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Green consumers purchase intentions and sustainable consumption of organic food products: a conceptual framework for the Indian middle-class market

Assessment of ChatGPT Adoption in Remote Emerging Market Locations: Application of a Comprehensive Technology Adoption Model

Demystifying green Innovation: Past, present, and future research pathways guided by SDG mapping

Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot

Project Title: Development of a Hybrid Inverted Pendulum on wheels and Hopper based Dual Locomotion Assistive Robot The project indents to develop hybrid inverted pendulum on wheels and legged hopping robot configuration to efficiently transit through uneven and irregular terrains. The project is sanctioned by Science and Engineering Research Board, Department of Science and Technology under Core Research Grant scheme - Rs.35,80,000/- The

Machine Learning: An Expert Thinking System

Advanced Mathematical Foundation

Kumar Rajagopalan

Vice President, Strategic Initiatives and Country Head, Dexian India  Talk Title:Human and BOTs Engagement for a Sustainable Environment  Mr. Kumar Rajagopalan  Kumar Rajagopalan exemplifies transformative leadership in his role as Vice President of Strategic Initiatives and Country Head at Dexian. With over 30 years of industry experience, Kumar has propelled Dexian into a global growth powerhouse, redefining th

Likha O. V.

Likha O. V. is currently serving as an Assistant Professor on Contract in the Department of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore Campus. She is an academic and industry professional with experience spanning both teaching and the IT sector. She completed her B.Tech in Computer Science and Engineering from the University of Calicut and M.Tech in Computational Engineering and Networking from Amrita Vishwa Vidyapeetham. C

Immunotherapeutics in Infectious Disease

Leveraging Deep Learning Models for Machine-Generated Text Detection Using Transformer-Based Models

Optimized Deep Learning Model for Water Quality Prediction

Application of Transformer-Based Deep Learning Models for Predicting the Suitability of Water for Agricultural Purposes