14 citations · 17 across the 8 of their papers we have counts for
8 papers
Application of Graph Based Vision Transformers Architectures for Accurate Temperature Prediction in Fiber Specklegram Sensors
Abhishek Sebastian
Fiber Specklegram Sensors (FSS) are highly effective for environmental monitoring, particularly for detecting temperature variations. However, the nonlinear nature of specklegram d…
Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions
Abhishek Sebastian
Soft robotics has emerged as a transformative technology in Search and Rescue (SAR) operations, addressing challenges in navigating complex, hazardous environments that often limit…
Prion-ViT: Prions-Inspired Vision Transformers for Temperature prediction with Specklegrams
Abhishek Sebastian, Pragna R, Sonaa Rajagopal +1
Fiber Specklegram Sensors (FSS) are vital for environmental monitoring due to their high temperature sensitivity, but their complex data poses challenges for predictive models. Thi…
Calorie Burn Estimation in Community Parks Through DLICP: A Mathematical Modelling Approach
Abhishek Sebastian, Annis Fathima A, Pragna R +2
Community parks play a crucial role in promoting physical activity and overall well-being. This study introduces DLICP (Deep Learning Integrated Community Parks), an innovative app…
Enhanced Hydrogen Evolution Activity of MOS-rGO Composite Synthesized via Hydrothermal Technique
Abhishek Sebastian, Pragna R
Hydrogen evolution reaction (HER) has emerged as a promising technique for the production of clean and sustainable energy. In recent years, researchers have been exploring various…
ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction
Abhishek Sebastian, Annis Fathima A, Pragna R +3
Our paper introduces a robust framework for the automated identification of diseases in plant leaf images. The framework incorporates several key stages to enhance disease recognit…
Design Of Rubble Analyzer Probe Using ML For Earthquake
Abhishek Sebastian, R Pragna, K Vishal Vythianathan +4
The earthquake rubble analyzer uses machine learning to detect human presence via ambient sounds, achieving 97.45% accuracy. It also provides real-time environmental data, aiding i…
A Technique for Classifying Static Gestures Using UWB Radar
Abhishek Sebastian, Pragna R
Our paper presents a robust framework for UWB-based static gesture recognition, leveraging proprietary UWB radar sensor technology. Extensive data collection efforts were undertake…