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Machine Intelligence and Emerging Technologies: First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II 1st ed. 2023 [Mīkstie vāki]

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The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. 

The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies.  It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Bio Signals and Recommendation Systems for Wellbeing: Diagnosis and
Classification of Fetal Health Based on CTG Data Using Machine Learning
Techniques.- Epileptic Seizure Prediction using Bandpass Filtering
and Convolutional Neural Network.- Autism Spectrum Disorder Detection from
EEG through Hjorth Parameters and Classification using Neural Network.- A
Review on Heart Diseases Prediction Using Artificial Intelligence.- Machine
Learning Models to Identify Discriminatory Factors of Diabetes
Subtypes.- Analysis of Hand Movement from Surface EMG Signals Using
Artificial Neural Network.- Design and implementation of a drowsiness
detection system up to extended head angle using FaceMesh machine learning
solution.- Fuzziness based Semi-supervised Deep Learning for Multimodal Image
Classification.- Human emotion recognition from facial images
using Convolutional Neural Network.- Emotion Recognition from Brain Wave
using Multitask Machine Learning Leveraging Residual Connections.- Emotion
Recognition from EEG Using Mutual Information based Feature Map and CNN.- A
Machine Learning-based System to Recommend Appropriate Military Training
Program for a Soldier.- Integrated Music Recommendation System
using Collaborative Content Based Filtering, and Sentiment Analysis.- A
Clustering Based Niching Method for Effectively Solving the 0-1 Knapsack
Problem.- Assorted, Archetypal and Annotated Two Million (3A2M) Cooking
Recipes Dataset based on Active Learning.- The Impact of Data Locality on the
Performance of Cluster-Based Under-Sampling.- An Analysis of Islamic
Inheritance System Under Object-Oriented Paradigm.- Can Transformer Models
Effectively Detect Software Aspects in StackOverflow Discussion?.- An
Empirical Studies on How the Developers Discussed about Pandas
Topics.- BSDRM: A Machine Learning Based Bug Triaging Model To Recommend
Developer Team.- A Belief Rule Based Expert System To Diagnose Schizophrenia
Using Whole Blood DNA methylation Data.- Network, Security and
Nanotechnology: Reactive and Proactive Routing Protocols
Performance Evaluation for MANETS Using OPNET Modeler Simulation Tools.- A
Novel MIMO Antenna for 6G Applications.- Modification of Link Speed
Estimation Model for IEEE 802.11ac WLANs by Considering Shadowing
Effect.- Electromagnetic Absorption Analysis of 5G Wireless Devices for
Different Electromagnetic Shielding Techniques.- ToothHack: An Investigation
on a Bluetooth Dongle to Implement a Low-Cost and Dynamic Wireless Control
Signal Transmission  ystem.- Robustness of Eigenvalue-Spread Based rule
of combination in Dynamic Networked System with Link Failures.- Blockchain
based services in Education: A Bibliometric Analysis.- An Approach Towards
Minimizing Covid-19 Situation Using Android App and Drone-Based
Technology.- IoT and ML based approach for Highway Monitoring and Streetlamp
Controlling.- Cyber-Attack Detection through Ensemble-based Machine Learning
Classifier.- A Stacked Ensemble Spyware Detection Model Using Hyper-parameter
Tuned Tree Based Classifiers.- IoT Based Framework for Remote Patient
Monitoring.- Block-chain aided Cluster based Logistic Network for Food Supply
Chain.- Programmable Logic Array in Quantum Computing.- QPROM: Quantum
Nanotechnology for Data Storage Using Programmable Read Only
Memory.- Analytical Modeling of Multi-Junction Solar Cell Using SiSn
Alloy.- Design and Fabrication of a Low-Cost Customizable Modern CNC Laser
Cutter.- Hole Transport Layer Free non-Toxic Perovskite Solar cell Using ZnSe
Electron Transport Material.- A novel ADI based method for model reduction
of discrete-time index2 control systems.- Emerging Technologies for Society
and Industry: Prevalence of Stroke in Rural Bangladesh: A Population Based
Study.- Segmented-Truncated-SVD for Effective Feature Extraction in
Hyperspectral Image Classification.- Effective Feature extraction via
Folded-Sparse-PCA for Hyperspectral Image
classification.- Segmented-Incremental-PCA for Hyperspectral
Image Classification.- SpectralSpatial Feature Reduction for
Hyperspectral Image Classification.- Predicting the Risk of COVID-19
Infection Using Lifestyle Data.- Forecasting Dengue Incidence in Bangladesh
using Seasonal ARIMA Model, A Time Series Analysis.- The impact of social and
economic indicators on infant mortality rate in Bangladesh: A Vector Error
Correction Model (VECM) approach.- Machine Learning Approaches To Predict
Movie Success.- Structure of Global Financial Networks before and
during COVID-19 Based on Mutual Information.- Employee Attrition Analysis
Using CatBoost.- Readiness Towards Industry 4.0 of Selected
Industrial Sector.- Estimating Energy Expenditure Of Push-up Exercise In Real
Time Using Machine Learning.- Cross-Layer Architecture for Energy
Optimization of Edge Computing.- Energy Consumption Issues of a Data
Center.- Trade-offs of Improper E-waste Recycling: An Empirical Study.- A
Hybrid Cloud System for Power-Efficient Cloud Computing.- A Sustainable
E-Waste Management System for Bangladesh.- Machine Learning Algorithms on
COVID-19 Prediction Using CpG Island and AT-CG Feature on Human
Genomic Data.- Statistical and Bioinformatics Model to Identify
the Influential Genes and Comorbidities of Glioblastoma.- Protein Folding
Optimization Using Butterfly Optimization Algorithm.