Publications

Discover the cutting-edge insights and innovations from Abhira through our publications. Explore our research and thought leadership in the fields of artificial intelligence, healthcare, technology, and more, as we continue to push the boundaries of knowledge and innovation.

Conference Proceedings

2024

ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction
An innovative approach to detect diseases in plant leaves using Vision Transformers accomplishing 90%+ accuracy.
Won Best Paper Award at the Conference.
Presented at CML , MIT Manipal , Sikhim.

2024

Calorie Burn Estimation in Community Parks Through DLICP: A Mathematical Modelling Approach
An innovative approach to Estimate calorie expenditure for walking activities in community parks.
Presented at Intellisys , Amsterdam , Netherlands.

2023

Enhancing Intrusion Detection on Internet of Vehicles using FL
Won Best Paper Award
An innovative approach to detect intrusions in IOV’s using federated learning accomplishing 95%+ accuracy.
Presented at ICRTDA 2023 , SRM Kattangalathur.

2023

BLE based Access Control Using Pathloss Model and MLP
Won Best Paper Award
Unique in the BLE domain, this work focuses on access control with high precision distance calculation,achieving over 90%+ accuracy.
Presented at ViTeCoN 2023 , Vellore Institute Of Technology , Vellore.

2023

Design of Shark Detection and Decoy Buoys
A groundbreaking study introduces the design of Shark Detection and Decoy Buoys, among the earliest in the field.
It effectively detects 14+ shark species and introduces a novel decoy system to save swimmers.
Presented at IDCIoT 2023 , Reva University , Bangalore.

2022

Design of Rubble Analyzer Probe using ML
Earthquake Rubble Analyzer Probe employs advanced machine learning to detect signs of life, providing real-time data to enhance survival assessments within rubble-stricken environments.
Presented at RIACT 2022 , VIT Chennai.

2022

IoT Based Epilepsy Patient Monitoring System to analyze various medical parameter(s)
Our system, powered by ESP8266 NodeMCU, monitors multiple medical parameters, including epilepsy seizures, IV fluid levels, pulse, and body temperature, ensuring precise real-time analysis for enhanced patient care
Presented at RIACT 2022 , VIT Chennai.