Machine Learning Techniques for Smart City Applications: Trends and Solutions

Machine Learning Techniques for Smart City Applications: Trends and Solutions
Title Machine Learning Techniques for Smart City Applications: Trends and Solutions PDF eBook
Author D. Jude Hemanth
Publisher Springer
Pages 0
Release 2023-10-04
Genre Computers
ISBN 9783031088612

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This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

Machine Learning Techniques for Smart City Applications: Trends and Solutions

Machine Learning Techniques for Smart City Applications: Trends and Solutions
Title Machine Learning Techniques for Smart City Applications: Trends and Solutions PDF eBook
Author D. Jude Hemanth
Publisher Springer Nature
Pages 227
Release 2022-09-19
Genre Computers
ISBN 303108859X

Download Machine Learning Techniques for Smart City Applications: Trends and Solutions Book in PDF, Epub and Kindle

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

Advances in Deep Learning Applications for Smart Cities

Advances in Deep Learning Applications for Smart Cities
Title Advances in Deep Learning Applications for Smart Cities PDF eBook
Author Rajeev Kumar
Publisher
Pages 325
Release 2022
Genre City planning
ISBN 9781799897101

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Industrial informatics lies at the strategic intersection of multiple disciplines that can comprehensively realize a learning vision of smart cities. This book is ideal for academicians, researchers, authors, industry experts, software engineers, and students.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Title Machine Intelligence and Data Analytics for Sustainable Future Smart Cities PDF eBook
Author Uttam Ghosh
Publisher Springer Nature
Pages 411
Release 2021-05-31
Genre Technology & Engineering
ISBN 3030720659

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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Opportunities and Challenges of Industrial IoT in 5G and 6G Networks

Opportunities and Challenges of Industrial IoT in 5G and 6G Networks
Title Opportunities and Challenges of Industrial IoT in 5G and 6G Networks PDF eBook
Author Yu, Poshan
Publisher IGI Global
Pages 321
Release 2023-06-07
Genre Computers
ISBN 1799892689

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Modern communication technologies such as 5G and 6G and the industrial internet of things have important attributes to meet the requirements of industries, and with the rapid development of the fourth industrial revolution and beyond, it is unavoidable that these will fulfill the necessary requirements of this important part of modernization. Opportunities and Challenges of Industrial IoT in 5G and 6G Networks ranges from the application of recently ratified communication standards, theoretical knowledge that provides tangible insight for understanding the principles of operation, design, implementation, and planning, to the outcomes from deployment of industrial projects. Covering topics such as 5G network programmability, industry policies, and optical networking technologies, this premier reference source is a valuable resource for computer scientists, IT specialists, industry consultants and professionals, business leaders, libraries, students, researchers, and academicians.

Security in Smart Cities: Models, Applications, and Challenges

Security in Smart Cities: Models, Applications, and Challenges
Title Security in Smart Cities: Models, Applications, and Challenges PDF eBook
Author Aboul Ella Hassanien
Publisher Springer
Pages 364
Release 2018-11-04
Genre Technology & Engineering
ISBN 3030015602

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This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges. Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications.

Emerging Trends for Securing Cyber Physical Systems and the Internet of Things

Emerging Trends for Securing Cyber Physical Systems and the Internet of Things
Title Emerging Trends for Securing Cyber Physical Systems and the Internet of Things PDF eBook
Author Bharat Bhushan
Publisher CRC Press
Pages 271
Release 2024-05-09
Genre Computers
ISBN 1040022278

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In the past decades, cyber-physical systems (CPSs) have been widely applied to fields such as smart grids, environment monitoring, aerospace, smart transportation, and industrial automation. Great strides have been made in CPSs to improve the computing mechanism, communication, and quality of service by applying optimization algorithms. Currently, these efforts are integrated with the applications of machine learning (ML) and artificial intelligence (AI). To maintain system reliability and stability, CPSs such as smart grids face numerous challenges, including large-scale Internet-of-Things (IoT) device adaptation, ever-increasing demands of electrical energy, and the rise of a wide range of security threats. These challenges bring forth the need to find sustainable and advanced solutions to guarantee reliable and secure operations in these systems. The goal of this book is to foster transformative, multidisciplinary, and novel approaches that ensure CPS security by taking into consideration the unique security challenges present in the environment. This book attracts contributions in all aspects pertaining to this multidisciplinary paradigm, which includes the development and implementation of Smart CPS, Supervisory Control and Data Acquisition (SCADA) systems, CPS for Industry 4.0, CPS architecture for IoT applications, and CPS forensics. This book: Discusses concepts including wireless sensor networks (WSNs), CPSs, and the IoT in a comprehensive manner. Covers routing protocols in sensor networks, attacks, and vulnerabilities in WSNs, the Internet of Cyber-Physical Things, and CPSs for industrial applications. Highlights technological advances, practical solutions, emerging trends, and prototypes related to privacy in CPSs and the IoT. Presents a pathway and architecture for proactive security schemes in CPSs to counter vulnerabilities, including phishing attacks, malware injection, internal stealing of data, and hacking. Discusses the most recent research and development on the enabling technologies for IoT-based CPSs. Owing to the scope and diversity of topics covered, the book will be of interest not only to researchers and theorists but also to professionals, material developers, technology specialists, and methodologists dealing with the multifarious aspects of data privacy and security enhancement in CPSs. The book will provide these professionals an overview of CPS security and privacy design, as well as enlighten them to promising solutions to research problems such as cyberattacks in CPS, risk identification and management in CPS, ML-based trust computational models for CPSs, nature-inspired algorithms for CPSs, and distributed consensus algorithms for event detection in CPSs. The secondary target audience of this book includes legal practitioners, hackers, cyber law policymakers, cyber forensic analysts, and global security consortiums who may use it to further their research exposure to pertinent topics in cybersecurity.