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[booksz]

Artificial Intelligence based Solutions for Industrial Applications (Computational Methods for Industrial Applications) by Pooja Jha, Shalini Mahato, Prasanta K. Jana
English | November 20, 2024 | ISBN: 1032548010 | 402 pages | MOBI | 16 Mb
Artificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate industrial challenges and to stimulate innovation. This book explores the fundamental principles of artificial intelligence (AI) and its practical use in industrial environments. This book improves understanding of core concepts, the present state of the art and real-time implementation of AI in many industrial applications.

This book describes the detailed implementation of AI in the industrial sector as well as related case studies for in-depth understanding. Basic concepts, related work reviews, illustrations, empirical results, and tables are integrated within each chapter to give the readers the opportunity to gain maximum knowledge and to easily understand the methodology and results presented.
This book introduces a variety of smart algorithms to help in filtering important information and to solve problems in the application domains. Application of machine learning and deep learning in the industry demonstrates the capabilities by which it may be used to solve practical problems in the 'Fourth Industrial Revolution', and it equips readers with the necessary knowledge and tools to design solutions by themselves with the help of theory and practical examples dealt with. The fourth industrial revolution and its consequences on society and organizations are discussed in this book.
Featuresetailed understanding of the industrial application of AI.Discussion of core concepts of different machine learning and deep learning techniques such as artificial neural networks, support vector machines, K -nearest neighbour, decision tree, logistic regression, and many more.Detailed study on various industrial applications of machine learning and deep learning in healthcare, education, entertainment, share market, manufacturing, and many more.Case studies on industrial application of AISummataion of the fourth industrial revolution and its consquences on society and organizationsThis book is primarily written for graduate students, engineers, and academic researchers, industrial practitioners, and anyone who wants to optimize production processes, explore AI technology, or stay ahead in the industrial field. It covers the complexities of AI in industrial contexts from core basic understanding to complex implementation.

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[booksz]

Artificial Intelligence for Bone Disorder: Diagnosis and Treatment by Rishabha Malviya, Shivam Rajput, Makarand Vaidya
English | February 21, 2024 | ISBN: 1394230885 | 272 pages | MOBI | 7.27 Mb
ARTIFICIAL INTELLIGENCE FOR BONE DISORDER

The authors have produced an invaluable resource that connects the fields of AI and bone treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses.
The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently.
The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography.
With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems.
Audience
This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators.

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[booksz]

Artificial Intelligence for Class IX: Textbook to learn the basics of AI (English Edition) by Dr. Harsh Bhasin, Vishal Deshwal
English | September 18, 2024 | ISBN: 9365897734 | 280 pages | PDF | 11 Mb
Description

Artificial Intelligence for Class IX introduces young learners to the exciting world of AI, perfect for students at your level. This book covers the basics of AI, its real-life applications, and how it is changing industries like gaming, transportation, and more. As a Class IX student, you will gain a solid foundation in AI and learn how it is used to solve everyday problems and create innovative solutions.
This book is designed for IX-grade students to introduce them to key concepts in data science, programming, and AI. It covers the basics of gathering and exploring data and introduces programming, focusing on Python, a popular language for AI. In addition, it highlights the importance of technology and its environmental impact, teaching students about Information and Communication Technology (ICT) and green skills. The book makes learning interactive with real-life examples, relatable explanations, and activities that engage students. Each chapter includes exercises to apply their new knowledge, from coding tasks to reflecting on communication skills. This hands-on approach ensures students grasp these essential topics, setting them up for success in both academics and future careers.
By the end of this book, you will be equipped with the knowledge and skills to explore the exciting world of AI. You will be able to understand how AI works, create simple AI projects, and develop the critical thinking and problem-solving abilities needed to thrive in the age of AI.
Key Features
● Covers AI, neural networks, and AI project cycle.
● Introduces the fundamentals of each topic with detailed explanations, real-life examples, and relatable analogies.
● Contains projects and exercises to provide practical experience and a better understanding.
What you will learn
● Basics of programming, specifically Python.
● Fundamentals of AI and ML.
● Process of understanding data acquisition, exploration, and modeling.
● Importance of key soft skills like communication, self-management, and entrepreneurial skills.
● ICT skills and green skills.
Who this book is for
Class IX students of CBSE schools, students of any other board and any other learner interested in learning AI and Python.
Table of Contents
1. Introduction to Artificial Intelligence
2. Artificial Intelligence Life Cycle
3. Problem Scoping
4. Data Acquisition
5. Data Exploration
6. Data Modeling
7. Introduction to Machine Learning and Neural Networks
8. Basics of Programming
9. Introduction to Python
10. Lists
11. Communication Skills
12. Self-Management Skills
13. Communication Technologies
14. Entrepreneurship Skills
15. Green Skills

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[booksz]

Artificial Intelligence For Dummies (For Dummies (Computer/Tech)) by John Paul Mueller, Luca Massaron, Stephanie Diamond
English | November 20, 2024 | ISBN: 1394270712 | 368 pages | MOBI | 1.63 Mb
Dive into the intelligence that powers artificial intelligence

Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence.Learn the basics of AI hardware and software, and how intelligence is created from codeGet up to date with the latest AI trends and disruptions across industriesWrap your mind around what the AI revolution means for humanity, and for youDiscover tips on using generative AI ethically and effectivelyArtificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

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Artificial Intelligence for Future Networks
by Mohammad A. Matin
English | December 17, 2024 | ISBN: 1394227930 | 493 Pages | True epub | 22,74 MB

An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architecture
Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT).
The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks.
Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications.
Some of the topics include:
Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systems
Channel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniques
Resource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MEC
Antenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling
Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study.
eBook Details:
Mohammad A. Matin
493 Pages
12 - 13 Hours to read
152k Total words
Release Date: December 17, 2024
ISBN-13: 9781394227938
ISBN-10: 1394227930
Language: English
Format: epub
File Size: 22,74 MB

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[booksz]

Artificial Intelligence for Future Networks
English | 2025 | ISBN: 1394227930 | 406 Pages | PDF | 9.4 MB
Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT).

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[booksz]

Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks by Francis X. Govers III
English | March 29, 2024 | ISBN: 1805129597 | 344 pages | PDF | 36 Mb
Learn how to apply artificial intelligence, engineering, and machine learning to create smart robots capable of interacting with their environment, engaging with users, making decisions, and navigating autonomously

Key FeaturesGain a holistic understanding of robot design, systems engineering, and task analysisImplement AI/ML techniques to detect and manipulate objects and navigate robots using landmarksIntegrate voice and natural language interactions to create a digital assistant and artificial personality for your robotPurchase of the print or Kindle book includes a free PDF eBookBook Description
Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this book equips you with the tools and practical use cases to create truly smart robots.
Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition and genetic algorithms to teach your robot to identify and pick up objects, and you'll also harness the power of natural language processing to give your robot a voice. To enhance your robot further, you'll master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.
By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.
What you will learnGet started with robotics and AI essentialsUnderstand path planning, decision trees, and search algorithms to enhance your robotExplore object recognition using neural networks and supervised learning techniquesEmploy genetic algorithms to enable your robot arm to manipulate objectsTeach your robot to listen using Natural Language Processing through an expert systemProgram your robot in how to avoid obstacles and retrieve objects with machine learning and computer visionApply simulation techniques to give your robot an artificial personalityWho this book is for
This book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful.
Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.
Table of ContentsThe Foundation of Robotics and Artificial IntelligenceSetting Up Your RobotConceptualizing the Practical Robot Design ProcessRecognizing Objects Using Neural Networks and Supervised LearningPicking Up and Putting Away Toys using Reinforcement Learning and Genetic AlgorithmsTeaching a Robot to ListenTeaching the Robot to Navigate and Avoid StairsPutting Things AwayGiving the Robot an Artificial PersonalityConclusions and ReflectionsQ and AApendix

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Artificial Intelligence for Strategic Communication
English | 2025 | ISBN: 9819625742 | 517 Pages | PDF EPUB (True) | 16 MB
In an era where AI is revolutionising every aspect of communication, this groundbreaking research monograph provides an essential roadmap for navigating the intersection of artificial intelligence and strategic communication. Drawing on extensive primary research, including interviews with 41 experts and surveys of 400 professionals across three continents and eight countries, this book provides insights from relevant scholars, communication practitioners and AI tool developers.

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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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[booksz]

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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[booksz]

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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