Track-1: Intelligent Computing.- Ensemble Learning Model for EEG based Emotion Classification.- Foundation for the Future of Higher Education or ‘Misplaced Optimism’? Being Human in the Age of Artificial Intelligence.- AI Enabled Internet of Medical Things Framework for Smart Healthcare.- Metaverse and Posthuman Animated Avatars for Teaching-Learning Process: Interperception in Virtual Universe for Educational Transformation.- Tuning Functional Link Artificial Neural Network for Software Development Effort Estimation.- METBAG – A Web Based Business Application.- Designing Smart Voice Command Interface For Geographic Information System.- Smart Garbage Classification.- Optical Sensor Based on MicroSphere Coated with Agarose For Heavy Metal Ion Detection.- Influential Factor Finding for Engineering Student Motivation.- Prediction Of Software Reliability Using Particle Swarm Optimization.- An Effective Optimization of EMG based Artificial Prosthetic Limbs.- Track-2: Communications.- Performance Analysis of Fading channels in a Wireless Communication.- Fuzzy Logic Based Power Conscious Clustering Algorithm in Wireless Sensor Networks.- Cryptanalysis on ’An Improved RFID-based Authentication Protocol for Rail Transit’.- A Novel Approach to Detect Rank Attack in IoT Ecosystem.- Energy Efficient Adaptive Mobile Wireless Sensor Network in Smart Monitoring Applications.- Orthogonal Chirp Division Multiplexing : An Emerging Multi Carrier Modulation Scheme.- Track-3: Machine Learning and Data Analytics.- COVID-19 Outbreak Estimation Approach using Hybrid Time Series Modelling.- Analysis of Depression, Anxiety, and Stress Chaos Among Children and Adolescents Using Machine Learning Algorithms.- Sentiment Analysis from Student Feedbacks using Supervised Machine Learning Approaches.- Machine Learning Algorithms For Diabetes Prediction.- CRODNM: chemical reaction optimization of dendritic neuron models for forecasting net asset values of mutual funds.- Machine Learning Approaches and Particle Swarm Optimization Based Clustering for the Human monkeypox viruses: A Study.- Machine Learning-based Hybrid Feature Selection for Improvised Network Intrusion Detection.- Application of Efficient Feature Selection and Machine Learning Algorithms in Mental Health Disorder Identification.- A Survey on Sentimental Analysis in LMS using NLP and Text Mining.- Rice Yield Estimation using Deep Learning.- Sentiment Analysis on Movie Review Data using Ensemble Machine Learning Approaches.- Comparative analysis of COVID 19 detection from cough speech using Machine Learning classifiers.- Classification of High Resolution Satellite Image with Content Based Image Retrieval and Local Binary Pattern.

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