Intelligent Methods And Big Data In Industrial Applications

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Intelligent Methods and Big Data in Industrial Applications

Robert Bembenik,Łukasz Skonieczny,Grzegorz Protaziuk,Marzena Kryszkiewicz,Henryk Rybinski
Intelligent Methods and Big Data in Industrial Applications Book PDF

Author : Robert Bembenik,Łukasz Skonieczny,Grzegorz Protaziuk,Marzena Kryszkiewicz,Henryk Rybinski
Publisher : Springer
Page : 376 pages
File Size : 54,9 Mb
Release : 2018-05-18
Category : Technology & Engineering
ISBN : 9783319776040

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Intelligent Methods and Big Data in Industrial Applications by Robert Bembenik,Łukasz Skonieczny,Grzegorz Protaziuk,Marzena Kryszkiewicz,Henryk Rybinski Pdf

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Machine Learning and Artificial Intelligence with Industrial Applications

Diego Carou,Antonio Sartal,J. Paulo Davim
Machine Learning and Artificial Intelligence with Industrial Applications Book PDF

Author : Diego Carou,Antonio Sartal,J. Paulo Davim
Publisher : Springer Nature
Page : 216 pages
File Size : 42,7 Mb
Release : 2022-03-11
Category : Technology & Engineering
ISBN : 9783030910068

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Machine Learning and Artificial Intelligence with Industrial Applications by Diego Carou,Antonio Sartal,J. Paulo Davim Pdf

This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Öner, Sultan Ceren,Yüregir, Oya H.
Optimizing Big Data Management and Industrial Systems With Intelligent Techniques Book PDF

Author : Öner, Sultan Ceren,Yüregir, Oya H.
Publisher : IGI Global
Page : 238 pages
File Size : 42,5 Mb
Release : 2018-12-07
Category : Computers
ISBN : 9781522551386

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Optimizing Big Data Management and Industrial Systems With Intelligent Techniques by Öner, Sultan Ceren,Yüregir, Oya H. Pdf

In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete
Data Analytics and Computational Intelligence Novel Models Algorithms and Applications Book PDF

Author : Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete
Publisher : Springer Nature
Page : 597 pages
File Size : 53,6 Mb
Release : 2023-10-20
Category : Computers
ISBN : 9783031383250

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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by Gilberto Rivera,Laura Cruz-Reyes,Bernabé Dorronsoro,Alejandro Rosete Pdf

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Big Data Applications in Industry 4.0

P. Kaliraj,T. Devi
Big Data Applications in Industry 4 0 Book PDF

Author : P. Kaliraj,T. Devi
Publisher : CRC Press
Page : 446 pages
File Size : 46,9 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000537666

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Big Data Applications in Industry 4.0 by P. Kaliraj,T. Devi Pdf

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Big Data Analytics in Smart Manufacturing

P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma
Big Data Analytics in Smart Manufacturing Book PDF

Author : P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma
Publisher : CRC Press
Page : 205 pages
File Size : 41,8 Mb
Release : 2022-12-14
Category : Computers
ISBN : 9781000815740

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Big Data Analytics in Smart Manufacturing by P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma Pdf

The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

Intelligent Analytics With Advanced Multi-Industry Applications

Sun, Zhaohao
Intelligent Analytics With Advanced Multi Industry Applications Book PDF

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 392 pages
File Size : 44,8 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799849643

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Intelligent Analytics With Advanced Multi-Industry Applications by Sun, Zhaohao Pdf

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

Managerial Perspectives on Intelligent Big Data Analytics

Sun, Zhaohao
Managerial Perspectives on Intelligent Big Data Analytics Book PDF

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 335 pages
File Size : 50,5 Mb
Release : 2019-02-22
Category : Computers
ISBN : 9781522572787

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Managerial Perspectives on Intelligent Big Data Analytics by Sun, Zhaohao Pdf

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Cognitive Computing and Big Data Analytics

Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Cognitive Computing and Big Data Analytics Book PDF

Author : Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 41,5 Mb
Release : 2015-02-12
Category : Computers
ISBN : 9781118896631

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Cognitive Computing and Big Data Analytics by Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles Pdf

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Artificial Intelligence and Industrial Applications

Tawfik Masrour,Ibtissam El Hassani,Noureddine Barka
Artificial Intelligence and Industrial Applications Book PDF

Author : Tawfik Masrour,Ibtissam El Hassani,Noureddine Barka
Publisher : Springer Nature
Page : 318 pages
File Size : 48,6 Mb
Release : 2023-10-16
Category : Technology & Engineering
ISBN : 9783031435249

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Artificial Intelligence and Industrial Applications by Tawfik Masrour,Ibtissam El Hassani,Noureddine Barka Pdf

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Artificial Intelligence, Big Data and Data Science in Statistics

Ansgar Steland,Kwok-Leung Tsui
Artificial Intelligence Big Data and Data Science in Statistics Book PDF

Author : Ansgar Steland,Kwok-Leung Tsui
Publisher : Springer Nature
Page : 378 pages
File Size : 47,8 Mb
Release : 2022-11-15
Category : Mathematics
ISBN : 9783031071553

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Artificial Intelligence, Big Data and Data Science in Statistics by Ansgar Steland,Kwok-Leung Tsui Pdf

This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply machine learning methods, demonstrating the benefits of statistics for modeling and analyzing high-dimensional and big data. The book’s expert contributions include theoretical studies of machine learning methods, expositions of general methodologies for sound statistical analyses of data as well as novel approaches to modeling and analyzing data for specific problems and areas. In terms of applications, the contributions deal with data as arising in industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and data scientists, as well as engineers and computer scientists working in related fields or applications.

Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Sun, Zhaohao,Wu, Zhiyou
Handbook of Research on Foundations and Applications of Intelligent Business Analytics Book PDF

Author : Sun, Zhaohao,Wu, Zhiyou
Publisher : IGI Global
Page : 425 pages
File Size : 51,8 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799890188

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Handbook of Research on Foundations and Applications of Intelligent Business Analytics by Sun, Zhaohao,Wu, Zhiyou Pdf

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Industrial Applications of Big Data, AI, and Blockchain

El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam
Industrial Applications of Big Data AI and Blockchain Book PDF

Author : El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam
Publisher : IGI Global
Page : 366 pages
File Size : 52,9 Mb
Release : 2024-01-29
Category : Business & Economics
ISBN : 9798369310472

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Industrial Applications of Big Data, AI, and Blockchain by El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam Pdf

Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Innovations in Computational Intelligence Big Data Analytics and Internet of Things Book PDF

Author : Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Publisher : IAP
Page : 385 pages
File Size : 47,9 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9798887305615

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Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi Pdf

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Machine Intelligence, Big Data Analytics, and IoT in Image Processing

Ashok Kumar,Megha Bhushan,Jose A. Galindo,Lalit Garg,Yu-Chen Hu
Machine Intelligence Big Data Analytics and IoT in Image Processing Book PDF

Author : Ashok Kumar,Megha Bhushan,Jose A. Galindo,Lalit Garg,Yu-Chen Hu
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 50,9 Mb
Release : 2023-02-14
Category : Technology & Engineering
ISBN : 9781119865490

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Machine Intelligence, Big Data Analytics, and IoT in Image Processing by Ashok Kumar,Megha Bhushan,Jose A. Galindo,Lalit Garg,Yu-Chen Hu Pdf

MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.