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.
International Conference On Artificial Intelligence For Smart Community
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Author : Rosdiazli Ibrahim
language : en
Publisher: Springer Nature
Release Date : 2022-11-13
International Conference On Artificial Intelligence For Smart Community written by Rosdiazli Ibrahim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-13 with Technology & Engineering categories.
This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17–18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications.
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.
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries
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Author : Goel, Neha
language : en
Publisher: IGI Global
Release Date : 2023-07-03
Handbook Of Research On Machine Learning Enabled Iot For Smart Applications Across Industries written by Goel, Neha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Computers categories.
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.
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.
Recent Advances In Artificial Intelligence And Smart Applications
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Author : Jyotsna Kumar Mandal
language : en
Publisher: Springer Nature
Release Date : 2024-09-21
Recent Advances In Artificial Intelligence And Smart Applications written by Jyotsna Kumar 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 2024-09-21 with Computers categories.
The book includes original unpublished contributions presented in First International Conference on Recent Advances in Artificial Intelligence and Smart Applications (RAAISA 2023), organized by Department of CSE, University of Engineering and Management, Kolkata, India during 14 – 15 December 2023. 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 algorithm, and neural networks.
Artificial Intelligence And Smart Agriculture Applications
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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2022-09-07
Artificial Intelligence And Smart Agriculture Applications written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Computers categories.
An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture.— Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, India As a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth. Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farming A cloud-computing model for implementing smart agriculture Conversational AI for farmer's advisory communications Intelligent fuzzy logic to predict global warming’s effect on agriculture Machine learning algorithms for mapping soil macronutrient elements variability A smart IoT framework for soil fertility enhancement AI applications in pest management A model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This book’s findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming.
Smart Applications Of Artificial Intelligence And Big Data
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Author : Salwa Belaqziz
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Smart Applications Of Artificial Intelligence And Big Data written by Salwa Belaqziz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 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.
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.