Challenges And Opportunities For Deep Learning Applications In Industry 4 0

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Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Dolly Sharma,Monika Mangla,Anita Gehlot
Challenges and Opportunities for Deep Learning Applications in Industry 4 0 Book PDF

Author : Dolly Sharma,Monika Mangla,Anita Gehlot
Publisher : Bentham Science Publishers
Page : 0 pages
File Size : 40,9 Mb
Release : 2022-10-05
Category : Computers
ISBN : 9815036084

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Challenges and Opportunities for Deep Learning Applications in Industry 4.0 by Dolly Sharma,Monika Mangla,Anita Gehlot Pdf

The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated challenges and opportunities it presents for automating industrial processes and smart applications. Chapters introduce the reader to a broad range of topics in deep learning and machine learning. Several deep learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. The book also discusses prospective research directions that focus on the theory and practical applications of deep learning in industrial automation. Therefore, the book aims to serve as a comprehensive reference guide for industrial consultants interested in industry 4.0, and as a handbook for beginners in data science and advanced computer science courses.

Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Vaishali Mehta
Challenges and Opportunities for Deep Learning Applications in Industry 4 0 Book PDF

Author : Vaishali Mehta
Publisher : Bentham Science Publishers
Page : 229 pages
File Size : 45,6 Mb
Release : 2022-10-05
Category : Computers
ISBN : 9789815036077

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Challenges and Opportunities for Deep Learning Applications in Industry 4.0 by Vaishali Mehta Pdf

The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated challenges and opportunities it presents for automating industrial processes and smart applications. Chapters introduce the reader to a broad range of topics in deep learning and machine learning. Several deep learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. The book also discusses prospective research directions that focus on the theory and practical applications of deep learning in industrial automation. Therefore, the book aims to serve as a comprehensive reference guide for industrial consultants interested in industry 4.0, and as a handbook for beginners in data science and advanced computer science courses.

Innovations in Machine and Deep Learning

Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez
Innovations in Machine and Deep Learning Book PDF

Author : Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez
Publisher : Springer Nature
Page : 506 pages
File Size : 47,5 Mb
Release : 2023-11-04
Category : Computers
ISBN : 9783031406881

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Innovations in Machine and Deep Learning by Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez Pdf

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.

Industry 4.0, AI, and Data Science

Vikram Bali,Kakoli Banerjee,Narendra Kumar,Sanjay Gour,Sunil Kumar Chawla
Industry 4 0 AI and Data Science Book PDF

Author : Vikram Bali,Kakoli Banerjee,Narendra Kumar,Sanjay Gour,Sunil Kumar Chawla
Publisher : CRC Press
Page : 283 pages
File Size : 46,8 Mb
Release : 2021-07-20
Category : Computers
ISBN : 9781000413458

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Industry 4.0, AI, and Data Science by Vikram Bali,Kakoli Banerjee,Narendra Kumar,Sanjay Gour,Sunil Kumar Chawla Pdf

Highlights research trends, challenges and the future of AI in Data Science Explores the potential for integration of advance AI algorithms Addresses the challenges of Data Science for Industry 4.0 Covers security issues of Data Science in the latest technologies Includes both qualitative and quantitative research, case studies, and working models

Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0

Vikram Bali,Vishal Bhatnagar,Deepti Aggarwal,Shivani Bali,Mario José Diván
Cyber Physical IoT and Autonomous Systems in Industry 4 0 Book PDF

Author : Vikram Bali,Vishal Bhatnagar,Deepti Aggarwal,Shivani Bali,Mario José Diván
Publisher : CRC Press
Page : 418 pages
File Size : 50,7 Mb
Release : 2021-12-23
Category : Computers
ISBN : 9781000469424

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Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 by Vikram Bali,Vishal Bhatnagar,Deepti Aggarwal,Shivani Bali,Mario José Diván Pdf

This book addresses topics related to the Internet of Things (IoT), machine learning, cyber-physical systems, cloud computing, and autonomous vehicles in Industry 4.0. It investigates challenges across multiple sectors and industries and considers Industry 4.0 for operations research and supply chain management. Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 encourages readers to develop novel theories and enrich their knowledge to foster sustainability. It examines the recent research trends and the future of cyber-physical systems, IoT, and autonomous systems as they relate to Industry 4.0. This book is intended for undergraduates, postgraduates, academics, researchers, and industry individuals to explore new ideas, techniques, and tools related to Industry 4.0.

Industrial Applications of Machine Learning

Pedro Larrañaga,David Atienza,Javier Diaz-Rozo,Alberto Ogbechie,Carlos Esteban Puerto-Santana,Concha Bielza
Industrial Applications of Machine Learning Book PDF

Author : Pedro Larrañaga,David Atienza,Javier Diaz-Rozo,Alberto Ogbechie,Carlos Esteban Puerto-Santana,Concha Bielza
Publisher : CRC Press
Page : 336 pages
File Size : 55,9 Mb
Release : 2018-12-12
Category : Business & Economics
ISBN : 9781351128377

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Industrial Applications of Machine Learning by Pedro Larrañaga,David Atienza,Javier Diaz-Rozo,Alberto Ogbechie,Carlos Esteban Puerto-Santana,Concha Bielza Pdf

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka

Deep Neural Network Applications

Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok
Deep Neural Network Applications Book PDF

Author : Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok
Publisher : CRC Press
Page : 158 pages
File Size : 55,5 Mb
Release : 2022-04-28
Category : Computers
ISBN : 9780429556203

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Deep Neural Network Applications by Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok Pdf

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.

Artificial Intelligence and Industry 4.0

Aboul Ella Hassanien,Jyotir Moy Chatterjee,Vishal Jain
Artificial Intelligence and Industry 4 0 Book PDF

Author : Aboul Ella Hassanien,Jyotir Moy Chatterjee,Vishal Jain
Publisher : Academic Press
Page : 264 pages
File Size : 54,5 Mb
Release : 2022-08-14
Category : Technology & Engineering
ISBN : 9780323906395

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Artificial Intelligence and Industry 4.0 by Aboul Ella Hassanien,Jyotir Moy Chatterjee,Vishal Jain Pdf

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions

Application of Communication Computational Intelligence and Learning

Sangeeta Jadhav,Desai Rahul,Ashwini Sapkal
Application of Communication Computational Intelligence and Learning Book PDF

Author : Sangeeta Jadhav,Desai Rahul,Ashwini Sapkal
Publisher : Taylor & Francis
Page : 357 pages
File Size : 48,5 Mb
Release : 2022-06-21
Category : Computers
ISBN : 9781000781281

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Application of Communication Computational Intelligence and Learning by Sangeeta Jadhav,Desai Rahul,Ashwini Sapkal Pdf

The special issue is dedicated to National conference on Communication, computational intelligence and learning-NCCCIL sponsored by AICTE and organized by Department of Information Technology at Army Institute of Technology from 12–13 January 2022. This conference gave the collaborative forum to academic experts, researchers and corporate professionals to enrich their knowledge in the automation and analysis of industry and business processes in a smart way. The two day conference included invited talks and paper presentations focusing on the applications of Computational intelligence, Communication, Machine Learning and Artificial Intelligence.

Challenges and Opportunities of Corporate Governance Transformation in the Digital Era

Kuznetsov, Mikhail Yevgenievich,Nikishova, Maria Igorevna
Challenges and Opportunities of Corporate Governance Transformation in the Digital Era Book PDF

Author : Kuznetsov, Mikhail Yevgenievich,Nikishova, Maria Igorevna
Publisher : IGI Global
Page : 230 pages
File Size : 52,9 Mb
Release : 2019-12-27
Category : Business & Economics
ISBN : 9781799820130

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Challenges and Opportunities of Corporate Governance Transformation in the Digital Era by Kuznetsov, Mikhail Yevgenievich,Nikishova, Maria Igorevna Pdf

While corporate governance has been a successful concept throughout the centuries, it is in question whether this concept can remain sustainable in the digital era and during a time of technological and managerial disruption. Under the pressure of new economic, social, and ecologic challenges, it is vital to understand how this concept needs to transform. Challenges and Opportunities of Corporate Governance Transformation in the Digital Era is an essential reference source that discusses concepts, trends, and forecasts of corporate governance and examines its transformation under the pressure of new technologies and economic changes. Featuring research on topics such as corporate identity, e-commerce, and cost management, this book is ideally designed for corporate leaders, managers, executives, business professionals, consultants, professors, researchers, and students.

Applications in Electronics Pervading Industry, Environment and Society

Sergio Saponara,Alessandro De Gloria
Applications in Electronics Pervading Industry Environment and Society Book PDF

Author : Sergio Saponara,Alessandro De Gloria
Publisher : Springer Nature
Page : 340 pages
File Size : 46,8 Mb
Release : 2022-04-09
Category : Technology & Engineering
ISBN : 9783030954987

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Applications in Electronics Pervading Industry, Environment and Society by Sergio Saponara,Alessandro De Gloria Pdf

This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication and control. The volume is based on the 2021 ApplePies Conference, held online in September 2021, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean and efficient energy; the environment; and smart, green and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.

Food Industry 4.0

Abdo Hassoun
Food Industry 4 0 Book PDF

Author : Abdo Hassoun
Publisher : Elsevier
Page : 314 pages
File Size : 46,8 Mb
Release : 2024-04-15
Category : Medical
ISBN : 9780443155178

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Food Industry 4.0 by Abdo Hassoun Pdf

Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry Covers the most trend topics related to novel foods in the light of emerging innovations and developments Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors

Intelligent Analytics for Industry 4.0 Applications

Avinash Chandra Pandey,Abhishek Verma,Vijaypal Singh Rathor,Munesh Singh,Ashutosh Kumar Singh
Intelligent Analytics for Industry 4 0 Applications Book PDF

Author : Avinash Chandra Pandey,Abhishek Verma,Vijaypal Singh Rathor,Munesh Singh,Ashutosh Kumar Singh
Publisher : CRC Press
Page : 309 pages
File Size : 54,5 Mb
Release : 2023-06-06
Category : Business & Economics
ISBN : 9781000879094

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Intelligent Analytics for Industry 4.0 Applications by Avinash Chandra Pandey,Abhishek Verma,Vijaypal Singh Rathor,Munesh Singh,Ashutosh Kumar Singh Pdf

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry

Valentina Colla,Costanzo Pietrosanti
Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry Book PDF

Author : Valentina Colla,Costanzo Pietrosanti
Publisher : Springer Nature
Page : 166 pages
File Size : 44,7 Mb
Release : 2021-02-04
Category : Technology & Engineering
ISBN : 9783030693671

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Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry by Valentina Colla,Costanzo Pietrosanti Pdf

This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Raut, Roshani,Mihovska, Albena Dimitrova
Examining the Impact of Deep Learning and IoT on Multi Industry Applications Book PDF

Author : Raut, Roshani,Mihovska, Albena Dimitrova
Publisher : IGI Global
Page : 304 pages
File Size : 43,5 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799875178

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by Raut, Roshani,Mihovska, Albena Dimitrova Pdf

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.