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Margherita Pagani, "Artificial Intelligence for Sustainable Value Creation"
English | ISBN: 1839104384 | 2021 | 200 pages | PDF | 3 MB
Artificial Intelligence for Sustainable Value Creation provides a detailed and insightful exploration of both the possibilities and the challenges that accompany widespread Artificial Intelligence.

Providing a cutting edge analysis of the impact of AI in business and society, the editors offer an opportunity to assess what is known about managing other forms of information systems, strategy, and marketing, and to re-examine this knowledge in situations involving AI. This comprehensive book explores how human- centric AI systems create value inside organizations, distinguishing three main components: ethical value, societal value, and business value.
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Artificial Intelligence in Higher Education: A Contemporary Examination of Illich's Theories
English | 2025 | ISBN: 9819799880 | 195 Pages | PDF EPUB (True) | 1.2 MB
The book outlines the problems with current educational systems and discusses potential alternatives, considering the role of modern technology like AI. It employs a multi-disciplinary approach, incorporating historical analysis, philosophical inquiry, and practical considerations to explore Illich's critique. Readers will be equipped with the knowledge to critically assess the educational landscape and consider viable alternatives for reform.

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Artificial Intelligence in Management:
An Analysis of the Impact of AI on Product Change Management in the Medical Technology Industry
English | 2025 | ISBN: 3658467312 | 127 Pages | PDF EPUB (True) | 10 MB

In an era of constant global change, companies are challenged to adapt quickly to evolving consumer demands and technological innovations. However, the complexity of product changes in the medical technology industry is particularly high. Leveraging expertise of interview partners from Germany, Switzerland, Liechtenstein, and India, this book examines the perception of digital transformation within the medical technology industry and the increasing prominence of artificial intelligence as a transformative force. Thus, it provides a critical analysis of the potential opportunities for optimization and risks of integrating this technology into product change management in this sector, offering a comprehensive perspective for management practice.

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Andrzej Wodecki, "Artificial Intelligence in Management: Self-learning and Autonomous Systems as Key Drivers of Value Creation"
English | ISBN: 1839104945 | 2020 | 224 pages | PDF | 4 MB
Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments.

Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
Artificial Intelligence in Management will help project leaders, decision makers and investors evaluate new autonomous projects and will serve as an inspiring guide for future research.
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Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance by Richard J. Fickelscherer
English | February 21, 2024 | ISBN: 111982589X | 432 pages | MOBI | 10 Mb
Artificial Intelligence in Process Fault Diagnosis

A comprehensive guide to the future of process fault diagnosis
Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis.
Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing.
Artificial Intelligence in Process Fault Diagnosis readers will also find:Coverage of various AI-based diagnostic methodologies elaborated by leading expertsGuidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and moreComprehensive overview of optimized best practicesArtificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.

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Artificial Intelligence in Unreal Engine 5: Unleash the power of AI for next-gen game development with UE5 by using Blueprints and C++ by Marco Secchi
English | October 31, 2024 | ISBN: 1836205856 | 358 pages | EPUB | 15 Mb
Tap into the cutting-edge artificial intelligence features of Unreal Engine 5 and unlock their potential to craft captivating and engaging experiences in your games and applications in this part-color guide

Key FeaturesAdopt AI techniques for developing immersive gameplay experiencesLearn how to use the Unreal Engine gameplay framework system with C++ and BlueprintsPlan and develop AI behaviors carefully from start to finishPurchase of the print or Kindle book includes a free PDF eBookBook Description
Have you ever wondered how to create engaging gameplay experiences that involve formidable AI opponents, capable of challenging and pushing players to their limits? If the answer is yes, then get ready to enter the realm of AI creation with Unreal Engine 5.
Within the pages of this book, written by a brilliant author and game development expert, you'll find the secrets of Unreal Engine's cutting-edge AI framework. With this newfound knowledge, you'll be able to create immersive and dynamic gaming experiences. This step-by-step guide will teach you the art of crafting intelligent and responsive virtual opponents that challenge and engage players on a whole new level. As you follow along with practical examples, the book will guide you through the creation of fully functional AI systems. You'll be able to harness the power of behavior trees, NavMesh systems, and sensory perception models, breathing life into your virtual characters.
By the end of this book, you'll be equipped with the knowledge you need to unleash the full potential of AI in Unreal Engine. Get ready to revolutionize your gaming creations and captivate players with AI-driven wonders that push the boundaries of what's possible!
What you will learnDiscover the basics of AI development in video gamesGain a deep understanding of the main actors in the Unreal Engine AI frameworkDesign and develop engaging AI actors for a gameCreate dynamic and immersive AI experiences with behavior trees, navigation systems, MassEntity, and other AI featuresDebug AI systems using dedicated Unreal Engine debugging toolsExtend the AI system with custom nodes and functionsUnderstand how to cope with the AI system by employing Blueprints and/or C++Create games that focus on tactics, motion, and moreWho this book is for
This book is for game programmers, as well as Unreal Engine developers with little to no knowledge of AI systems in video games, who want to explore this topic in depth. Developers who are proficient in other game engines and are interested in understanding the principles of the Unreal AI framework will also benefit from this book. You'll need basic knowledge of Unreal Engine and C++ and a strong passion for game development to get the most out of this book.
Table of ContentsGetting Started with AI Game DevelopmentIntroducing the Unreal Engine AI SystemPresenting the Unreal Engine Navigation SystemSetting Up a Navigation MeshImproving Agent NavigationOptimizing the Navigation SystemIntroducing Behavior TreesSetting Up a Behavior TreeExtending Behavior TreesImproving Agents with the Perception SystemUnderstanding the Environment Query SystemUsing Hierarchical State Machines with State TreesImplementing Data-Oriented Calculations with MassImplementing Interactable Elements with Smart ObjectsAppendix - Understanding C++ in Unreal Engine

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Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps by Geraint Bevan and Kenneth Okedu Maamar Ali Saud Al Tobi
English | January 1, 2023 | ISBN: 0735423563 | 304 pages | PDF | 11 Mb
This important book offers a foundation for use of artificial intelligence (AI) in fault diagnosis and classification for centrifugal pumps. It outlines methods for operators to identify and classify faults that are not easily detectable using traditional techniques like time domain and frequency domain methods. It brings together different AI approaches that are integrated with Wavelet Transform (WT) and Genetic Algorithm (GA) into a single reference-making advanced diagnostic methods accessible to engineers who may not have a computer science background. Covering a wide range of AI applications for mechanical systems, the book: Advances readers from description of the problem to application of AI methods for diagnostics Outlines ways for operators to identify and classify faults that are not easily detectable using traditional techniques Offers new data from a novel experimental rig not previously available Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps is an ideal reference for academics, engineers, and industry professionals working in plant and operations maintenance. Undergraduate and graduate students of artificial intelligence systems will find this an invaluable reference.

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Artificial Intelligence Security and Privacy
English | 2025 | ISBN: 9819611474 | 191 Pages | PDF (True) | 15 MB
This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence Security and Privacy, AIS&P 2024, held in Guangzhou, China, during December 6-7, 2024.

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Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems:
System Protection and Data Analysis
English | 2025 | ISBN: 3031707745 | 161 Pages | PDF (True) | 7 MB

This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial intelligence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users' health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data.

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Artificial Intelligence, Optimization, and Data Sciences in Sports
English | 2025 | ISBN: 3031760468 | 364 Pages | EPUB (True) | 22 MB
Topical coverage includes artificial intelligence in sports, automated machine learning for training sessions, computational social science, and deep learning applications. Readers will also explore cutting-edge concepts such as digital twins in sports and sports prediction through data analysis. This volume highlights theoretical advancements and practical case studies that demonstrate real-world applications.

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Artificial Intelligence-Based Games as Novel Holistic Educational Environments to Teach 21st Century Skills
English | 2025 | ISBN: 3031774639 | 617 Pages | PDF EPUB (True) | 36 MB
This book offers a visionary look at how AI can promote learning for modern skillsets by examining the fusion of AI, prosocial gaming, personalisation, ethics, and education. The book introduces the EPATHLO Suite, a novel AI platform that personalises both educational content and gameplay, creating tailor-made learning experiences and entertainment for each student. By blending personalised games with education, these AI-driven environments make learning more dynamic and enjoyable, while focusing on prosocial behaviour development, encouraging cooperation, empathy, and ethical understanding. It also provides roles for human teachers, as content creators of the EPATHLO Suite authoring tool.

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Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals by Amit Kumar Tyagi
English | October 8, 2024 | ISBN: 1394287399 | 496 pages | MOBI | 24 Mb
The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals.

Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions.
Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare.
Some of the topics that readers will find in this book include:
Wireless Medical Sensor Networks in Smart Hospitals ● DNA Computing in Cryptography ● Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification ● Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes ● Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals ● Blockchain for Edge Association in Digital Twin Empowered 6G Networks ● Blockchain for Security and Privacy in Smart Healthcare ● Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector ● Electronic Health Records in a Blockchain ● PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm ● AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease ● Framework for Gender Detection Using Facial Countenances ● Smartphone-Based Sensors for Biomedical Applications ● Blockchain for Improving Security and Privacy in the Smart Sensor Network ● Sensors and Digital Twin Application in Healthcare Facilities Management ● Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy ● Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment ● Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare ● Digital Twin Application in Healthcare Facilities Management ● Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning.
Audience
The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines.

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Artificial Intelligence-Enabled Businesses: How to Develop Strategies for Innovation
English | 2025 | ISBN: 1394233973 | 862 Pages | EPUB | 29 MB
Artificial Intelligence-Enabled Businesses demonstrates how AI is a catalyst for change in business functional areas. Though still in the experimental phase, AI is instrumental in redefining the workforce, predicting consumer behavior, solving real-life marketing dynamics and modifications, recommending products and content, foreseeing demand, analyzing costs, strategizing, managing big data, enabling collaboration of cross-entities, and sparking new ethical, social and regulatory implications for business. Thus, AI can effectively guide the future of financial services, trading, mobile banking, last-mile delivery, logistics, and supply chain with a solution-oriented focus on discrete business problems. Furthermore, it is expected to educate leaders to act in an ever more accurate, complex, and sophisticated business environment with the combination of human and machine intelligence.

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Artificial Neural Networks: Alpha Unpredictability and Chaotic Dynamics
English | 2025 | ISBN: 3031689658 | 447 Pages | PDF EPUB (True) | 53 MB
Mathematical chaos in neural networks is a powerful tool that reflects the world's complexity and has the potential to uncover the mysteries of the brain's intellectual activity. Through this monograph, the authors aim to contribute to modern chaos research, combining it with the fundamentals of classical dynamical systems and differential equations. The readers should be reassured that an in-depth understanding of chaos theory is not a prerequisite for working in the area designed by the authors. Those interested in the discussion can have a basic understanding of ordinary differential equations and the existence of bounded solutions of quasi-linear systems on the real axis.

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Artificial Psychology: Learning from the Unexpected Capabilities of Large Language Models
English | 2025 | ISBN: 3031766458 | 394 Pages | PDF EPUB (True) | 6 MB
The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition. To explore this potential, the book develops a thought experiment called the Prediction Room, a reference to John Searle's influential Chinese Room argument, in which a human agent processes language by following a set of opaque written rules without possessing an inherent understanding of the language. The book proposes a new Room model-the Prediction Room with its resident Prediction Agent-generalizing the working of large language models. Working through a wide range of topics in cognitive science, the book challenges the conclusion of Searle's thought experiment, that discredited contemporary artificial intelligences (AI), through the suggestion that the Prediction Room offers a means of exploring how new ideas in AI can provide productive alternatives to traditional understandings of human cognition. In considering the implications of this, the book reviews an array of topics and issues in cognitive science to uncover new ideas and reinforce older ideas about the mental mechanisms involved in both sides. The discussion of these topics in the book serves two purposes. First, it aims to stimulate new thinking about familiar topics like language acquisition or the nature and acquisition of concepts. Second, by contrasting human psychology with the form of artificial psychology these models exhibit, it uncovers how new directions in the development of these systems can be better explored.

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