Description
Since 2011, the Fourth Industrial Revolution (IR4.0) has played a significant role in education, research, and industry. Data technologies have also evolved rapidly to cater to the rapidly growing size of the data as well as to enhance the security of the shared data through multiple resources and platforms.
Intelligent Systems of Computing and Informatics aims to develop a new Intelligent Systems of Computing and Informatics (ISCI) to cater to the needs of industries in line with the United Nations’ Sustainable Development Goals (SDGs) of affordable and clean energy and sustainable cities and communities.
Comprising 20 chapters by experts from all over the world, this book covers such topics as data technologies, machine learning, signal and image processing, software systems efficiency, computer networking, Internet of Things, and computational intelligence for real-life problems.
Key Features:
- Develops a new system for computing and informatics
- Provides the state of the art of current research and studies in intelligence systems
- Written by experts in the field of computing and informatics
This book is aimed at postgraduate students, researchers working in various research and development (R&D) agencies, and practitioners, as well as scientists that have an interest in ISCI.
Table of Contents
Preface. Editors. Contributors. Chapter 1 Intelligent Systems of Computing and Informatics: An Overview. Chapter 2 Intelligent Application of Partial Least Square Algorithm in Developing Model of Fat Depth Measurement. Chapter 3 Single Feature Imbalance Classification on Ensemble Learning Methods for Efficient Real-Time Malware Detection. Chapter 4 Electroencephalogram-Based Emotion Recognition Using Binary Bat Algorithm and Least Square Support Vector Machine. Chapter 5 Sequential Exception Technique for Text Anomalies. Chapter 6 Intelligence Predictive Model for Lamb Carcass C-Site Fat Depth Using Support Vector Machine. Chapter 7 Exploring the Power of Convolutional Neural Networks in Face Detection. Program. Chapter 9 Intelligence Random Forest Application in Developing Regression Model from Lamb Carcass C-Site Fat Depth Data. Chapter 10 Intelligent Identification System for MOOC Security. Chapter 11 Low Illumination Surveillance for Object Detection and Recognition Using Deep Learning Methods. Chapter 12 Intelligent System Design for the Solutions of Nonlinear Diffusion in the Two-Dimensional Porous Medium. Chapter 13 Improved False Position Method Based on Slope (IFPMS). Chapter 14 Computing of Anxiety or Depression Symptoms Indicators Using Lagrange Exponential Modified Euler Method. Chapter 15 Hybridization of Simulated Kalman Filter and Minimization of Metabolic Adjustment for Succinate and Lactate Production. Chapter 16 Intelligent Air Conditioning Systems: Enhancing Energy Efficiency and Indoor Air Quality through IoT and Air Conditioning Unit Using Machine Learning. Chapter 17 A Comprehensive Analysis of Air Quality Data: A Case Study Approach with the OpenAir Package in R. Chapter 18 A Systematic Review on Intelligent Mobile Beacon Systems: Applications and Features. Chapter 19 Enhancing the Use of Simulation Software with Artificial Intelligence Methods for Clean Energy System Performance. Chapter 20 Intelligent Systems of Computing and Informatics: An Extension. INDEX.
