Intelligent Systems And Machine Learning For Industry

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Intelligent Systems and Machine Learning for Industry

Author : P. R Anisha,C. Kishor Kumar Reddy,Nhu Gia Nguyen,Megha Bhushan,Ashok Kumar,Marlia Mohd Hanafiah
Publisher : CRC Press
Page : 362 pages
File Size : 44,7 Mb
Release : 2022-12-21
Category : Computers
ISBN : 9781000828832

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Intelligent Systems and Machine Learning for Industry by P. R Anisha,C. Kishor Kumar Reddy,Nhu Gia Nguyen,Megha Bhushan,Ashok Kumar,Marlia Mohd Hanafiah Pdf

The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: • Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. • Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. • Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. • Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. • Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. • Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Machine Learning and IoT for Intelligent Systems and Smart Applications

Author : Madhumathy P.,M.Vinoth Kumar,R. Umamaheswari
Publisher : Unknown
Page : 227 pages
File Size : 53,6 Mb
Release : 2021-11
Category : Biomedical engineering
ISBN : 1032047259

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Machine Learning and IoT for Intelligent Systems and Smart Applications by Madhumathy P.,M.Vinoth Kumar,R. Umamaheswari Pdf

"The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering"--

Building Intelligent Systems

Author : Geoff Hulten
Publisher : Apress
Page : 346 pages
File Size : 51,9 Mb
Release : 2018-03-06
Category : Computers
ISBN : 9781484234327

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Building Intelligent Systems by Geoff Hulten Pdf

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems

Intelligent Systems: Theory, Research and Innovation in Applications

Author : Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 367 pages
File Size : 52,9 Mb
Release : 2020-03-03
Category : Technology & Engineering
ISBN : 9783030387044

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Intelligent Systems: Theory, Research and Innovation in Applications by Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk Pdf

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Intelligent System Algorithms and Applications in Science and Technology

Author : Sunil Pathak,Pramod Kumar Bhatt,Sanjay Kumar Singh,Ashutosh Tripathi,Pankaj Kumar Pandey
Publisher : CRC Press
Page : 428 pages
File Size : 48,9 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406825

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Intelligent System Algorithms and Applications in Science and Technology by Sunil Pathak,Pramod Kumar Bhatt,Sanjay Kumar Singh,Ashutosh Tripathi,Pankaj Kumar Pandey Pdf

The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This volume explores the application of intelligent techniques in various fields of engineering and technology. It addresses diverse topics in such areas as machine learning-based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and healthcare monitoring, smart irrigation systems, insurance and banking, robotics and process control, and more.

Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems

Author : Uddin, M. Irfan,Mashwani, Wali Khan
Publisher : IGI Global
Page : 307 pages
File Size : 42,7 Mb
Release : 2024-02-26
Category : Computers
ISBN : 9798369317396

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Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems by Uddin, M. Irfan,Mashwani, Wali Khan Pdf

The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.

Multiple Approaches to Intelligent Systems

Author : Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali
Publisher : Springer
Page : 904 pages
File Size : 46,7 Mb
Release : 1999-05-21
Category : Computers
ISBN : 3540660763

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Multiple Approaches to Intelligent Systems by Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali Pdf

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.

Advances in Intelligent Systems Research and Innovation

Author : Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 489 pages
File Size : 44,5 Mb
Release : 2021-11-03
Category : Technology & Engineering
ISBN : 9783030781248

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Advances in Intelligent Systems Research and Innovation by Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk Pdf

This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

Intelligent Systems for Engineers and Scientists

Author : Adrian A. Hopgood
Publisher : CRC Press
Page : 515 pages
File Size : 47,5 Mb
Release : 2021-12-09
Category : Technology & Engineering
ISBN : 9781000484106

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Intelligent Systems for Engineers and Scientists by Adrian A. Hopgood Pdf

The fourth edition of this bestselling textbook explains the principles of artificial intelligence (AI) and its practical applications. Using clear and concise language, it provides a solid grounding across the full spectrum of AI techniques, so that its readers can implement systems in their own domain of interest. The coverage includes knowledge-based intelligence, computational intelligence (including machine learning), and practical systems that use a combination of techniques. All the key techniques of AI are explained—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic algorithms and other optimization techniques, shallow and deep neural networks, hybrids, and the Lisp, Prolog, and Python programming languages. The book also describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. Fully updated and revised, Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Fourth Edition features: A new chapter on deep neural networks, reflecting the growth of machine learning as a key technique for AI A new section on the use of Python, which has become the de facto standard programming language for many aspects of AI The rule-based and uncertainty-based examples in the book are compatible with the Flex toolkit by Logic Programming Associates (LPA) and its Flint extension for handling uncertainty and fuzzy logic. Readers of the book can download this commercial software for use free of charge. This resource and many others are available at the author’s website: adrianhopgood.com. Whether you are building your own intelligent systems, or you simply want to know more about them, this practical AI textbook provides you with detailed and up-to-date guidance.

Building Intelligent Systems

Author : Geoff Hulten
Publisher : Apress
Page : 339 pages
File Size : 54,9 Mb
Release : 2018-03-07
Category : Computers
ISBN : 1484234316

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Building Intelligent Systems by Geoff Hulten Pdf

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems

Intelligent Systems for Engineering

Author : Ram D. Sriram
Publisher : Springer Science & Business Media
Page : 843 pages
File Size : 48,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447106319

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Intelligent Systems for Engineering by Ram D. Sriram Pdf

When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities.

Hybrid Intelligent Systems

Author : Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
Publisher : Springer Nature
Page : 817 pages
File Size : 42,7 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9783030730505

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Hybrid Intelligent Systems by Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong Pdf

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 738 pages
File Size : 41,5 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781643682259

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Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III by A.J. Tallón-Ballesteros Pdf

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.

Intelligent Systems

Author : Amit Sheth,Amit Sinhal,Abhinav Shrivastava,Amit Kumar Pandey
Publisher : Springer Nature
Page : 492 pages
File Size : 48,5 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9789811622489

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Intelligent Systems by Amit Sheth,Amit Sinhal,Abhinav Shrivastava,Amit Kumar Pandey Pdf

This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.

New Frontiers in Applied Artificial Intelligence

Author : Ngoc Thanh Nguyen
Publisher : Springer Science & Business Media
Page : 896 pages
File Size : 50,8 Mb
Release : 2008-06-03
Category : Computers
ISBN : 9783540690450

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New Frontiers in Applied Artificial Intelligence by Ngoc Thanh Nguyen Pdf

This book constitutes the refereed proceedings of the 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, held in Wroclaw, Poland, in June 2008. The 75 revised full papers presented were carefully reviewed and selected from 302 submissions. The papers are organized in topical sections on computer vision, fuzzy system applications, robot and manufacturing, data mining and KDS, neural networks, machine learning, natural language processing, internet application and education, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. The book concludes with 15 contributions from the following special sessions: knowledge driven manufacturing systems, joint session on adaptive networked systems and fuzzy knowledge bases, and software agents and multi-agent systems.