Artificial Intelligence and Knowledge Processing

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Publisher : Bentham Science Publishers
ISBN 13 : 9789815165753
Total Pages : 0 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Artificial Intelligence and Knowledge Processing by : Raul V Rodriguez

Download or read book Artificial Intelligence and Knowledge Processing written by Raul V Rodriguez and published by Bentham Science Publishers. This book was released on 2023-11-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: - Showcases a wide range of AI applications - Bridges theory and practice with real-word insights - Uses accessible language to explain complex AI concepts - Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Artificial Intelligence and Knowledge Processing: Methods and Applications

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Publisher : Bentham Science Publishers
ISBN 13 : 9815165747
Total Pages : 241 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Artificial Intelligence and Knowledge Processing: Methods and Applications by : Hemachandran K.

Download or read book Artificial Intelligence and Knowledge Processing: Methods and Applications written by Hemachandran K. and published by Bentham Science Publishers. This book was released on 2023-11-24 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: · Showcases a wide range of AI applications · Bridges theory and practice with real-word insights · Uses accessible language to explain complex AI concepts · Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Artificial Intelligence and Knowledge Processing

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Publisher :
ISBN 13 : 9781032357577
Total Pages : 0 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Artificial Intelligence and Knowledge Processing by : Hemachandran K.

Download or read book Artificial Intelligence and Knowledge Processing written by Hemachandran K. and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning"--

Artificial Intelligence Methods and Applications

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Publisher : World Scientific
ISBN 13 : 9814505293
Total Pages : 732 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Artificial Intelligence Methods and Applications by : N G Bourbakis

Download or read book Artificial Intelligence Methods and Applications written by N G Bourbakis and published by World Scientific. This book was released on 1992-12-31 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first in a series which deals with the challenge of AI issues, gives updates of AI methods and applications, and promotes high quality new ideas, techniques and methodologies in AI. This volume contains articles by 38 specialists in various AI subfields covering theoretical and application issues. Contents:Introduction to Advanced Series on Artificial Intelligence (N G Bourbakis)Fundamental Methods for Horn Logic and Artificial Intelligence Applications (E Kounalis & P Marquis)Applications of Genetic Algorithms to Permutation Problems (F E Petry & B P Buckles)Extracting Procedural Knowledge from Software Systems Using Inductive Learning in the PM System (R G Reynolds et al.)Resource-Oriented Parallel Planning (S Lee & K Chung)Advanced Parsing Technology for Knowledge-Based Shells (J R Kipps)The Analysis and Synthesis of Intelligent Systems (W Arden)Document Image Analysis and Recognition (S N Srihari et al.)Signal Understanding: An Artificial Intelligence Approach to Modulation Classification (J E Whelchel et al.)and other papers Readership: Computer scientists, researchers and professionals in artificial intelligence. keywords:

Artificial Intelligence: Concepts, Techniques and Applications

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Publisher : States Academic Press
ISBN 13 : 9781639890620
Total Pages : 245 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Artificial Intelligence: Concepts, Techniques and Applications by : Alexis Keller

Download or read book Artificial Intelligence: Concepts, Techniques and Applications written by Alexis Keller and published by States Academic Press. This book was released on 2021-11-16 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of a digital computer to perform complex tasks which are associated with humans is termed as artificial intelligence. It is a multi-disciplinary field which employs the principles of computer science, information engineering, psychology, mathematics, philosophy and linguistics. The primary goals of research in artificial intelligence are knowledge representation, reasoning, learning, planning, perception, and the ability to move and manipulate objects. It uses statistical approaches and computational modeling methods to achieve its long term goal of general intelligence. Artificial intelligence can be divided into machine learning, deep learning, natural language processing and robotics. It finds extensive application in the fields of military simulation, delivery and distribution networks, strategic game systems and self-driving cars. The topics included in this book on artificial intelligence are of utmost significance and bound to provide incredible insights to readers. Different approaches, evaluations and methodologies on artificial intelligence have been included herein. This book is an essential guide for both academicians and those who wish to pursue this discipline further.

Knowledge Processing and Applied Artificial Intelligence

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Publisher : Elsevier
ISBN 13 : 1483183920
Total Pages : 369 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Knowledge Processing and Applied Artificial Intelligence by : Soumitra Dutta

Download or read book Knowledge Processing and Applied Artificial Intelligence written by Soumitra Dutta and published by Elsevier. This book was released on 2014-05-16 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Processing and Applied Artificial Intelligence discusses the business potential of knowledge processing and examines the aspects of applied artificial intelligence technology. The book is comprised of nine chapters that are organized into five parts. The text first covers knowledge processing and applied artificial intelligence, and then proceeds to tackling the techniques for acquiring, representing, and reasoning with knowledge. The next part deals with the process of creating and implementing strategically advantageous knowledge-based system applications. The fourth part covers intelligent interfaces, while the last part details alternative approaches to knowledge processing. The book will be of great use to students and professionals of computer or business related disciplines.

Artificial Intelligence for Business

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Publisher : Springer
ISBN 13 : 331997436X
Total Pages : 81 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Artificial Intelligence for Business by : Rajendra Akerkar

Download or read book Artificial Intelligence for Business written by Rajendra Akerkar and published by Springer. This book was released on 2018-08-11 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

Knowledge Graphs

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Publisher : MIT Press
ISBN 13 : 0262045095
Total Pages : 559 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Knowledge Graphs by : Mayank Kejriwal

Download or read book Knowledge Graphs written by Mayank Kejriwal and published by MIT Press. This book was released on 2021-03-30 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Knowledge-based Systems: Advanced Concepts, Techniques And Applications

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Publisher : World Scientific
ISBN 13 : 9814498351
Total Pages : 650 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Knowledge-based Systems: Advanced Concepts, Techniques And Applications by : Spyros Tzafestas

Download or read book Knowledge-based Systems: Advanced Concepts, Techniques And Applications written by Spyros Tzafestas and published by World Scientific. This book was released on 1997-06-16 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under uncertainty, conflict detection and resolution, structured knowledge architectures, and natural language-based man-machine communication.The Applications include: Real-time decision support, system fault diagnosis, quality assessment, manufacturing production, robotic assembly, and robotic welding.The reader can save considerable time in searching the scattered literature in the field, and can find here a powerful set of how-to-do issues and results.

Knowledge Engineering for Modern Information Systems

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110713691
Total Pages : 282 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Knowledge Engineering for Modern Information Systems by : Anand Sharma

Download or read book Knowledge Engineering for Modern Information Systems written by Anand Sharma and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-01-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.