Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning
| Author | : Mohammad Shamsul Arefin |
| Publisher | : Springer Nature |
| Total Pages | : 1053 |
| Release | : |
| Genre | : |
| ISBN | : 981998937X |
Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning
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Proceedings of the International Conference on Big Data, IoT, and Machine Learning
| Author | : Mohammad Shamsul Arefin |
| Publisher | : Springer Nature |
| Total Pages | : 784 |
| Release | : 2021-12-03 |
| Genre | : Technology & Engineering |
| ISBN | : 9811666369 |
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
| Author | : John Macintyre |
| Publisher | : Springer Nature |
| Total Pages | : 999 |
| Release | : 2021-11-02 |
| Genre | : Computers |
| ISBN | : 3030895114 |
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Big Data, Cloud and Applications
| Author | : Youness Tabii |
| Publisher | : Springer |
| Total Pages | : 561 |
| Release | : 2018-08-13 |
| Genre | : Computers |
| ISBN | : 3319962922 |
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Big Data, Cloud and Applications, BDCA 2018, held in Kenitra, Morocco, in April 2018.The 45 revised full papers presented in this book were carefully selected from 99 submissions with a thorough double-blind review process. They focus on the following topics: big data, cloud computing, machine learning, deep learning, data analysis, neural networks, information system and social media, image processing and applications, and natural language processing.
Big Data, IoT, and Machine Learning
| Author | : Rashmi Agrawal |
| Publisher | : CRC Press |
| Total Pages | : 339 |
| Release | : 2020-07-29 |
| Genre | : Computers |
| ISBN | : 1000098281 |
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases
Machine Learning Approaches for Convergence of IoT and Blockchain
| Author | : Krishna Kant Singh |
| Publisher | : John Wiley & Sons |
| Total Pages | : 258 |
| Release | : 2021-08-10 |
| Genre | : Computers |
| ISBN | : 1119761743 |
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
Proceedings of the 2nd International Conference on Innovation and Technology in Sports, ICITS 2023, 27–28 November, Malaysia
| Author | : Zulkifli Mohamed |
| Publisher | : Springer Nature |
| Total Pages | : 606 |
| Release | : |
| Genre | : |
| ISBN | : 9819737419 |
Integration of IoT with Cloud Computing for Smart Applications
| Author | : Rohit Anand |
| Publisher | : CRC Press |
| Total Pages | : 267 |
| Release | : 2023-07-25 |
| Genre | : Computers |
| ISBN | : 1000906094 |
Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners. This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.
Efficient Data Handling for Massive Internet of Medical Things
| Author | : Chinmay Chakraborty |
| Publisher | : Springer Nature |
| Total Pages | : 398 |
| Release | : 2021-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030666336 |
This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm
| Author | : Sheng-Lung Peng |
| Publisher | : Springer Nature |
| Total Pages | : 636 |
| Release | : 2019-11-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3030335968 |
This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.
