Intelligent Data Analytics, IoT, and Blockchain

The book focuses on data analytics with machine learning using IoT and blockchain technology, exploring their interconnections and opportunities for developing systems and applications. It is written for researchers and industry experts, highlighting topics such as image processing, facial recognition, smart city architecture, and blockchain in healthcare.

Format: Hardback
Length: 344 pages
Publication date: 30 October 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of data analytics, leveraging machine learning techniques, in conjunction with IoT and blockchain technology. By exploring their intricate interconnections, Intelligent Data Analytics, IoT, and Blockchain offers a profound examination of the potential and complexities involved in developing systems and applications that harness the power of these cutting-edge technologies. Primarily aimed at researchers actively engaged in this multidisciplinary field, this book also serves as a valuable resource for industry experts and technology executives seeking to enhance their organizations' decision-making capabilities.

Highlights of the book include:

Utilizing image processing with machine learning techniques: This chapter delves into the fusion of image processing and machine learning algorithms, enabling the extraction of valuable insights and patterns from images. It showcases the application of deep learning approaches for facial recognition, a crucial aspect of security and identity verification.

A deep learning approach for facial recognition: This chapter presents a comprehensive deep learning framework for facial recognition, leveraging convolutional neural networks (CNNs) to accurately identify individuals in images and videos. It discusses the challenges of training deep learning models and highlights the potential benefits of this technology in various applications, such as surveillance and authentication.

A scalable system architecture for smart cities based on cognitive IoT: This chapter explores the development of a scalable system architecture for smart cities, leveraging cognitive IoT technologies to enable real-time monitoring, analysis, and management of urban infrastructure. It discusses the use of machine learning algorithms to optimize energy consumption, traffic flow, and public safety, and highlights the potential applications of this technology in smart transportation, healthcare, and environmental monitoring.

Source authentication of videos shared on social media: This chapter examines the challenges of video authentication and proposes a solution using blockchain technology. It discusses the use of distributed ledger technology to ensure the integrity and authenticity of video content, and highlights the potential applications of this technology in media industries, law enforcement, and security.

Survey of blockchain in healthcare: This chapter provides an overview of blockchain technology in healthcare, discussing its potential applications in medical record management, drug supply chain security, and patient privacy protection. It explores the benefits of blockchain in reducing fraud, improving efficiency, and enhancing patient care.

Accident prediction by vehicle tracking: This chapter explores the use of vehicle tracking technology to predict accidents and prevent road safety incidents. It discusses the use of machine learning algorithms to analyze vehicle data and identify patterns that can indicate potential risks, and highlights the potential applications of this technology in transportation management and insurance industries.

Big data analytics in disaster management: This chapter examines the use of big data analytics in disaster management, discussing its potential applications in emergency response, risk assessment, and post-disaster recovery. It explores the use of machine learning algorithms to analyze large datasets and identify patterns that can help predict and respond to natural disasters more effectively.

Applicability, limitations, and opportunities of blockchain technology: This chapter provides an in-depth exploration of blockchain technology, discussing its potential applications in various industries, such as finance, supply chain management, and healthcare. It discusses the limitations of blockchain technology, such as scalability and security concerns, and highlights the opportunities for innovation and disruption in these fields.

The book presents novel ideas and insights on diverse aspects of data analytics, blockchain technology, and IoT. It views these technologies as interdisciplinary fields that revolve around the extraction of knowledge and insights from data. With a focus on recent advancements, the book offers a wide range of solutions to real-life challenges, emphasizing security as a paramount concern.

By integrating these three cutting-edge technologies, Intelligent Data Analytics, IoT, and Blockchain opens up a world of possibilities for researchers, industry professionals, and policymakers alike. It provides a comprehensive roadmap for developing systems and applications that harness the full potential of these technologies, enabling us to address complex problems, optimize processes, and drive innovation in a rapidly evolving digital landscape.

Weight: 840g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032442785