New Paradigms In Computational Modeling And Its Applications
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New Paradigms In Computational Modeling And Its Applications
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Author : Snehashish Chakraverty
language : en
Publisher: Academic Press
Release Date : 2021-01-09
New Paradigms In Computational Modeling And Its Applications written by Snehashish Chakraverty and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-09 with Science categories.
In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. - Presents a self-contained and up to date review of modelling real life scientific and engineering application problems - Introduces new concepts of various computing techniques to handle different engineering and science problems - Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms
Mathematical Methods In Dynamical Systems
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Author : S. Chakraverty
language : en
Publisher: CRC Press
Release Date : 2023-05-19
Mathematical Methods In Dynamical Systems written by S. Chakraverty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-19 with Mathematics categories.
The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc. can be extremely challenging. Various aspects of mathematical modelling that may include deterministic or uncertain (fuzzy, interval, or stochastic) scenarios, along with integer or fractional order, are vital to understanding these dynamical systems. Mathematical Methods in Dynamical Systems offers problem-solving techniques and includes different analytical, semi-analytical, numerical, and machine intelligence methods for finding exact and/or approximate solutions of governing equations arising in dynamical systems. It provides a singular source of computationally efficient methods to investigate these systems and includes coverage of various industrial applications in a simple yet comprehensive way.
Handbook Of Research On Technological Advances Of Library And Information Science In Industry 5 0
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Author : Holland, Barbara Jane
language : en
Publisher: IGI Global
Release Date : 2022-12-29
Handbook Of Research On Technological Advances Of Library And Information Science In Industry 5 0 written by Holland, Barbara Jane and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Language Arts & Disciplines categories.
Industry 5.0 is advancing the collaboration between humans and machines and is finding value through connected virtual and human experiences. This technological revolution benefits numerous fields; however, the library and information science industry in particular can evolve and expand by embracing Industry 5.0. The Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0 considers the current research and future trends of technological advances in library and information science related to Industry 5.0. Covering key topics such as robotics, smart libraries, augmented reality, digital libraries, and artificial intelligence, this major reference work is ideal for librarians, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Soft Computing In Interdisciplinary Sciences
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Author : S. Chakraverty
language : en
Publisher: Springer Nature
Release Date : 2021-11-01
Soft Computing In Interdisciplinary Sciences written by S. Chakraverty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-01 with Technology & Engineering categories.
This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.
Echnology Assessment In Software Applications
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Author : Harold F. O'Neil, Jr.
language : en
Publisher: Routledge
Release Date : 2013-11-05
Echnology Assessment In Software Applications written by Harold F. O'Neil, Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-05 with Education categories.
This volume offers an expansion of ideas presented at a recent conference convened to identify the major strategies and more promising practices for assessing technology. The authors -- representing government, business, and university sectors -- helped to set the boundaries of present technology assessment by offering perspectives from computer science, cognitive and military psychology, and education. Their work explores both the use of techniques to assess technology and the use of technology to facilitate the assessment process. The book's main purpose is to portray the state of the art in technology assessment and to provide conceptual options to help readers understand the power of technology. Technological innovation will continue to develop its own standards of practice and effectiveness. To the extent that these practices are empirically based, designers, supporters, and consumers will be given better information for their decisions.
Computational Modelling Of Objects Represented In Images Fundamentals Methods And Applications
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Author : João Manuel R.S. Tavares
language : en
Publisher: CRC Press
Release Date : 2018-05-08
Computational Modelling Of Objects Represented In Images Fundamentals Methods And Applications written by João Manuel R.S. Tavares and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Technology & Engineering categories.
This book contains keynote lectures and full papers presented at the International Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE), held in Coimbra, Portugal, on 20-21 October 2006. International contributions from nineteen countries provide a comprehensive coverage of the current state-of-the-art in the fields of: - Image Processing and Analysis; - Image Segmentation; - Data Interpolation; - Registration, Acquisition and Compression; - 3D Reconstruction; - Objects Tracking; - Motion and Deformation Analysis; - Objects Simulation; - Medical Imaging; - Computational Bioimaging and Visualization. Related techniques also covered in this book include the finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Modelling of Objects Represented in Images will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, and Computational Mechanics.
Computational Science And Its Applications Iccsa 2004
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Author : Antonio Laganà
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-05-07
Computational Science And Its Applications Iccsa 2004 written by Antonio Laganà and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-07 with Computers categories.
The natural mission of Computational Science is to tackle all sorts of human problems and to work out intelligent automata aimed at alleviating the b- den of working out suitable tools for solving complex problems. For this reason ComputationalScience,thoughoriginatingfromtheneedtosolvethemostch- lenging problems in science and engineering (computational science is the key player in the ?ght to gain fundamental advances in astronomy, biology, che- stry, environmental science, physics and several other scienti?c and engineering disciplines) is increasingly turning its attention to all ?elds of human activity. In all activities, in fact, intensive computation, information handling, kn- ledge synthesis, the use of ad-hoc devices, etc. increasingly need to be exploited and coordinated regardless of the location of both the users and the (various and heterogeneous) computing platforms. As a result the key to understanding the explosive growth of this discipline lies in two adjectives that more and more appropriately refer to Computational Science and its applications: interoperable and ubiquitous. Numerous examples of ubiquitous and interoperable tools and applicationsaregiveninthepresentfourLNCSvolumescontainingthecontri- tions delivered at the 2004 International Conference on Computational Science and its Applications (ICCSA 2004) held in Assisi, Italy, May 14–17, 2004.
Multi Chaos Fractal And Multi Fractional Artificial Intelligence Of Different Complex Systems
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Author : Yeliz Karaca
language : en
Publisher: Academic Press
Release Date : 2022-06-22
Multi Chaos Fractal And Multi Fractional Artificial Intelligence Of Different Complex Systems written by Yeliz Karaca and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Science categories.
Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. - Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. - Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. - Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.
Artificial Neural Networks And Type 2 Fuzzy Set
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Author : Snehashish Chakraverty
language : en
Publisher: Elsevier
Release Date : 2025-03-06
Artificial Neural Networks And Type 2 Fuzzy Set written by Snehashish Chakraverty and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
Soft computing is an emerging discipline which aims to exploit tolerance for imprecision, approximate reasoning, and uncertainty to achieve robustness, tractability, and cost effectiveness for building intelligent machines. Soft computing methodologies include neural networks, fuzzy sets, genetic algorithms, Bayesian networks, and rough sets, among others. In this regard, neural networks are widely used for modeling dynamic solvers, classification of data, and prediction of solutions, whereas fuzzy sets provide a natural framework for dealing with uncertainty. Artificial Neural Networks and Type-2 Fuzzy Set: Elements of Soft Computing and Its Applications covers the fundamental concepts and the latest research on variants of Artificial Neural Networks (ANN), including scientific machine learning and Type-2 Fuzzy Set (T2FS). In addition, the book also covers different applications for solving real-world problems along with various examples and case studies. It may be noted that quite a bit of research has been done on ANN and Fuzzy Set theory/ Fuzzy logic. However, Artificial Neural Networks and Type-2 Fuzzy Set is the first book to cover the use of ANN and fuzzy set theory with regards to Type-2 Fuzzy Set in static and dynamic problems in one place. Artificial Neural Networks and Type-2 Fuzzy Sets are two of the most widely used computational intelligence techniques for solving complex problems in various domains. Both ANN and T2FS have unique characteristics that make them suitable for different types of problems. This book provides the reader with in-depth understanding of how to apply these computational intelligence techniques in various fields of science and engineering in general and static and dynamic problems in particular. Further, for validation purposes of the ANN and fuzzy models, the obtained solutions of each model in the book is compared with already existing solutions that have been obtained with numerical or analytical methods. - Covers the fundamental concepts and the latest research on variants of Artificial Neural Networks, including scientific machine learning and Type-2 Fuzzy Set - Discusses the integration of ANN and Type-2 Fuzzy Set, showing how combining these two approaches can enhance the performance and robustness of intelligent systems - Demonstrates how to solve scientific and engineering research problems through a variety of real-world examples and case studies - Includes coverage of both static and dynamic problems, along with validation of ANN and Fuzzy models by comparing the obtained solutions of each model with already existing solutions that have been obtained with numerical or analytical methods
Ionomics
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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2025-02-26
Ionomics written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Language Arts & Disciplines categories.
Ionomics represents a groundbreaking fusion of ion dynamics, atomic interactions, quantum equilibrium, linguistic structuring, and axiomatic reasoning, forming a recursive framework for understanding the movement of charged particles and their role in shaping both the physical and informational worlds. Derived from "Ion-" (Greek: ion, meaning "to go, movement of charged particles") and "-nomics" (Greek: nomos, meaning "law, system"), this pioneering model integrates atomic structures, quantum mechanics, and linguistic categorization with advanced computational methodologies, creating a self-regulating bridge between physical sciences and information systems. At its core, Ionomics unifies: Ion Dynamics → The fundamental behavior of charged particles in atomic and quantum systems Atomic Interactions → The role of ionic structures in molecular and energetic transformations Quantum Equilibrium → The balance of probabilistic wavefunctions governing ion behavior Linguistic Singularity → The structuring of scientific language to standardize interdisciplinary knowledge Axiomatic Truths → The recursive principles governing system-wide coherence By leveraging: AI-driven predictive models – Tracking ionic behavior across multiple scales Blockchain-based verification – Securing scientific standardization and interdisciplinary data integrity Quantum field simulations – Modeling the probabilistic behaviors of ion interactions Recursive mathematical frameworks – Integrating statistical mechanics with computational intelligence Ionomics provides a unified, multi-scale framework that bridges the microscopic world of charged particle interactions with macroscopic system behaviors, offering breakthrough insights across disciplines ranging from materials science to cognitive computing. This model transforms our understanding of how matter, energy, and information converge, ensuring a systematic and scalable approach to the standardization of physical and computational systems.