[PDF] Recent Advances In Intelligent Information Systems And Applied Mathematics - eBooks Review

Recent Advances In Intelligent Information Systems And Applied Mathematics


Recent Advances In Intelligent Information Systems And Applied Mathematics
DOWNLOAD

Download Recent Advances In Intelligent Information Systems And Applied Mathematics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Recent Advances In Intelligent Information Systems And Applied Mathematics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Recent Advances In Intelligent Information Systems And Applied Mathematics


Recent Advances In Intelligent Information Systems And Applied Mathematics
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2020-01-31

Recent Advances In Intelligent Information Systems And Applied Mathematics written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Technology & Engineering categories.


This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.



Recent Advances In Intelligent Information Systems And Applied Mathematics


Recent Advances In Intelligent Information Systems And Applied Mathematics
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher:
Release Date : 2020

Recent Advances In Intelligent Information Systems And Applied Mathematics written by Oscar Castillo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computer science categories.


This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.



Applied Mathematics And Computational Intelligence


Applied Mathematics And Computational Intelligence
DOWNLOAD
Author : Anna M. Gil-Lafuente
language : en
Publisher: Springer
Release Date : 2018-03-06

Applied Mathematics And Computational Intelligence written by Anna M. Gil-Lafuente and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Technology & Engineering categories.


This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.



Applied Mathematics And Computational Intelligence


Applied Mathematics And Computational Intelligence
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2023-05-23

Applied Mathematics And Computational Intelligence written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Mathematics categories.


This book contains select papers presented at the International Conference on Applied Mathematics and Computational Intelligence (ICAMCI-2020), held at the National Institute of Technology Agartala, Tripura, India, from 19–20 March 2020. It discusses the most recent breakthroughs in intelligent techniques such as fuzzy logic, neural networks, optimization algorithms, and their application in the development of intelligent information systems by using applied mathematics. The book also explains how these systems will be used in domains such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and complicated problems in optimization. The book publishes new developments and advances in various areas of type-3 fuzzy, intuitionistic fuzzy, computational mathematics, block chain, creak analysis, supply chain, soft computing, fuzzy systems, hybrid intelligent systems, thermos-elasticity, etc. The book is targeted to researchers, scientists, professors, and students of mathematics, computer science, applied science and engineering, interested in the theory and applications of intelligent systems in real-world applications. It provides young researchers and students with new directions for their future study by exchanging fresh thoughts and finding new problems.



Empowering Artificial Intelligence Through Machine Learning


Empowering Artificial Intelligence Through Machine Learning
DOWNLOAD
Author : Nedunchezhian Raju
language : en
Publisher: CRC Press
Release Date : 2022-06-16

Empowering Artificial Intelligence Through Machine Learning written by Nedunchezhian Raju and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Computers categories.


This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.



Modeling And Applications In Operations Research


Modeling And Applications In Operations Research
DOWNLOAD
Author : Jyotiranjan Nayak
language : en
Publisher: CRC Press
Release Date : 2023-11-29

Modeling And Applications In Operations Research written by Jyotiranjan Nayak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Technology & Engineering categories.


The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects: Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers Illustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs Showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm The text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.



Applied Nonlinear Analysis And Soft Computing


Applied Nonlinear Analysis And Soft Computing
DOWNLOAD
Author : Hemen Dutta
language : en
Publisher: Springer Nature
Release Date : 2023-07-20

Applied Nonlinear Analysis And Soft Computing written by Hemen Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-20 with Technology & Engineering categories.


The volume contains original research papers as the Proceedings of the International Conference on Applied Nonlinear Analysis and Soft Computing (ANASC 2020), held at Gauhati University, Guwahati, India, on 22-23 December, 2020. It focuses on current research topics in applied analysis including nonlinearity, soft computing and related areas. It primarily includes topics related to pattern recognition, reaction-diffusion problem, decision making problems, inventory model, predator-prey model, logistic models, wave problems, problems in Magnetohydrodynamics, cosmological model, harmonic functions, graphs, shapes, etc. Researchers, educators, scientist and professionals interested in recent developments in applied analysis including nonlinearity aspects and soft computing should be benefited from this volume.



Computer Vision And Robotics


Computer Vision And Robotics
DOWNLOAD
Author : Praveen Kumar Shukla
language : en
Publisher: Springer Nature
Release Date : 2025-06-28

Computer Vision And Robotics written by Praveen Kumar Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Technology & Engineering categories.


This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2024), organized by Symbiosis Skills and Professional University, Pune, Maharashtra, India, during 25–26 May 2024. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.



Multidisciplinary Approaches For Sustainable Development


Multidisciplinary Approaches For Sustainable Development
DOWNLOAD
Author : Anshuman Tripathi
language : en
Publisher: CRC Press
Release Date : 2024-11-25

Multidisciplinary Approaches For Sustainable Development written by Anshuman Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Business & Economics categories.


In a world where the pace of technological advancement continues to accelerate, the imperative to ensure sustainable development has never been more pressing to address the same, the 1st International Conference on Multidisciplinary Approaches for Sustainable Development in Science & Technology (MASDST - 2024), took place at Manipal University Jaipur, Rajasthan, India, from 28th to 29th March 2024. Embracing the spirit of innovation and collaboration, this conference marks a significant milestone in the pursuit of sustainable solutions for our global challenges.



Computational Intelligence For Autonomous Finance


Computational Intelligence For Autonomous Finance
DOWNLOAD
Author : Deepak Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-17

Computational Intelligence For Autonomous Finance written by Deepak Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Computers categories.


The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields.