Machine Learning and Artificial Intelligence

Proceedings of MLIS 2022

J.-L. Kim, Jon-Lark Kim

• Publisher: SAGE Publications Ltd
• Year: 2022
• Print ISBN: 9781643683560
• eBook ISBN: 9781643683577
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Machine learning (ML) and artificial intelligence (AI) applications are now so pervasive that they have become indispensable facilitators which improve the quality of all our daily lives. This book presents the proceeding of MLIS 2022, the 4th International Conference on Machine Learning and Intelligent Systems, held as a virtual event due to the continued uncertainty caused by the Covid-19 pandemic and hosted in Seoul, South Korea from 8 to 11 November 2022. The aim of the annual MLIS conference is to provide a platform for the exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems, and to strengthen links in the scientific community in related research areas. Scientific topics covered at MLIS 2022 included data mining, image processing, neural networks, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. The book contains the 20 papers selected for acceptance after a rigorous peer review process from the more than 90 full papers submitted. Selection criteria were based on originality, scientific/practical significance, compelling logical reasoning and language, and the 20 papers included here all provide either innovative and original ideas or results of general significance in the field of ML and AI. Providing an overview of the latest research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.

Table of contents

• Title Page
• Preface
• About the Conference
• Contents
• Attitudes Towards Online Learning During COVID-19: A Cluster and Sentiment Analyses
• Factors Influencing the Animation Infographic and Augmented Reality Technique in Healthcare Promotion Communication for the Elderly in Thailand
• Forecasting and XAI for Applications Usage in OS
• Empirical Evaluation of the Asymptotic Behavior of the Analysis Complexity of Hard Random 3-CNF Formulas
• Machine Learning-Based Current Density Simulation for Direct Borohydride Fuel Cell
• Applying Social Network Analysis and Data Mining Techniques to Support Decision-Making: A Case Study
• SD-Depth: Light-Weight Monocular Depth Estimation Using Space Depth CNN for Real-Time Applications
• A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings
• Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network
• Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection
• Generalized Multiquadric Neural Networks in Image Reconstruction
• Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks
• IoT-Based Driver Distraction Prevention System
• An Intelligent System for Safe and Satisfactory Individual Travel Tours in Tokyo
• On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis
• An Education Tool That Supports Junior Learners in Studying Machine Learning
• Frost Forecasting System with Multiple Models of Machine Learning
• Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model
• Ball Position Feature Embedded Group Activity Recognition Model for Team Sport Games
• An Entropic Approach to Technology Enable Learning and Social Computing
• Subject Index
• Author Index