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Recommendation learning management system for autism using deep convolutional neural networks and gene expression programming

Lightweight Convolutional Neural Network based Resource-Aware Energy-Efficient Detector within Edge–Fog-enabled Industrial IoT systems

Fun Events

ANUBISANUBIS is an interactive STEM challenge designed to test problem-solving, logical reasoning, creativity, memory, observation, and teamwork. Teams compete across three themed stations featuring puzzles, matching challenges, and a timed STEM puzzle, with each station offering a maximum of 50 points. Station 1Logic & Puzzle Zone Teams solve a variety of brain teasers, riddles, Sudoku, crosswords, and STEM-themed word searches.

Dr. Gayathri Parasa

Dr. Gayathri Parasa is an Assistant Professor (Sr. Gr) in the Department of Computer Science and Engineering, School of Computing Amaravati. She received her Ph.D. from Annamalai University. She has over a decade of teaching and research experience. Her research interests include Artificial Intelligence (AI) with expertise in Machine Learning and Deep Learning, Data and Text Mining, Image Processing, Computer Vision, Computer Networks and Medica

Assistant /AssociateProfessor for Robotics Courses and Research in Deptartment of Mechanical Engineering @ Bengaluru

Applications are invited from qualified candidates for the post of  Assistant /AssociateProfessor for Robotics Courses and Research in Deptartment of Mechanical Engineering at Amrita Vishwa Vidyapeetham Bengaluru Campus. For More details contact :rg_chittawadigi@blr.amrita.edu Apply Now

University of Milan Delegation Visits Amrita to Explore Research Collaboration

A delegation from the University of Milan, Italy, comprising Professor Giovanni Naldi and Professor Giacomo Aletti, visited Amrita Vishwa Vidyapeetham and Amrita Hospital to engage in academic discussions, research interactions, and explore opportunities for future collaboration. The delegation was welcomed by faculty members and representatives from Amrita. The discussions focused on ongoing research initiatives, interdisciplinary projects, a

Eyeclass: Feature engineering for eye movements in assessing student’s cognitive ability

Hybrid deep learning and machine learning framework for automated pneumonia detection in chest X-ray images

Predicting Severity of Flood Damage: A Smart Approach to Disaster Management

Revolutionizing Entrepreneurial Work Ethics in Mysuru District: A Breakthrough Study on Karmic Beliefs using Artificial Intelligence

Research Labs

Research Labs

AGXLG: Enhancing Hypothyroidism Prediction with Recursive Feature Elimination and Boosting Techniques