Computationally Intensive Statistics For Intelligent Iot

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Computationally Intensive Statistics For Intelligent Iot

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Author : Debabrata Samanta
language : en
Publisher: Springer Nature
Release Date : 2021-10-02

Computationally Intensive Statistics For Intelligent Iot written by Debabrata Samanta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-02 with Technology & Engineering categories.

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

Computationally Intensive Statistics For Intelligent Iot

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Author : Debabrata Samanta
language : en
Publisher:
Release Date : 2021

Computationally Intensive Statistics For Intelligent Iot written by Debabrata Samanta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

Recent Trends In Intelligence Enabled Research

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Author : Siddhartha Bhattacharyya
language : en
Publisher: Springer Nature
Release Date : 2025-05-19

Recent Trends In Intelligence Enabled Research written by Siddhartha Bhattacharyya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Computers categories.

This book gathers selected papers presented at the Fifth International Symposium on Signal and Image Processing (ISSIP 2024). It presents fascinating state-of-the-art research findings in signal and image processing. It includes conference papers covering many signal-processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction, and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, and ECG and EMG signals; MRI, PET, and CT scan images; THz signals; solar wind speed (SWS) signals; and photoplethysmography (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

Artificial Intelligence Of Things Aiot

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Author : Fadi Al-Turjman
language : en
Publisher: Elsevier
Release Date : 2024-09-11

Artificial Intelligence Of Things Aiot written by Fadi Al-Turjman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.

Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. - Provides readers with up-to-date and comprehensive information on the latest advancements in AIoT, including wireless technologies, pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power - Explores the possibilities of new domains, services, and business models that can be created using AIoT - Discusses the potential impact of AIoT on society, including its potential to improve efficiency, reduce costs, and enhance quality of life

Computational Intelligence And Mathematical Applications

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Author : Devendra Prasad
language : en
Publisher: CRC Press
Release Date : 2024-08-29

Computational Intelligence And Mathematical Applications written by Devendra Prasad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.

It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023), held on 21-22 December 2023, at Panipat Institute of Engineering and Technology, Panipat. This conference brought scholars, researchers, professionals, and intellectuals together from diverse fields to exchange ideas, share insights, and foster collaborations in Optimization, Computational Intelligence and Mathematical Applications. The ICCIMA 2023 served as a platform for contributors to demonstrate their latest findings, discuss emerging trends, and explore innovations to the problems that different disciplines are currently experiencing. The conference’s scope and depth of themes reflect our community’s rich diversity of interests and levels of competence.

Humans And Generative Ai Tools For Collaborative Intelligence

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Author : Zhao, Jingyuan
language : en
Publisher: IGI Global
Release Date : 2025-06-11

Humans And Generative Ai Tools For Collaborative Intelligence written by Zhao, Jingyuan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.

The relationship between humans and generative AI tools creates a new era of collaborative intelligence, where human creativity, critical thinking, and empathy merge with the speed, scale, and precision of artificial intelligence. Rather than replacing human roles, generative AI systems help with problem-solving, ideation, and decision-making across diverse fields such as education, healthcare, design, and business. This enables individuals and organizations to reveal deeper insights, accelerate innovation, and tackle complex challenges with enhanced efficiency. As these technologies advance, the focus is shifting toward fostering ethical, inclusive, and human-centered collaborations that amplify collective intelligence rather than diminish it. Humans and Generative AI Tools for Collaborative Intelligence explores recent advancements in collaborative intelligence of humans and generative AI tools, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies and applications to advance industries and organizations. It develops guidelines to help industries and organizations achieve the collaborative intelligence of humans and generative AI tools and put the power of collaborative intelligence to work. This book covers topics such as digital technology, robotics, and deep learning models, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.

Progressive Computational Intelligence Information Technology And Networking

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Author : Poonam Nandal
language : en
Publisher: CRC Press
Release Date : 2025-07-22

Progressive Computational Intelligence Information Technology And Networking written by Poonam Nandal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.

Progressive Computational Intelligence, Information Technology and Networking presents a rich and diverse collection of cutting-edge research, real-world applications, and innovative methodologies spanning across multiple domains of computer science, artificial intelligence, and emerging technologies. This comprehensive volume brings together different scholarly chapters contributed by researchers, practitioners, and thought leaders from around the globe. The book explores a wide array of topics including—but not limited to—machine learning, deep learning, cloud computing, cybersecurity, Internet of Things (IoT), blockchain, natural language processing, image processing, and data analytics. It addresses the practical implementation of technologies in sectors such as healthcare, agriculture, education, smart cities, environmental monitoring, finance, and more. Each chapter delves into specific challenges, frameworks, and experimental outcomes, making this book an essential reference for academicians, researchers, industry professionals, and students who aim to stay ahead in the rapidly evolving digital world.

Internet Of Things And Big Data Analytics For Smart Generation

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Author : Valentina E. Balas
language : en
Publisher: Springer
Release Date : 2018-12-30

Internet Of Things And Big Data Analytics For Smart Generation written by Valentina E. Balas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-30 with Technology & Engineering categories.

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Artificial Intelligence Enabled Digital Twin For Smart Manufacturing

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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-11

Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi 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 2024-09-11 with Computers categories.

An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.

Microelectronics Communication Systems Machine Learning And Internet Of Things

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Author : Vijay Nath
language : en
Publisher: Springer Nature
Release Date : 2022-07-11

Microelectronics Communication Systems Machine Learning And Internet Of Things written by Vijay Nath and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-11 with Technology & Engineering categories.

This volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.