Bøger af Samsul Ariffin Abdul Karim

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 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 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 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 ΓÇô 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.