Vaibhav Bhatnagar, Ramesh C. Poonia, Surendra Sunda. © 2019. 21 pages.
Precision Agriculture (PA) is now becoming the base for rapid development of a nation. So many technologies are used in precision agriculture such as Global Positioning System...