Implementing Ml In Iot Environments

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Proceedings Of World Conference On Artificial Intelligence Advances And Applications

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Author : Ashish Kumar Tripathi
language : en
Publisher: Springer Nature
Release Date : 2024-09-30

Proceedings Of World Conference On Artificial Intelligence Advances And Applications written by Ashish Kumar Tripathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.

This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22–23, 2024. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems.

The Tactile Internet

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Author : Tara Ali-Yahiya
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-01

The Tactile Internet written by Tara Ali-Yahiya 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 2021-12-01 with Computers categories.

The Tactile Internet will change the landscape of communication by introducing a new paradigm that enables the remote delivery of haptic data. This book answers the many questions surrounding the Tactile Internet, including its reference architecture and adapted compression methods for conveying haptic information. It also describes the key enablers for deploying the applications of the Tactile Internet. As an antecedent technology, the IoT is tackled, explaining the differences and similarities between the Tactile Internet, the Internet of Things and the Internet of Everything. The essentials of teleoperation systems are summarized and the challenges that face this paradigm in its implementation and deployment are also discussed. Finally, a teleoperation case study demonstrating an application of the Tactile Internet is investigated to demonstrate its functionalities, architecture and performance.

Optimizing Edge And Fog Computing Applications With Ai And Metaheuristic Algorithms

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Author : Madhusudhan H S
language : en
Publisher: CRC Press
Release Date : 2025-09-16

Optimizing Edge And Fog Computing Applications With Ai And Metaheuristic Algorithms written by Madhusudhan H S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.

Fog and edge computing are two paradigms that have emerged to address the challenges associated with processing and managing data in the era of the Internet of Things (IoT). Both models involve moving computation and data storage closer to the source of data generation, but they have subtle differences in their architectures and scopes. These differences are one of the subjects covered in Optimizing Edge and Fog Computing Applications with AI and Metaheuristic Algorithms. Other subjects covered in the book include: Designing machine learning (ML) algorithms that are aware of the resource constraints at the edge and fog layers ensures efficient use of computational resources Resource-aware models using ML and deep leaning models that can adapt their complexity based on available resources and balancing the load, allowing for better scalability Implementing secure ML algorithms and models to prevent adversarial attacks and ensure data privacy Securing the communication channels between edge devices, fog nodes, and the cloud to protect model updates and inferences Kubernetes container orchestration for fog computing Federated learning that enables model training across multiple edge devices without the need to share raw data The book discusses how resource optimization in fog and edge computing is crucial for achieving efficient and effective processing of data close to the source. It explains how both fog and edge computing aim to enhance system performance, reduce latency, and improve overall resource utilization. It examines the combination of intelligent algorithms, effective communication protocols, and dynamic management strategies required to adapt to changing conditions and workload demands. The book explains how security in fog and edge computing requires a combination of technological measures, advanced techniques, user awareness, and organizational policies to effectively protect data and systems from evolving security threats. Finally, it looks forward with coverage of ongoing research and development, which are essential for refining optimization techniques and ensuring the scalability and sustainability of fog and edge computing environments.

Implementing Ml In Iot Environments

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Author : Prof. (Dr.) Geetika Mathur
language : en
Publisher: Shineeks Publishers
Release Date : 2025-02-21

Implementing Ml In Iot Environments written by Prof. (Dr.) Geetika Mathur and has been published by Shineeks Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Education categories.

“Implement ML in IoT Environments” explores the relationship between Machine Learning and the Internet of Things in details. It’s an all-inclusive discussion of both theoretical and practical aspects with the essentials of the book making it a necessary acquisition for practitioners and students in IoT, AI, and data science fields. IoT Introduction: The very first stage contains IoT in which there is a discussion about the basic concepts, significant making blocks, and real-world applications. This would include the entire interlinked world where all devices talk to one another via data exchange and form smart environments across the industry representative. IoT Hardware and Software: The hardware and software in IoT systems are all explored in relation to their operation within the system. Sensors, actuators, communication protocols, and edge computing as well as other technologies are explored as enabling factors in IoT applications. In addition, software architectures and platforms for IoT development would also be described while emphasizing the inclusion of machine learning to enhance differents functions in IoT applications. Architecture and Reference Models in IoT: It covers the complete information regarding the architectural frameworks and reference models used in IoT. Models such as the IoT reference model and the three-layer model are mentioned in this book-an explanation on how data is processed, stored, and transferred. The book also discusses issues on scalability that affect IoT systems leaving behind the picture of what an effective, secure architecture would demand. It introduces the concept of precision agriculture that IoT and machine learning help to develop what you call “agricultural practices.” The book discusses how monitoring and analysis of data through IoT sensors plus application of data analytics and ML algorithms can increase the efficiency of crop production, resource management, and overall farm productivity. The bringing in of IoT into precision agriculture is hailed as a game-changer to sustainable agricultural practice. Introduction to the Smart Health Monitoring System: The last section concerns smart health monitoring; thus, using IoT equipped with machine learning algorithms to continue real-time tracking and analysis of health data. Various health monitoring systems would be developed where scientists rely on IoT and collection of vital signs through wearables as well as analysis on how health conditions can be predicted using models of machine learning contributing to personalized care and early diagnosis. Finally, the book raises a point that using IoT and machine learning together will be a strong tool of transformation in the future, giving a small view on trends and advancements of smart environments. Thus, this reference work will go on to provide the complexity and its application in IoT systems-from precision agriculture to health monitoring.

Network Optimization In Intelligent Internet Of Things Applications

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Author : Payal Khurana Batra
language : en
Publisher: CRC Press
Release Date : 2024-09-25

Network Optimization In Intelligent Internet Of Things Applications written by Payal Khurana Batra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.

Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance. This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques. This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance. This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.

Multimedia Technologies In The Internet Of Things Environment Volume 4

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Author : Rohit Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-04-29

Multimedia Technologies In The Internet Of Things Environment Volume 4 written by Rohit Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.

This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a fourth volume by editors which provides theoretical and practical approaches in the areas of multimedia and IoT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IoT) approaches are also covered. It addresses the complete functional framework in the areas of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IoT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IoT analytics.

International Conference On Innovation Sustainability And Applied Sciences

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Author : Chithirai Pon Selvan
language : en
Publisher: Springer Nature
Release Date : 2025-02-11

International Conference On Innovation Sustainability And Applied Sciences written by Chithirai Pon Selvan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Technology & Engineering categories.

The book presents the proceedings of the International Conference on Innovation, Sustainability and Applied Sciences (ICISAS 2023), which took place in Dubai, UAE, on 09-11 December 2023. The conference is a unique opportunity to learn from leading researchers and professionals on how to collectively shape the future through innovation, sustainability, and scientific vigor. Topics include but are not limited to sustainable materials and manufacturing, renewable energy, cyber incident and security, information security risk management, and sustainable finance and investments, to name a few. The conference is meant to attract experts from diverse industries, including senior government leaders, policymakers, eminent scientists, academicians, researchers, technocrats, and students from various parts of the world. This multi-professional conference is dedicated to all applied specialized and interdisciplinary fields.

Environmental Monitoring Using Artificial Intelligence

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Author : A. Suresh
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-19

Environmental Monitoring Using Artificial Intelligence written by A. Suresh 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 2025-02-19 with Computers categories.

Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future. Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability. From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.

Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering

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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-10-30

Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers categories.

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.

Challenges And Solutions In Internet Of Things Based Smart Applications

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Author : Narendra Shekokar
language : en
Publisher: CRC Press
Release Date : 2025-01-06

Challenges And Solutions In Internet Of Things Based Smart Applications written by Narendra Shekokar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Computers categories.

Presenting innovative research-oriented ideas, and the implementation and socioeconomic applications of internet of things-based network, Challenges and Solutions in Internet of Things-Based Smart Applications showcases smart waste management, optical technologies for internet of things and remote patient monitoring and data analysis. Presents advanced research on smart waste management using internet of things and blockchain Explains the optical technologies for internet of things and image projection on visual cortex using internet of things sensors Discusses applications in smart systems like smart automatic Covid door opening system, internet of things-based remote patient monitoring, and integrated smart reading meter Presents comprehensive review above various security techniques of internet of things Includes different applications of internet of things-based solutions in agriculture, healthcare, and wireless network This text is primarily written for graduate students, postgraduate students, professionals and academic researchers working in the fields of Computer Science and Engineering, Information Technology and Electrical Engineering.