Swarm Intelligence For Resource Management In Internet Of Things
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Swarm Intelligence For Resource Management In Internet Of Things
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Author : Aboul Ella Hassanien
language : en
Publisher: Academic Press
Release Date : 2020-08-18
Swarm Intelligence For Resource Management In Internet Of Things written by Aboul Ella Hassanien and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with Science categories.
Internet of Things (IoT) is a new platform of various physical objects or "things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application - Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things - Discusses intelligent techniques for the implementation of swarm intelligence in IoT - Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies
Swarm Intelligence Optimization
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-07
Swarm Intelligence Optimization written by Abhishek Kumar 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 2021-01-07 with Computers categories.
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Swarm Intelligence Optimization
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-08
Swarm Intelligence Optimization written by Abhishek Kumar 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 2020-12-08 with Computers categories.
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Resource Optimization Using Swarm Intelligence And The Iot
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Author :
language : en
Publisher:
Release Date : 2020-08
Resource Optimization Using Swarm Intelligence And The Iot written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08 with categories.
Advanced Deep Learning Applications In Big Data Analytics
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Author : Bouarara, Hadj Ahmed
language : en
Publisher: IGI Global
Release Date : 2020-10-16
Advanced Deep Learning Applications In Big Data Analytics written by Bouarara, Hadj Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Computers categories.
Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.
Resource Management For Internet Of Things
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Author : Flávia C. Delicato
language : en
Publisher: Springer
Release Date : 2017-03-30
Resource Management For Internet Of Things written by Flávia C. Delicato and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Computers categories.
This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system. Resource Management for the Internet of Things will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user.
Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics
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Author : Anupam Yadav
language : en
Publisher: Springer Nature
Release Date : 2023-10-10
Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics written by Anupam Yadav and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Technology & Engineering categories.
This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Blockchain Enabled Internet Of Things Applications In Healthcare Current Practices And Future Directions
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Author : Shashi Kant Gupta, Joanna Rosak-Szyrocka, Amit Mittal, Sanjay Kumar Singh, Olena Hrybiuk
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-01-07
Blockchain Enabled Internet Of Things Applications In Healthcare Current Practices And Future Directions written by Shashi Kant Gupta, Joanna Rosak-Szyrocka, Amit Mittal, Sanjay Kumar Singh, Olena Hrybiuk and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions examines cutting-edge applications, from blockchain-powered IoT innovations in healthcare systems to intelligent health profile management, remote patient monitoring, and healthcare credential verification. Additionally, the book extends its insights into blockchain-enabled IoT applications in smart agriculture, highlighting AI-driven technologies for health management and sustainable practices. With expert analyses, case studies, and practical guidance, this book offers readers a roadmap for implementing these technologies to improve efficiency, security, and data management in healthcare. It is an invaluable resource for industry professionals, researchers, and students interested in the future of healthcare technology. Key Features: - Exploration of blockchain and IoT applications in healthcare and agriculture - In-depth case studies and expert analyses - Practical insights into technology challenges and benefits.
Artificial Intelligence Using Federated Learning
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Author : Ahmed A Elngar
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Artificial Intelligence Using Federated Learning written by Ahmed A Elngar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount. The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students.
Soft Computing And Its Engineering Applications
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Author : Kanubhai K. Patel
language : en
Publisher: Springer Nature
Release Date : 2021-03-04
Soft Computing And Its Engineering Applications written by Kanubhai K. Patel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Soft Computing and its Engineering Applications, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.