Artificial Intelligence Foundations And Applications

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Artificial Intelligence Foundations And Applications

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Author : Siva Sankar Namani
language : en
Publisher: Archers & Elevators Publishing House
Release Date :

Artificial Intelligence Foundations And Applications written by Siva Sankar Namani and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.

Artificial Intelligence

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Author : Patrick Henry Winston
language : en
Publisher:
Release Date : 1987

Artificial Intelligence written by Patrick Henry Winston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Artificial intelligence categories.

Knowledge Graphs For Explainable Artificial Intelligence

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Author : Ilaria Tiddi
language : en
Publisher:
Release Date : 2020

Knowledge Graphs For Explainable Artificial Intelligence written by Ilaria Tiddi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Engineering Mathematics And Artificial Intelligence

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Author : Herb Kunze
language : en
Publisher: CRC Press
Release Date : 2023-07-26

Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.

Artificial Intelligence Foundations Applications And Future Directions

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Author : Ahmet Gürkan YÜKSEK•
language : en
Publisher: Livre de Lyon
Release Date : 2025-03-23

Artificial Intelligence Foundations Applications And Future Directions written by Ahmet Gürkan YÜKSEK• and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Computers categories.

Ai Foundations And Applications With Matlab

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Author : Ying Bai
language : en
Publisher:
Release Date : 2025-05-30

Ai Foundations And Applications With Matlab written by Ying Bai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.

This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation knowledge of AI, structures, key components, and hands-on AI projects implemented in various applications in our world. Unlike other AI related textbooks, in which the Python is used, the MATLAB is adopted in this textbook. The Python programming mode builds AI projects with functions involving huge blocks of codes, which is a difficult task. However, in MATLAB mode, provides two programming styles, Apps, and function library. The Apps graphical user interface (GUIs) assist users, especially the beginners, to learn and build AI projects with no coding lines quickly and easily. To compensate the possible code-hiding in Apps, MATLAB provides a Converting Codes function to allow users to convert those Apps to the related codes. It enables users to have a clear picture between Apps and detailed coding process. The function library enables users to build AI projects with detailed codes. This textbook also includes homework questions, exercises, lab projects and case studies. This book is designed as a textbook for advanced-level students in Computer Science or Computer Engineering. Also, AI engineers, who have an interest in learning and developing professional AI applications to solve real problems in the world will want to purchase this book.

Explainable Ai Foundations Methodologies And Applications

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Author : Mayuri Mehta
language : en
Publisher: Springer Nature
Release Date : 2022-10-19

Explainable Ai Foundations Methodologies And Applications written by Mayuri Mehta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Technology & Engineering categories.

This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.

Mathematical Reviews

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Author :
language : en
Publisher:
Release Date : 2004

Mathematical Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.

Ai Expert

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Author :
language : en
Publisher:
Release Date : 1987

Ai Expert written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Artificial intelligence categories.

Generative Ai Foundations Models And Applications

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Author : Dr. K. VANITHA SIDAMBARANATHAN
language : en
Publisher: NC Publishers
Release Date : 2025-10-15

Generative Ai Foundations Models And Applications written by Dr. K. VANITHA SIDAMBARANATHAN and has been published by NC Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-15 with Antiques & Collectibles categories.

“Generative AI: Foundations, Models, and Applications” provides a comprehensive exploration of one of the most transformative areas of artificial intelligence. Designed for students, researchers, educators, and professionals, this book offers a balanced blend of theory, models, and real-world use cases of generative AI. The text begins by introducing the “fundamentals of generative modeling”, covering the mathematical and conceptual underpinnings that make generative AI possible. It then progresses into a detailed study of prominent models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Large Language Models (LLMs), and Multimodal Systems. Beyond the foundations, the book emphasizes the practical applications of generative AI across industries—ranging from natural language processing, computer vision, and healthcare to education, creative arts, business innovation, and scientific research. Ethical considerations, challenges, and future trends are also discussed, equipping readers to critically analyze the opportunities and risks of this rapidly evolving field. With clear explanations, case studies, and an application-driven perspective, this book serves as both an academic resource and a practical guide for those seeking to understand and leverage generative AI in real-world contexts.