Machine Intelligence For Smart Applications
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Machine Intelligence For Smart Applications
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Author : Amina Adadi
language : en
Publisher: Springer Nature
Release Date : 2023-08-24
Machine Intelligence For Smart Applications written by Amina Adadi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with Technology & Engineering categories.
This book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusses potential solutions to address these limitations. All these aspects are explored through the lens of smart applications. The book navigates the landscape of the most recent, prominent, and impactful MI smart applications. The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government. The book examines not only present smart applications but also takes a look at how MI may potentially be applied in the future. This book is aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies. The book is also valuable for practitioners, and it serves as a bridge between researchers and practitioners. It also helps connect researchers interested in MI technologies who come from different social and business disciplines and who can benefit from sharing ideas and results.
Big Data Intelligence For Smart Applications
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Author : Youssef Baddi
language : en
Publisher: Springer Nature
Release Date : 2022-01-18
Big Data Intelligence For Smart Applications written by Youssef Baddi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Computers categories.
Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
Machine Learning And Iot For Intelligent Systems And Smart Applications
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Author : Madhumathy P
language : en
Publisher: CRC Press
Release Date : 2021-11-17
Machine Learning And Iot For Intelligent Systems And Smart Applications written by Madhumathy P and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Computers categories.
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Recent Innovations In Artificial Intelligence And Smart Applications
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Author : Mostafa Al-Emran
language : en
Publisher: Springer Nature
Release Date : 2022-10-01
Recent Innovations In Artificial Intelligence And Smart Applications written by Mostafa Al-Emran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-01 with Technology & Engineering categories.
This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical machine learning, deep learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications.
Smart Applications Of Artificial Intelligence And Big Data
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Author : Salwa Belaqziz
language : en
Publisher:
Release Date : 2025
Smart Applications Of Artificial Intelligence And Big Data written by Salwa Belaqziz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computers categories.
"Smart Applications of Artificial Intelligence and Big Data covers a wide range of topics related to AI and big data, including machine learning, deep learning, natural language processing, computer vision, data analytics, and data mining. It focuses on the integration of these technologies to create smart applications, such as intelligent transportation systems, smart healthcare, smart cities, and smart grids. The book comprises of twenty-one chapters, each providing technical details of the research, practical examples, and case studies to help readers understand the real-world applications of AI and big data technologies. The book also highlights cutting-edge research on AI and big data, including novel algorithms, tools, and techniques. It discusses the challenges and opportunities of using AI and big data to develop smart applications and provides recommendations for the development of responsible and transparent AI-based systems. Therefore, this book is a valuable resource for researchers and professionals looking to stay up-to-date with the latest advancements in AI and big data and how they can be applied to solve real-world challenges"-- Provided by publisher.
Iot And Machine Learning For Smart Applications
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Author : G. Vennira Selvi
language : en
Publisher: CRC Press
Release Date : 2025-03-06
Iot And Machine Learning For Smart Applications written by G. Vennira Selvi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields. Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications Describes how various methods are used to extract higher- level information from IoT- generated data Presents the latest technologies and research findings on IoT for smart applications Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.
Recent Advances In Artificial Intelligence And Smart Applications
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Author : Jyotsna K. Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-10-01
Recent Advances In Artificial Intelligence And Smart Applications written by Jyotsna K. Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-01 with Computers categories.
This book includes original unpublished contributions presented in the Second International Conference on Recent Advances in Artificial Intelligence and Smart Applications (RAAISA 2024), organized by the Department of CSE, University of Engineering and Management, Kolkata, India, during December 14–15, 2024. The topics covered are progression of artificial intelligence techniques like smart agent-based systems, human–computer interaction technologies, reinforcement learning, sentiment analysis, recurrent neural networks and its applications, genetic algorithms, and neural networks.
Iot And Machine Learning For Smart Applications
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Author : G. Vennira Selvi
language : en
Publisher: CRC Press
Release Date : 2025
Iot And Machine Learning For Smart Applications written by G. Vennira Selvi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Technology & Engineering categories.
"This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be put to use in various fields. Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications Covers machine-learning approaches that address the difficulties posed by IoT-generated data for smart applications Describes how various methods are used to extract higher-level information from IoT-generated data Presents the latest technologies and research findings on IoT for smart Applications Focuses on how Machine Learning algorithms are used in various real-world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields"-- Provided by publisher.
Explainable Artificial Intelligence For Trustworthy Decisions In Smart Applications
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Author : Nicu Bizon
language : en
Publisher: Springer Nature
Release Date : 2025-09-30
Explainable Artificial Intelligence For Trustworthy Decisions In Smart Applications written by Nicu Bizon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.
This book introduces readers to the field of explainable artificial intelligence (XAI), which aims to make AI models more transparent and trustworthy. It explores how XAI can enhance trust and confidence in AI models and their decisions across various innovative applications in fields such as healthcare, finance, and engineering, where AI can significantly impact quality of life. Readers will discover emerging trends related to XAI—such as large language models, generative AI, and natural language processing—that are transforming the landscape of AI research and applications. Featuring an interdisciplinary overview, the book examines the state of the art, challenges, and opportunities in XAI, accompanied by clear examples and detailed explanations of its methods and techniques. The book also offers a balanced perspective on the limitations and trade-offs of XAI and outlines future directions and opportunities for both research and practice. This book is intended for anyone who wants to learn more about XAI and understand how it can enhance trust in AI models.
Smart Applications With Advanced Machine Learning And Human Centred Problem Design
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Smart Applications With Advanced Machine Learning And Human Centred Problem Design written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.