Artificial Intelligence Theory And Applications

Download Artificial Intelligence Theory And Applications full books in PDF, epub, and Kindle. Read online Artificial Intelligence Theory And Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Artificial Intelligence: Theory and Applications

Author : Endre Pap
Publisher : Springer Nature
ISBN 13 : 3030727114
Total Pages : 353 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence: Theory and Applications by : Endre Pap

Download or read book Artificial Intelligence: Theory and Applications written by Endre Pap and published by Springer Nature. This book was released on 2021-07-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.

An Intuitive Exploration of Artificial Intelligence

Author : Simant Dube
Publisher : Springer Nature
ISBN 13 : 3030686248
Total Pages : 355 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis An Intuitive Exploration of Artificial Intelligence by : Simant Dube

Download or read book An Intuitive Exploration of Artificial Intelligence written by Simant Dube and published by Springer Nature. This book was released on 2021-06-21 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.

Artificial Intelligence: Theory and Applications

Author : Harish Sharma
Publisher : Springer Nature
ISBN 13 : 9819984793
Total Pages : 531 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence: Theory and Applications by : Harish Sharma

Download or read book Artificial Intelligence: Theory and Applications written by Harish Sharma and published by Springer Nature. This book was released on 2024-01-02 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Artificial Intelligence Theory, Models, and Applications

Author : P Kaliraj
Publisher : CRC Press
ISBN 13 : 1000460606
Total Pages : 506 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj

Download or read book Artificial Intelligence Theory, Models, and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030519201
Total Pages : 310 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications by : Aboul Ella Hassanien

Download or read book Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-08-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Author : Michael Zgurovsky
Publisher : Springer Nature
ISBN 13 : 303048453X
Total Pages : 527 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Systems Based on Hybrid Neural Networks by : Michael Zgurovsky

Download or read book Artificial Intelligence Systems Based on Hybrid Neural Networks written by Michael Zgurovsky and published by Springer Nature. This book was released on 2020-09-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices

Author : Hamido Fujita
Publisher : Springer Nature
ISBN 13 : 3030557898
Total Pages : 931 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices by : Hamido Fujita

Download or read book Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices written by Hamido Fujita and published by Springer Nature. This book was released on 2020-09-04 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.

Advances in Artificial Intelligence

Author : James C. Bezdek
Publisher : World Scientific
ISBN 13 : 9789810205256
Total Pages : 240 pages
Book Rating : 4.2/5 (52 download)

DOWNLOAD NOW!

Book Synopsis Advances in Artificial Intelligence by : James C. Bezdek

Download or read book Advances in Artificial Intelligence written by James C. Bezdek and published by World Scientific. This book was released on 1990 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents extensions of papers reported in the proceedings of the 1989 SPIE symposium. In the applications group articles cover the use of expert systems in computer aided education, hydrocarbon (oil) exploration, satellite image analysis for oceanography, particle beam accelerator tuning, design of internal combustion engines. Papers in the theory group cover theories, algorithms, architectures and software tools that can be used for modules within future systems.

Data Mining With Decision Trees: Theory And Applications (2nd Edition)

Author : Maimon Oded Z
Publisher : World Scientific
ISBN 13 : 9814590096
Total Pages : 328 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Data Mining With Decision Trees: Theory And Applications (2nd Edition) by : Maimon Oded Z

Download or read book Data Mining With Decision Trees: Theory And Applications (2nd Edition) written by Maimon Oded Z and published by World Scientific. This book was released on 2014-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:

Artificial Intelligence

Author : Thomas L. Dean
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 604 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence by : Thomas L. Dean

Download or read book Artificial Intelligence written by Thomas L. Dean and published by Addison-Wesley Professional. This book was released on 1995 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed understanding of the broad issues in artificial intelligence and a survey of current AI technology. The author delivers broad coverage of innovative representational techniques, including neural networks, image processing and probabilistic reasoning, alongside the traditional methods of symbolic reasoning. The work is intended for students in artificial intelligence, researchers and LISP programmers.

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

Author : Sucar, L. Enrique
Publisher : IGI Global
ISBN 13 : 160960167X
Total Pages : 444 pages
Book Rating : 4.6/5 (96 download)

DOWNLOAD NOW!

Book Synopsis Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions by : Sucar, L. Enrique

Download or read book Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions written by Sucar, L. Enrique and published by IGI Global. This book was released on 2011-10-31 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.

Innovations in Machine Learning

Author : Dawn E. Holmes
Publisher : Springer
ISBN 13 : 3540334866
Total Pages : 276 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Innovations in Machine Learning by : Dawn E. Holmes

Download or read book Innovations in Machine Learning written by Dawn E. Holmes and published by Springer. This book was released on 2006-02-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Forecasting with Artificial Intelligence

Author : Mohsen Hamoudia
Publisher : Springer Nature
ISBN 13 : 3031358791
Total Pages : 441 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis Forecasting with Artificial Intelligence by : Mohsen Hamoudia

Download or read book Forecasting with Artificial Intelligence written by Mohsen Hamoudia and published by Springer Nature. This book was released on 2023-10-22 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.

Artificial Intelligence in Data Mining

Author : D. Binu
Publisher : Academic Press
ISBN 13 : 0128206160
Total Pages : 270 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Data Mining by : D. Binu

Download or read book Artificial Intelligence in Data Mining written by D. Binu and published by Academic Press. This book was released on 2021-02-17 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense

Application of Artificial Intelligence to Assessment

Author : Hong Jiao
Publisher : IAP
ISBN 13 : 1641139536
Total Pages : 223 pages
Book Rating : 4.6/5 (411 download)

DOWNLOAD NOW!

Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao

Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.

Machine Learning and Artificial Intelligence

Author : Ameet V Joshi
Publisher : Springer Nature
ISBN 13 : 3030266222
Total Pages : 261 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Artificial Intelligence by : Ameet V Joshi

Download or read book Machine Learning and Artificial Intelligence written by Ameet V Joshi and published by Springer Nature. This book was released on 2019-09-24 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.

The Application of Artificial Intelligence

Author : Zoltán Somogyi
Publisher : Springer Nature
ISBN 13 : 3030600327
Total Pages : 448 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis The Application of Artificial Intelligence by : Zoltán Somogyi

Download or read book The Application of Artificial Intelligence written by Zoltán Somogyi and published by Springer Nature. This book was released on 2021-03-11 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.