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Marilyn Stokstad, "Art History, Volume 1"
English | 2019 | ISBN: 0135570026 | PDF | pages: 641 | 105.8 mb
Art History brings the history of art to life for a new generation of students. It is global in scope, inclusive in its coverage, and warm and welcoming in tone. The guiding vision of Art History is that the teaching of art history survey courses should be filled with equal delight, enjoyment, and serious learning, while fostering an enthusiastic and educated public for the visual arts. The Sixth Edition has been revised to reflect new discoveries, recent research, and fresh interpretive perspectives, as well as to address the changing needs of both students and educators.

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Pamela Gordon, "Art Matters: A Contemporary Approach to Art Appreciation"
English | ISBN: 0199946515 | 2019 | 672 pages | PDF | 42 MB
What is art? Is it something confined to a museum or gallery, or can it occupy our communities, our schools, our bookshelves, and even our text message conversations? Is it something beautiful, moving, confusing, or perhaps all of the above? What gives Art meaning? And why is Art so important to us-all of us?

Art Matters introduces students to the wide range of art that is around them. Featuring an enormous assortment of types of art that diverse artists have created for different people around the world, it demonstrates how pervasive and critical art is in our lives-from the emojis we text, to the furniture we sit on, to the buildings we live in, to the photographs we see.
Through stories, examples, thoughtful pedagogy, and in-depth discussions of process and history,
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Artificial General Intelligence (AGI) Security: Smart Applications and Sustainable Technologies
English | 2025 | ISBN: 9819732212 | 381 Pages | PDF (True) | 10 MB
This book highlights a collection of state-of-the-art research on Safe Artificial General Intelligence (AGI), highlighting the crucial role of cybersecurity, smart applications, and sustainable technologies in ensuring a secure AI future. It illustrates the latest trends in AI safety, exploring the potential risks and dangers associated with AGI development and ways to prevent unintended consequences. The book discusses the convergence of various fields, such as AI, cybersecurity, smart applications, and sustainable technologies, by providing an overview of theoretical, practical, and simulation concepts of AGI. It also displays solutions that will help mitigate the risks and ensure the responsible and ethical development of AGI. It provides insights and perspectives from experts in these fields and offers a comprehensive guide to understanding the challenges and opportunities associated with the development of safe and secure AGI.

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Artificial Insect-Inspired Vision for Autonomous Systems
English | 2025 | ISBN: 8770047065 | 160 Pages | PDF EPUB (True) | 80 MB
This book offers a straightforward explanation of groundbreaking artificial vision technology, which can provide limitless scalable resolution and lens-less, human-like vision with electronic control over focus, field of view, and direction. This advanced technology addresses the challenge of rapidly transferring large volumes of visual data for remote imaging systems. It also presents the novel artificial eye concept, the foundation of this vision technology. This eye can serve as a wearable device for visually impaired individuals, eliminating the need for surgery or implants. It offers significant advancements in long-distance vision with high resolution and automatic recognition of surrounding objects. The book also provides a concise overview of the architecture and benefits of nature-inspired antenna arrays and their potential applications, enhancing the reader's understanding and the importance of the presented vision technology. Richly illustrated with colorful diagrams and straightforward explanations, this book is designed to facilitate understanding for readers with engineering backgrounds, customers, and students.

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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care
English | 2025 | ISBN: 3031777883 | 256 Pages | PDF (True) | 70 MB
This book constitutes the refereed proceedings of the First Deep Breast Workshop on Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024.The 23 regular papers presented in this book were carefully reviewed and selected from 51 submissions.The workshop provides an international platform for presentation of - and discussion on - studies related to AI in breast imaging. Deep-Breath aims to promote the development of this research area by sharing insights in academic research and clinical practice between clinicians and AI experts, and by exploring together the opportunities and potential challenges of AI applications in breast health. The deep-breath workshop provides, therefore, an unique forum to discuss the possibilities in this challenging field, aiming to create value that eventually truly leads to benefit for physicians and patients.

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Artificial Intelligence and Internet of Things
English | 2025 | ISBN: 3031821114 | 293 Pages | PDF EPUB (True) | 95 MB
This book offers a cutting-edge exploration of key advancements in artificial intelligence, IoT, data science, and their transformative impact on industries, particularly health care, in a rapidly evolving technological landscape. Readers will discover how AI and machine learning drive innovations, from detecting anomalies in satellite systems to enhancing medical diagnostics and treatment precision.

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Artificial Intelligence and Optimization Techniques for Smart Information System Generations
English | 2025 | ISBN: 1032717033 | 304 Pages | PDF EPUB (True) | 65 MB
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems.

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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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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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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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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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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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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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