English | 2022 | ISBN: 978-8770224178 | 191 pages | True PDF | 15.56 MB
The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of machine learning. There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or are too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis.
[center]

English | 2022 | ISBN: 9781685078911 | 114 pages | True PDF | 14.1 MB
This book, entitled Computational Intelligence of Blockchain Systems, emphasizes concepts of computational intelligence and blockchain-based applications. It also presents a detailed discussion on the incorporation of blockchain technology and computational intelligence in implementing smart real-time applications. Furthermore, this book examines the convergence of blockchain and computational intelligence from a research perspective that helps students/research scholars to carry out their research in this direction. This book comprises chapters that explain the role of blockchain and computational intelligence in Industry 4.0, fake news detection, privacy preservation, voting systems, etc. in a precise way. This precise explanation motivates students to develop their own secure and smart applications in various domains.
[center]

English | 2023 | ISBN: 1032304936 | 227 pages | True PDF | 7.93 MB
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice.
This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions.

English | 2022 | ISBN: 1681089572 | 225 pages | True PDF EPUB | 21.32 MB
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms.
Key Features:

English | 2022 | ISBN: 0262046474 | 468 pages | True EPUB | 113.66 MB
A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics.
Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques.

English | 2022 | ISBN: 9811253838 | 160 pages | True PDF | 6.44 MB
This comprehensive compendium describes a parametric model and algorithmic theory to represent geometric entities with dependent uncertainties between them. The theory, named Linear Parametric Geometric Uncertainty Model (LPGUM), is an expressive and computationally efficient framework that allows to systematically study geometric uncertainty and its related algorithms in computer geometry.
The self-contained monograph is of great scientific, technical, and economic importance as geometric uncertainty is ubiquitous in mechanical CAD/CAM, robotics, computer vision, wireless networks and many other fields. Geometric models, in contrast, are usually exact and do not account for these inaccuracies.

English | 2022 | ISBN: 978-1119696957 | 268 pages | True PDF | 16.94 MB
Computational Fractional Dynamical Systems A rigorous presentation of different expansion and semi-analytical methods for fractional differential equations
Fractional differential equations, differential and integral operators with non-integral powers, are used in various science and engineering applications. Over the past several decades, the popularity of the fractional derivative has increased significantly in diverse areas such as electromagnetics, financial mathematics, image processing, and materials science. Obtaining analytical and numerical solutions of nonlinear partial differential equations of fractional order can be challenging and involve the development and use of different methods of solution.

English | 2022 | ISBN: 1119743516 | 892 pages | True PDF EPUB | 154.63 MB
COMPUTATIONAL FLUID DYNAMICS AND ENERGY MODELLING IN BUILDINGS A Comprehensive Overview of the Fundamentals of Heat and Mass Transport Simulation and Energy Performance in Buildings
In the first part of Computational Fluid Dynamics and Energy Modelling in Buildings: Fundamentals and Applications , the author explains the fundamentals of fluid mechanics, thermodynamics, and heat transfer, with a specific focus on their application in buildings. This background knowledge sets the scene to further model heat and mass transport in buildings, with explanations of commonly applied simplifications and assumptions.

English | 2022 | ISBN: 9781849841511 | 250 pages | True PDF EPUB | 66.39 MB
Complex breathlessness (breathlessness with an unclear cause or that appears disproportionate to underlying causes) is an important and often neglected condition that presents a challenge to both patients and clinicians. This Monograph aims to provide clinicians at all levels with a comprehensive guide to complex breathlessness. Covering all aspects of this challenging clinical scenario, it will prove a useful resource when faced with a symptomatic breathless patient with no obvious underlying cause or with disproportionate symptoms. Several less commonly considered clinical entities and their associated features are highlighted, and approaches to breathlessness management are suggested in the absence of a clear diagnosis or set of abnormalities on investigation.
[center]

English | 2022 | ISBN: 3031183967 | 129 pages | True PDF EPUB | 21.18 MB
This book is intended for designers with experience in traditional (clocked) circuit design, seeking information about asynchronous circuit design, in order to determine if it would be advantageous to adopt asynchronous methodologies in their next design project. The author introduces a generic approach for implementing a deterministic completion detection scheme for asynchronous bundled data circuits that incorporates a data-dependent computational process, taking advantage of the average-case delay. The author validates the architecture using a barrel shifter, as shifting is the basic operation required by all the processors. The generic architecture proposed in this book for a deterministic completion detection scheme for bundled data circuits will facilitate researchers in considering the asynchronous design style for developing digital circuits.
[center]