[PDF] Challenging Problems And Solutions In Intelligent Systems - eBooks Review

Challenging Problems And Solutions In Intelligent Systems


Challenging Problems And Solutions In Intelligent Systems
DOWNLOAD

Download Challenging Problems And Solutions In Intelligent Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Challenging Problems And Solutions In Intelligent Systems 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



Challenging Problems And Solutions In Intelligent Systems


Challenging Problems And Solutions In Intelligent Systems
DOWNLOAD
Author : Guy de Trė
language : en
Publisher: Springer
Release Date : 2016-03-25

Challenging Problems And Solutions In Intelligent Systems written by Guy de Trė and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-25 with Technology & Engineering categories.


This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.



Issues And Challenges Of Intelligent Systems And Computational Intelligence


Issues And Challenges Of Intelligent Systems And Computational Intelligence
DOWNLOAD
Author : László T. Kóczy
language : en
Publisher: Springer
Release Date : 2014-01-11

Issues And Challenges Of Intelligent Systems And Computational Intelligence written by László T. Kóczy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-11 with Technology & Engineering categories.


This carefully edited book contains contributions of prominent and active researchers and scholars in the broadly perceived area of intelligent systems. The book is unique both with respect to the width of coverage of tools and techniques, and to the variety of problems that could be solved by the tools and techniques presented. The editors have been able to gather a very good collection of relevant and original papers by prominent representatives of many areas, relevant both to the theory and practice of intelligent systems, artificial intelligence, computational intelligence, soft computing, and the like. The contributions have been divided into 7 parts presenting first more fundamental and theoretical contributions, and then applications in relevant areas.



Intelligent Computing Optimization


Intelligent Computing Optimization
DOWNLOAD
Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2021-12-30

Intelligent Computing Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Technology & Engineering categories.


This book includes the scientific results of the fourth edition of the International Conference on Intelligent Computing and Optimization which took place at December 30–31, 2021, via ZOOM. The conference objective was to celebrate “Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation—marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings encloses the original and innovative scientific fields of optimization and optimal control, renewable energy and sustainability, artificial intelligence and operational research, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine.



Artificial Intelligence


Artificial Intelligence
DOWNLOAD
Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2021-10-28

Artificial Intelligence written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Computers categories.


Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.



Challenges For Computational Intelligence


Challenges For Computational Intelligence
DOWNLOAD
Author : Wlodzislaw Duch
language : en
Publisher: Springer
Release Date : 2007-05-31

Challenges For Computational Intelligence written by Wlodzislaw Duch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-31 with Technology & Engineering categories.


In recent years computational intelligence has been extended by adding many other subdisciplines and this new field requires a series of challenging problems that will give it a sense of direction in order to ensure that research efforts are not wasted. This book written by top experts in computational intelligence provides such clear directions and a much-needed focus on the most important and challenging research issues.



Intelligent Systems


Intelligent Systems
DOWNLOAD
Author : Ricardo Cerri
language : en
Publisher: Springer Nature
Release Date : 2020-10-15

Intelligent Systems written by Ricardo Cerri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-15 with Computers categories.


The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.



Intelligent Systems For Information Processing From Representation To Applications


Intelligent Systems For Information Processing From Representation To Applications
DOWNLOAD
Author : B. Bouchon-Meunier
language : en
Publisher: Elsevier
Release Date : 2003-11-07

Intelligent Systems For Information Processing From Representation To Applications written by B. Bouchon-Meunier and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-07 with Mathematics categories.


Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems • Contributions by world leading experts • Fundamental issues and applications • New technologies for web searching • Methods for modeling uncertain information • Future directions in web technologies • Transversal to methods and domains



Intelligent Systems For Social Good


Intelligent Systems For Social Good
DOWNLOAD
Author : Shyamapada Mukherjee
language : en
Publisher: Springer Nature
Release Date : 2022-06-11

Intelligent Systems For Social Good written by Shyamapada Mukherjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-11 with Technology & Engineering categories.


This book highlights the connections between two technologies: artificial intelligence (AI) and Internet of things (IoT). It presents the application of these two technologies to solve various societal problems related to healthcare, agriculture, green environment, renewable energies, smart cities, etc. Each chapter in this book presents novel solutions to these problems along with the challenges in the application of AI and IoT to solve them. It discusses the adverse attacks on machine Learning models and how to protect sensitive data over the IoT networks. It also includes the security issues in IoT and their possible solutions.



Intelligent Systems For Knowledge Management


Intelligent Systems For Knowledge Management
DOWNLOAD
Author : Edward Szczerbicki
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-30

Intelligent Systems For Knowledge Management written by Edward Szczerbicki 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 2009-09-30 with Mathematics categories.


New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.



Data Driven Business Intelligence Systems For Socio Technical Organizations


Data Driven Business Intelligence Systems For Socio Technical Organizations
DOWNLOAD
Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2024-04-09

Data Driven Business Intelligence Systems For Socio Technical Organizations written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Business & Economics categories.


The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.