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E-raamat: Innovations in Intelligent Computing and Communication: First International Conference, ICIICC 2022, Bhubaneswar, Odisha, India, December 16-17, 2022, Proceedings

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This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022.





The 31 full papers presented were thoroughly reviewed and selected from 78 submissions. They are divided in three tracks with the following topics: Intelligent Computing; Communications; and Machine Learning and Data Analytics.
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.