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This book provides solutions to manage information competently in order to increase its business usage. The information/knowledge business is a highly-dynamic evolving industry, and the novel methodologies and practices for the business information processing, as well as application of mathematical models to the business analytics and efficient management, are the most essential for the decision-making and further development of this field.Consequently, in this series subline first volume, the authors study challenges and opportunities, as well as embrace different aspects of business information processing for an efficient enterprise management. The authors cover also methods and techniques, as well as strategies for the efficient business information processing for management. Besides, the authors analyse strategies for lowering business information/data loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects of managerial implications on the informational business on the continuous basis.

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.

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.

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 contains a collection of 13 carefully selected papers contributed by researches in technical and partial medical diagnostics as well as fault-tolerant control and constitutes a comprehensive study of the field.

This book focuses on modern technologies and systems for solving problems in the energy sector. New technologies for the construction of power plants based on renewable energy sources have been proposed and investigated.

This book provides an examination of major problems facing the world using mathematics of uncertainty. Since accurate data is impossible to obtain concerning human tracking and other global problems, mathematics of uncertainty is an ideal discipline to study these problems.

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 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.

This book presents the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm.

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 demonstrates the unifying methods of generalized versions of Hilfer, Prabhakar and Hilfer¿Prabhakar fractional calculi, and we establish related unifying fractional integral inequalities of the following types: Iyengar, Landau, Polya, Ostrowski, Hilbert¿Pachpatte, Hardy, Opial, Csiszar¿s f-Divergence, self-adjoint operator and related to fuzziness. Our results are univariate and multivariate. This book¿s results are expected to find applications in many areas of pure and applied mathematics, especially in fractional inequalities and fractional differential equations. Other interesting applications can be in applied sciences like geophysics, physics, chemistry, economics and engineering. This book is appropriate for researchers, graduate students, practitioners and seminars of the above disciplines, also to be in all science and engineering libraries.

This book is devoted to the development of complex methods and means of their implementation with using UAVs aimed for improving the safety and efficiency of the energy system.

The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges.

This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018. In many application areas, it is necessary to make effective decisions under constraints, and there are several area-specific techniques for such decision problems.

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization.

The respective papers combine a range of disciplines to analyse major agri-food challenges in Europe and South America, offering readers a practical understanding of how risk and uncertainties can be managed by means of validated data and results from agri-food systems analysis.

This book shows how to provide uncertainty-related theoretical justification for empirical dependencies, on the examples from numerous application areas.

The model has further been employed to demonstrate adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots will interest researchers, practicing engineers and postgraduate students working in the field of robotics and control systems.

This book aims through 11 chapters discussing the problems and challenges and some future research points from the recent technologies point of view such as artificial intelligence and the Internet of things (IoT) that can help the environment and healthcare sectors reducing COVID-19.

The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis-based design, and many others.

This book constitutes the full research papers and short monographs developed on the base of the refereed proceedings of the International Conference: Information and Communication Technologies for Research and Industry (ICIT 2020).

This book constitutes the full research papers and short monographs developed on the base of the refereed proceedings of the International Conference: Information and Communication Technologies for Research and Industry (ICIT 2020).

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications.

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications.

This book includes new findings on socio-economic cyber systems control and development approaches based on AI and data-driven techniques. Approaches combined both mathematical models and data processing techniques are also proposed as advanced methods for smart system design for ecology and health care.

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme.

Each chapter presented in the book proposes new dimension in the sliding mode control theory such as higher order sliding mode control, event triggered sliding mode control, networked control, higher order discrete-time sliding mode control and sliding mode control for multi-agent systems.

This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:¿ a review of various existing structures of sliding-mode fuzzy control;¿ a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;¿ state-of-the-art procedures for the design of a sliding-mode fuzzy controller;¿ source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;¿ a short bibliography for each chapter for readers interested in learning more on a particular subject; and¿ illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.