Icdsmla 2021
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Icdsmla 2021
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-02-06
Icdsmla 2021 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Technology & Engineering categories.
This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Proceedings Of The 4th International Conference On Data Science Machine Learning And Applications
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-08-15
Proceedings Of The 4th International Conference On Data Science Machine Learning And Applications written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Computers categories.
This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 2
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 2 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
This book presents original, peer-reviewed select articles from the International Conference on Cognitive and Intelligent Computing (ICCIC-2023), held on December 8–9, 2023, at Hyderabad, in India. The book focuses on the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL in order to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems. It includes contributions from a methodological/application standpoint in understanding artificial intelligence and machine learning approaches and their capabilities in solving a wide range of problems in the real world.
Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 1
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-03-24
Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 1 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Computers categories.
This book presents original, peer-reviewed select articles from the International Conference on Cognitive and Intelligent Computing (ICCIC-2023), held on December 8–9, 2023, at Hyderabad, in India. The book focuses on the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL in order to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems. It includes contributions from a methodological/application standpoint in understanding artificial intelligence and machine learning approaches and their capabilities in solving a wide range of problems in the real world.
16th International Conference On Applications Of Fuzzy Systems Soft Computing And Artificial Intelligence Tools Icafs 2023
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Author : Rafik A. Aliev
language : en
Publisher: Springer Nature
Release Date : 2025-02-12
16th International Conference On Applications Of Fuzzy Systems Soft Computing And Artificial Intelligence Tools Icafs 2023 written by Rafik A. Aliev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Computers categories.
This book covers diverse areas of fuzzy logic, soft computing, and AI approaches such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of soft computing, decision theory with imperfect information, neuro-fuzzy technology, intelligent control, machine learning, evolutionary computing, fuzzy logic, and soft computing in engineering, industry, social sciences, business, economics, earth sciences, material sciences, and others. This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2023, held in Antalya, Turkey, on September 14–15, 2023. This will be a useful guide for academics, practitioners, and graduates in fields of fuzzy systems and soft computing. It would allow for attracting of interest in development and applying of these paradigms in various real fields.
Internet Of Things And Analytics For Agriculture Volume 4
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Author : Raghvendra Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-13
Internet Of Things And Analytics For Agriculture Volume 4 written by Raghvendra Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-13 with Technology & Engineering categories.
This edited book presents recent findings on use of IoT-based monitoring systems to analyse functional frameworks for intelligent computational analysis of sustainable agricultural system, field monitoring and automation systems, agriculture sensor network, sensor-based precision agriculture, expert systems for soil management, remote monitoring and predictive analysis systems, AI-based emergency alert systems, crop monitoring, AI-based predictive analysis, smart irrigation, and data acquisition security. The book also explores a range of applications, including, intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
Advances In Computational Intelligence And Its Applications
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Author : Sheikh Fahad Ahmad
language : en
Publisher: CRC Press
Release Date : 2024-06-07
Advances In Computational Intelligence And Its Applications written by Sheikh Fahad Ahmad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-07 with Computers categories.
It is with great pleasure and enthusiasm that we welcome you to the International Conference on Advances in Computational Intelligence and its Applications (ICACIA-2023). In the ever-evolving landscape of technology, computational intelligence stands as a cornerstone, shaping the future of diverse fields and industries. This conference serves as a nexus for researchers, academicians, and industry experts to converge, exchange ideas, and explore the latest advancements in the realm of computational intelligence.
Modern Approaches In Machine Learning And Cognitive Science A Walkthrough
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2024-01-13
Modern Approaches In Machine Learning And Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-13 with Computers categories.
This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Artificial Intelligence For Future Networks
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Author : Mohammad A. Matin
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-02
Artificial Intelligence For Future Networks written by Mohammad A. Matin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
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 explored in Artificial Intelligence for Future Networks 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.
Computational Intelligence In Machine Learning
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Computational Intelligence In Machine Learning written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.