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Industrial System Engineering for Drones: A Guide with Best Practices for Designing
by Neeraj Kumar Singh Porselvan Muthukrishnan Satyanarayana SanpiniExplore a complex mechanical system where electronics and mechanical engineers work together as a cross-functional team. Using a working example, this book is a practical “how to” guide to designing a drone system.As system design becomes more and more complicated, systematic, and organized, there is an increasingly large gap in how system design happens in the industry versus what is taught in academia. While the system design basics and fundamentals mostly remain the same, the process, flow, considerations, and tools applied in industry are far different than that in academia. Designing Drone Systems takes you through the entire flow from system conception to design to production, bridging the knowledge gap between academia and the industry as you build your own drone systems.What You’ll LearnGain a high level understanding of drone systemsDesign a drone systems and elaborating the various aspects and considerations of designReview the principles of the industrial system design process/flow, and the guidelines for drone systemsLook at the challenges, limitations, best practices, and patterns of system designWho This Book Is ForPrimarily for beginning or aspiring system design experts, recent graduates, and system design engineers. Teachers, trainers, and system design mentors can also benefit from this content.
Industrial Vision Systems with Raspberry Pi: Build and Design Vision products Using Python and OpenCV (Maker Innovations Series)
by G. Anand K. Mohaideen Abdul KadharToday’s industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components’ orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi.You’ll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You’ll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. Algorithms and image processing techniques are also discussed, along with machine learning and deep learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. By the end of the book, you’ll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.What You'll LearnBuild and deploy industrial vision system using Raspberry Pi and Python programmingExplore computer vision techniques using Raspberry Pi and OpenCVImplement popular vision techniques for industrial applications in real timeReview modern image processing techniques such as image segmentation, thresholding, and contoursWho This Book Is ForRaspberry Pi and Python enthusiasts interested in computer vision applications; educators, industrialists, and industrial solution providers who want to design vision-based testing products with the help of Raspberry Pi
Industrial Wireless Sensor Networks: Applications, Protocols, and Standards (Industrial Electronics)
by V. Çağri Güngör Gerhard P. Hancke.The collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent processing. In this regard, IWSNs play a vital role in creating more reliable, efficient, and productive industrial systems, thus improving companies’ competitiveness in the marketplace. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards examines the current state of the art in industrial wireless sensor networks and outlines future directions for research. What Are the Main Challenges in Developing IWSN Systems? Featuring contributions by researchers around the world, this book explores the software and hardware platforms, protocols, and standards that are needed to address the unique challenges posed by IWSN systems. It offers an in-depth review of emerging and already deployed IWSN applications and technologies, and outlines technical issues and design objectives. In particular, the book covers radio technologies, energy harvesting techniques, and network and resource management. It also discusses issues critical to industrial applications, such as latency, fault tolerance, synchronization, real-time constraints, network security, and cross-layer design. A chapter on standards highlights the need for specific wireless communication standards for industrial applications. A Starting Point for Further Research Delving into wireless sensor networks from an industrial perspective, this comprehensive work provides readers with a better understanding of the potential advantages and research challenges of IWSN applications. A contemporary reference for anyone working at the cutting edge of industrial automation, communication systems, and networks, it will inspire further exploration in this promising research area.
Industrial and Engineering Applications or Artificial Intelligence and Expert Systems
by Takushi Tanaka; Setsuo Ohsuga; Moonis AliThis volume includes the proceedings from Proceedings of the Ninth International Conference Fukuoka, Japan, June 4-7, 1996. This work represents a broad spectrum of new ideas in the field of applied artificial intelligence and expert systems, and serves to disseminate information regarding intelligent methodologies and their implementation in solving various problems in industry and engineering.
Industrial and Laboratory Measuring Systems: Sensors, Distributed, Modular and Wireless Systems (River Publishers Series in Energy Management)
by Josef VedralThis book describes the types and properties of computer controlled industrial and laboratory measuring systems for data acquisition and the processing signals of typical physical sensors. It is intended for users and designers of digital measurement systems working in laboratories and industry, scientific and research environments, and students taking relevant courses.An overview of the properties of these sensors used in laboratory and industrial environments is provided. The chapters describe the properties of computers used in measurement systems, including plug-in cards and the IEEE-488 protocol. The following chapters describe the types and properties of distributed and modular measuring systems and systems using data networks, including wireless measuring systems. The final chapters describe methods of digitization, reconstruction and signal processing in measurement systems in time and frequency domains.
Industrial and Logistics Systems Design and Efficient Operation: Cyber Physical Production and Logistics Systems (Lecture Notes in Networks and Systems #1332)
by Rachid Benmoussa Touria Benazzouz Samya DahbiThis book aims to provide recent achievements in the efficient design and operation of industrial and logistics systems. To achieve excellence, digital transformation is currently an essential path for systems reengineering. This path is still in an exploratory phase for industrial and logistics systems, as they cover a wide range of sectors and are composed of several complementary views.Thus, this book reconciles classic methods with modern ones based on digital transformation and Industry 4.0 technologies, which aim to optimize, improve, restructure, and evaluate a broad scope of systems, focusing on their four complementary views: operational, informational, technological, and decisional.It is intended for researchers and postgraduates in industrial engineering and logistics, professionals in senior management positions in industrial and logistics companies, as well as undergraduates in industrial and logistics engineering programs.
Industrializing Financial Services with DevOps: Proven 360℃ DevOps operating model practices for enabling a multi-speed bank
by Spyridon ManiotisEmbrace best practices to advance and help evolve your DevOps operating model in the right direction and overcome common challenges that financial services organizations face.Purchase of the print or kindle book includes a free eBook in the PDF format.Key FeaturesDesign the right DevOps operating model for your organization through practical examplesGet insights into a variety of proven practices and concepts that you can employ during your DevOps adoptionGain a holistic view of the complete DevOps capabilities and mechanisms to be enabledBook DescriptionIn recent years, large financial services institutions have been embracing the concept of DevOps in the core of their digital transformation strategies. This book is inspired by real enterprise DevOps adoptions in the financial services industry and provides a comprehensive proven practice guide on how large corporate organizations can evolve their DevOps operating model.The book starts by outlining the fundamentals comprising a complete DevOps operating model. It continues with a zoom in on those fundamentals, combining adoption frameworks with real-life examples. You'll cover the three main themes underpinning the book's approach that include the concepts of 360℃, at relevance, and speeds. You'll explore how a bank's corporate and technology strategy links to its enterprise DevOps evolution. The book also provides a rich array of proven practices on how to design and create a harmonious 360℃ DevOps operating model which should be enabled and adopted at relevance in a multi-speed context. It comes packed with real case studies and examples from the financial services industry that you can adopt in your organization and context.By the end of this book, you will have plenty of inspiration that you can take back to your organization and be able to apply the learning from pitfalls and success stories covered in the book.What you will learnUnderstand how a firm's corporate strategy can be translated to a DevOps enterprise evolutionEnable the pillars of a complete DevOps 360℃ operating modelAdopt DevOps at scale and at relevance in a multi-speed contextImplement proven DevOps practices that large incumbents banks followDiscover core DevOps capabilities that foster the enterprise evolutionSet up DevOps CoEs, platform teams, and SRE teamsWho this book is forThis book is for DevOps practitioners, banking technologists, technology managers, business directors and transformation leads. Prior knowledge of fundamental DevOps terminologies and concepts and some experience practicing DevOps in large organizations will help you make the most out of this book.
Industrie 4.0, China 2025, IoT: Der Hype um die Welt der Automatisierung
by Wolfgang BabelDas Buch beschreibt die Meilensteine der Automatisierung vom Beginn der Ethernet- und der Feldbus-Systementwicklungen sowie die Entstehung des OSI Modells und der Automatisierungspyramide. Es bietet einen Fokus auf die Entwicklung von Feldgeräten und Automatisierungskomponenten im Rahmen der Einflussnahme von Elektronik-, µ-Controller- DSP-, FPGA-, Multi-Core-Prozessoren- und Chip-on-Bond-Entwicklungen sowie Software und Algorithmen.
Industrie 4.0: Beherrschung der industriellen Komplexität mit SysLM
by Ulrich SendlerDie nächste Stufe der industriellen Entwicklung, Industrie 4.0, erfordert die Beherrschung multidisziplinärer Entwicklung und Produktion komplexer, intelligenter Systeme. Unsere Industrie ist darauf nicht vorbereitet. Organisation, Prozesse, Management - alles ist ausgerichtet auf Produkte mit nur geringem Softwareanteil. Die Unternehmenslenker müssen ganzheitliche Strategien entwickeln. Eine einfache Verbesserung einzelner Teile des Unternehmens reicht nicht aus. Neben einer allgemeinen Analyse der Situation und der daraus resultierenden Herausforderungen kommen herausragende Vertreter aus Wirtschaft und Wissenschaft zu Wort, die das Thema aus ihrer jeweiligen Sicht beleuchten.
Industrielle Automatisierungs- und Informationstechnik: IT-Architekturen, Kommunikation und Software zur Systemgestaltung
by Michael WeyrichDas Lehrbuch vermittelt Kenntnisse von Automatisierungssystemen, deren Komponenten und Strukturen. Dabei spielen heute Aspekte der Kommunikation und Echtzeitverarbeitung sowie der Zuverlässigkeit und Qualität von Soft- und Hardware eine wichtige Rolle. Zahlreiche Anwendungsbeispiele unterstützen den Lernerfolg.
Industrielle Datenanalyse: Entwicklung einer Datenanalyse-Plattform für die wertschaffende, kompetenzorientierte Kollaboration in dynamischen Wertschöpfungsnetzwerken
by Jochen Deuse Ralf Klinkenberg Nikolai WestDieses Open Buch schlägt eine Brücke zwischen Theorie und Praxis für das produzierende Gewerbe im Zeitalter der Digitalisierung, der Industrie 4.0 und der Künstlichen Intelligenz. Es ist das Resultat eines vierjährigen Forschungsprojekts, das unter der Leitung des Instituts für Produktionssysteme der Technischen Universität Dortmund und der RapidMiner GmbH in Zusammenarbeit mit zwölf weiteren Partnern durchgeführt wurde. Das Hauptziel des Projekts war die Entwicklung einer Datenanalyse-Plattform zur Förderung einer effektiven und kompetenzorientierten Zusammenarbeit in dynamischen Wertschöpfungsnetzwerken.Die zwanzig Beiträge in diesem Sammelband liefern umfassende Einblicke in die Forschungsergebnisse und schildern die gemeinsamen Erfahrungen der Partner aus produzierenden Unternehmen, Software- und Hardware-Anbietern sowie Forschungseinrichtungen. Im Fokus steht die Entwicklung von Lösungen, die in einem modularen Referenzbaukasten zusammengefasst sind. Dieser Baukasten unterstützt industrielle Datenanalysen und deren Integration in betriebliche Abläufe. Er fördert darüber hinaus eine kompetenzorientierte Zusammenarbeit und ermöglicht somit die Initiierung neuer Geschäftsmodelle und Kollaborationen.Das Buch richtet sich an Praktiker:innen aus der Industrie ebenso wie an Wissenschaftler:innen. Es liefert Impulse und bietet Hilfestellungen, um den Herausforderungen der digitalen Transformation zu begegnen und die Zukunft der industriellen Datenanalyse erfolgreich zu gestalten.
Industrielle Dienstleistungen 4.0: HMD Best Paper Award 2015 (essentials)
by Matthias M. Herterich Falk Uebernickel Walter BrennerAuf Basis empirischer Daten von 45 konkreten Anwendungsfällen identifiziert dieses essential Nutzenpotentiale cyber-physischer Systeme im Kontext industrieller Dienstleistungen. Die Autoren nennen Implikationen und Handlungsempfehlungen für die Unternehmenspraxis. Die Leser erfahren, wie die fortschreitende Digitalisierung und der geschickte Einsatz cyber-physischer Systeme das Dienstleistungsgeschäft der produzierenden Industrie sowie im Maschinen- und Anlagenbau transformieren. Damit ergeben sich einerseits neue Möglichkeiten zur Effizienzsteigerung bereits bestehender Prozesse. Andererseits eröffnen sich bisher ungeahnte Möglichkeiten zur Umsetzung innovativer, datengetriebener industrieller Dienstleistungen.
Industrielle Robotersysteme: Entscheiderwissen für die Planung und Umsetzung wirtschaftlicher Roboterlösungen
by Thomas Dietz Andreas PottDieses Buch bietet eine Einführung in die Grundlagen des industriellen Robotereinsatzes und vermittelt Praxiswissen im Hinblick auf Planung, Umsetzung und Betrieb von Robotersystemen. Roboter haben sich als zuverlässige Werkzeuge in der Automatisierung bewährt. Sie sind in vielen Industriebereichen für die wirtschaftliche Produktion unentbehrlich. Die erweiterten Einsatzmöglichkeiten verursachen allerdings auch einen erheblichen Integrationsbedarf auf dem Weg vom »nackten« Roboter zu einer maßgeschneiderten Roboterlösung. Zur Auswahl der passenden Roboterlösung und zur effektiven Kommunikation mit Lieferanten und Kunden sind technisches Basiswissen, die Grundbegriffe der Robotik und ein umfassender Marktüberblick unverzichtbar. Die Autoren vermitteln praxisnah die notwendigen Grundlagen, um informierte Entscheidungen bei der Umsetzung von Robotersystemen zu treffen.
Industry 4.0
by Alasdair GilchristExplore the current state of the production, processing, and manufacturing industries and discover what it will take to achieve re-industrialization of the former industrial powerhouses that can counterbalance the benefits of cheap labor providers dominating the industrial sector. This book explores the potential for the Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Smart Factory technologies to replace the still largely mechanical, people-based systems of offshore locations. Industry 4. 0: The Industrial Internet of Things covers Industry 4. 0, a term that encapsulates trends and technologies that could rewrite the rules of manufacturing and production. What you'll learn What are the Industrial Internet and Industrial Internet of Things Which technologies must advance to enable Industry 4. 0 What is happening today to make that happen What are examples of the implementation of Industry 4. 0 How to apply some of these case studies What is the potential to take back the lead in manufacturing, and the potential fallout that could result Who this book is for Business futurists, business strategists, CEOs and CTOs, and anyone with an interest and an IT or business background; or anyone who may have a keen interest in how the future of IT, industry and production will develop over the next two decades.
Industry 4.0 A Way to Achieve Occupational Health and Safety (Studies in Systems, Decision and Control #575)
by Arturo Realyvásquez-Vargas Suchismita Satapathy Meghana MishraThis book consists of advances in data intelligence and its applications in sustainable computing and explores challenges of Industry 4.0. Occupational health and safety is a problem faced by many industries. It effects health, safety, and also wellbeing of employees and workers engaged. Industry 4.0 has changed the total scenario of many industries. Safety and sustainability are two major problems with most industries and other emerging sectors. So, safety is a most important criterion and is often taken care of by framing and following safety policies. Soft computing methods are used to resolve all innovative and research problems in engineering, manufacturing, and business management areas. Much innovative design and sustainable solutions are resolved by IoT and AI techniques. Any troublesome work without hard labor and with easy approaches can be resolved by IoT, which is safer and can be learned quickly. It will help research and find a significant replacement with innovative solutions to any technical and business-related problems. A huge and developing number of producers acknowledge generous monetary and natural advantages from feasible strategic policies. Manageable assembling makes items through financially strong cycles that limit adverse ecological effects while moderating energy and regular assets. Sustainable manufacturing also enhances employee, community, and product safety. A developing number of organizations are treating sustainability as a significant goal in their procedure and activities to build development and worldwide intensity practices in every place of manufacturing industries. Automation systems usually make workplaces safer by keeping people out of dangerous situations. They also encourage inclusion by substituting less physically demanding computer-based monitoring activities with jobs requiring strength or agility. The shift from a physically oriented to a knowledge-based work environment substitutes more intellectual, decentralised decision-making stresses for workplace problems like repeated actions.
Industry 4.0 Driven Manufacturing Technologies (Springer Series in Advanced Manufacturing)
by Yang Liu Ajay Kumar Parveen KumarThis book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology. With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production. Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book. The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.
Industry 4.0 Technologies for Education: Transformative Technologies and Applications
by P. Kaliraj T. DeviThe transformative digital technologies developed for Industry 4.0 are proving to be disruptive change drivers in higher education. Industry 4.0 technologies are forming the basis of Education 4.0. Industry 4.0 Technologies for Education: Transformative Technologies and Applications examines state-of-the-art tools and technologies that comprise Education 4.0. Higher education professionals can turn to this book to guide curriculum development aimed at helping produce the workforce for Industry 4.0. The book discusses the tools and technologies required to make Education 4.0 a reality. It covers online content creation, learning management systems, and tools for teaching, learning, and evaluating. Also covered are disciplines that are being transformed by Industry 4.0 and form the core of Education 4.0 curricula. These disciplines include social work, finance, medicine, and healthcare. Mobile technologies are critical components of Industry 4.0 as well as Education 4.0. The book looks at the roles of the Internet of Things (IoT), 5G, and cloud applications in creating the Education 4.0 environment. Highlights of the book include: Technological innovations for virtual classrooms to empower students Emerging technological advancements for educational institutions Online content creation tools Moodle as a teaching, learning, and evaluation tool Gamification in higher education A design thinking approach to developing curriculum in Education 4.0 Industry 4.0 for Service 4.0 and Research 4.0 as a framework for higher education institutions Eye-tracking technology for Education 4.0 The challenges and issues of the Internet of Things (IoT) in teaching and learning
Industry 4.0 Technologies: Volume 1—Theory, Challenges, and Opportunity (Environmental Footprints and Eco-design of Products and Processes)
by Vikas Kumar Rahul S. Mor Sonu Rajak Almoayied Assayed K E K VimalThis book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.
Industry 4.0 Technologies: Volume II - Methods for transition and trends (Environmental Footprints and Eco-design of Products and Processes)
by Vikas Kumar K. E. K. Vimal Rahul S. Mor Sonu Rajak Almoayied AssayedThis book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.
Industry 4.0 and Advanced Manufacturing: Proceedings of I-4AM 2019 (Lecture Notes in Mechanical Engineering)
by Amaresh Chakrabarti Manish AroraThis book presents selected papers from the 1st International Conference on Industry 4.0 and Advanced Manufacturing held at the Indian Institute of Science, Bangalore and includes deliberations from stakeholders in manufacturing and Industry 4.0 on the nature, needs, challenges, opportunities, problems, and solutions in these transformational areas. Special emphasis is placed on exploring avenues for creating a vision of, and enablers for, sustainable, affordable, and human-centric Industry 4.0. The book showcases cutting edge practice, research, and educational innovation in this crucial and rapidly evolving area. This book will be useful to researchers in academia and industry, and will also be useful to policymakers involved in creating ecosystems for implementation of Industry 4.0.
Industry 4.0 and Healthcare: Impact of Artificial Intelligence (Advanced Technologies and Societal Change)
by Jerry Chun-Wei Lin Ashish MishraThis book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.
Industry 4.0 and the Digital Transformation of International Business
by Vikas Garg Gurinder Singh Richa GoelThe book throws light on the ongoing trends in international business, integration of information technology with global businesses, its role in value co-creation, resource integration, and service for service exchange. While discussing the issues of these areas, chapters of this book also delve into prevalent problematic areas which are closely related like employment, ethical aspects, power creation, and so on. Recognizing the role digitization and new technologies play in enabling global managers to communicate with outside world directly via digital channels irrespective of their location (which is especially true in time of COVID-19), the book takes an emerging economy perspective and throws light on new theories, perceptions, employment opportunities, and innovative ideas through its content. The book not only discusses effects of information technology but also the latest emerging technology in global business like use of artificial intelligence, robotics, machine learning, big data, and their integration with the global business 4.0. Since emergence of these new technologies requires proper infrastructural development, the book also throws light on government initiatives and CSR in this respect. It contains takeaways for both undergraduate and graduate students, researchers and academicians, industry watchers, practitioners, start-ups, and entrepreneurs
Industry 4.0 for SMEs: Challenges, Opportunities and Requirements
by Dominik T. Matt Vladimír Modrák Helmut ZsifkovitsThis open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
Industry 4.0 with Modern Technology: Proceedings of the International Conference on Emerging trends in Engineering and Technology, Industry 4.0 (ETETI-2023)
by Mufti Mahmud North Carolina Sujit Kumar Pradhan Rabinarayan SethiThis volume contains the papers presented at International Conference on Emerging Trends in Engineering and Technology-Industry 4.0 (ETETI-2023) being organized by the prestigious Indira Gandhi Institute of Technology, Sarang (An Autonomous institute of Govt of Odisha), India, during 6th and 7th May 2023.
Industry 4.0, AI, and Data Science: Research Trends and Challenges (Demystifying Technologies for Computational Excellence)
by Vikram BaliThe aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.