This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.0 (IR 4.0). The topics discussed range from theoretical parts to extensive simulations involving many efficient algorithms as well as various statistical techniques. This book is suitable for postgraduate students, researchers as well as other scientists who are working in mathematics, statistics and numerical modeling and simulation.

This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

This book highlights latest advancement in Mathematics, Physics and Chemistry. With the theme of "Innovative Science towards Sustainability and Industrial Revolution 4.0", ICFAS 2020 brings together leading experts, scientific communities and industrialists working in the field of applied sciences and mathematics from all over the world to share the most recent developments and cutting-edge discoveries addressing sustainability and industrial revolution 4.0 in the field. The conference topics include green materials, molecular modelling, catalysis, nanodevices and nanosystems, smart materials applications, solar cells technology, computational mathematics, data analysis and visualization, and numerical analysis. The contents of this book are useful for researchers, students, and industrial practitioners in the areas of Mathematics, Physics and Chemistry as most of the topics are in line with IR 4.0.

Presenting latest research on renewable energy in relation to urbanization, industrialization, and the environment. Provides in depth discussion on modeling and simulation using latest techniques. Technical exposure for the readers on advanced materials. Numerous examples on properties of biomaterials and their future prospect. Provides up to date information on functional materials for industrial application.

This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

Nanotechnologies represent a fast-growing market and this unique volume highlights the current studies in applied sciences on sustainability of green science and technology. The chapters include modelling, machine learning, nanotechnology, nanofluids, nanosystems, smart materials and applications and solar and fuel cells technology. The authors cover simulation, additive manufacturing, machine learning and the autonomous system. Various aspects of green science as well as trans-disciplinary topics between fundamental science and engineering are presented.The book is suitable for all postgraduates and researchers working in this rapid growing research area. Features Presenting latest research on green materials and sustainability. Provide in depth discussion on modeling and simulation using latest techniques. Technical exposure for the readers on additive manufacturing principles. Numerous examples on nanofluids and nano technology are presented. Discusses computer modeling, superconductivity, nanotubes and related structures such as graphene.

This book comes from genuine research from various universities in Asia, such as in South East Asia and India. Since COVID-19 pandemic is spreading all over the world, most schools and institutions of higher learning have opted online-based learning for their teaching and learning (T&L) activities. Previously, the common practices in T&L are face to face (F2F). Therefore, online T&L is a new normal not just for the students but also for the instructors as well as the parents. In this book, different online teaching methods via technology-supported teaching have been implemented, and at the end of the lesson, based on the feedback from students on these online technology-supported teaching tools, most educators found that there are positive responses from majority of students, in terms of their learning, attitudes, thinking and decision-making process, apart from the challenges faced by the students in the beginning, with regards to the new approaches and methodology used by their teachers during online teaching. There are eight contributed chapters in this book covering secondary school-level curriculum up to higher institutional-level curriculum that forming a new system of T&L for post-COVID-19 pandemic. The topics under consideration include active learning (AL) and cooperative learning (CL) for T&L, task-based instruction (TBI), transition students' adaptability to post-COVID-19, creative and innovative teaching methods for secondary school-level mathematics, project-based learning (PPBL) for geophysics and impact of Socratic method and SOLO taxonomy. This book is suitable for postgraduate students, teachers, instructor, educational researchers, as well as policy makers in education and other scientists who are dedicated in teaching and educate students.

This book presents the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. Since the economy and finance, as well as the banking sector in the ASEAN region, have been growing years by years, there is the need for the policymakers and relevant agencies to study the ideas on shifting the ASEAN economy, finance, and banking towards globalization through a new paradigm. Furthermore, the recent COVID-19 pandemic has affected not just human lives but also the economic and financial sectors. Because of COVID-19, most countries around the world have imposed lockdown and moving control order (MCO) as well as conditionally moving control order (CMCO). In this book, we tackle the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. The researchers used econometric, mathematics, statistics, and quantitative sciences to study many economic, finance, and banking issues such as cryptocurrency, consumer preferences, and good governance. This book presents various new and novel results, methods, and algorithms. The findings of this book shall benefit the ASEAN policymakers, investors, and other relevant agencies. This book is also suitable for postgraduate students, researchers, and other scientists who work in econometric, finance, banking, and numerical simulation.

This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.

This book highlights latest advancement in Mathematics, Physics and Chemistry. With the theme of "Innovative Science towards Sustainability and Industrial Revolution 4.0", ICFAS 2020 brings together leading experts, scientific communities and industrialists working in the field of applied sciences and mathematics from all over the world to share the most recent developments and cutting-edge discoveries addressing sustainability and industrial revolution 4.0 in the field. The conference topics include green materials, molecular modelling, catalysis, nanodevices and nanosystems, smart materials applications, solar cells technology, computational mathematics, data analysis and visualization, and numerical analysis. The contents of this book are useful for researchers, students, and industrial practitioners in the areas of Mathematics, Physics and Chemistry as most of the topics are in line with IR 4.0.

This book provides ideas for implementing Wolfram Mathematica to solve linear integral equations. The book introduces necessary theoretical information about exact and numerical methods of solving integral equations. Every method is supplied with a large number of detailed solutions in Wolfram Mathematica. In addition, the book includes tasks for individual study. This book is a supplement for students studying "Integral Equations". In addition, the structure of the book with individual assignments allows to use it as a base for various courses.

This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.

This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

This book presents recent science and engineering research in the field of conventional and renewable energy, energy efficiency and optimization, discussing problems such as availability, peak load and reliability of sustainable supply for power to consumers. Such research is imperative since efficient and environmentally friendly solutions are critical in modern electricity production and transmission.

This book comes from genuine research from various universities in Asia, such as in South East Asia and India. Since COVID-19 pandemic is spreading all over the world, most schools and institutions of higher learning have opted online-based learning for their teaching and learning (T&L) activities. Previously, the common practices in T&L are face to face (F2F). Therefore, online T&L is a new normal not just for the students but also for the instructors as well as the parents. In this book, different online teaching methods via technology-supported teaching have been implemented, and at the end of the lesson, based on the feedback from students on these online technology-supported teaching tools, most educators found that there are positive responses from majority of students, in terms of their learning, attitudes, thinking and decision-making process, apart from the challenges faced by the students in the beginning, with regards to the new approaches and methodology used by their teachers during online teaching. There are eight contributed chapters in this book covering secondary school-level curriculum up to higher institutional-level curriculum that forming a new system of T&L for post-COVID-19 pandemic. The topics under consideration include active learning (AL) and cooperative learning (CL) for T&L, task-based instruction (TBI), transition students' adaptability to post-COVID-19, creative and innovative teaching methods for secondary school-level mathematics, project-based learning (PPBL) for geophysics and impact of Socratic method and SOLO taxonomy. This book is suitable for postgraduate students, teachers, instructor, educational researchers, as well as policy makers in education and other scientists who are dedicated in teaching and educate students.

This book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear regression model to tackle the uncertainty in the measurements of six key parameters - dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), pH value (pH) and ammoniacal nitrogen (NH3-NL). Given its scope, the book is suitable for graduate students, researchers and water quality scientists.

This book explores key examples concerning the implementation of information technology and mathematical modeling to solve issues concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at Perak River in Malaysia; using wireless sensor networks (WSNs) for a remote river water pollution monitoring system; deriving biomass activated carbon from oil palm shell; and assessing the performance of a PV/T air solar collector. The book offers a valuable resource for all graduate students and researchers who are working in this rapidly growing area.

This book highlights state-of-the-art research on renewable energy integration technology and suitable and efficient power generation, discussing smart grids, renewable energy grid integration, prediction control models, and econometric models for predicting the global solar radiation and factors that affect solar radiation, performance evaluation of photovoltaic systems, and improved energy consumption prediction models. It discusses several methods, algorithms, environmental data-based performance analyses, and experimental results to help readers gain a detailed understanding of the pros and cons of technologies in this rapidly growing area. Accordingly, it offers a valuable resource for students and researchers working on renewable energy optimization models.