Big Data Analytics And Intelligent Techniques For Smart Cities

Big Data Analytics And Intelligent Techniques For Smart Cities Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Big Data Analytics And Intelligent Techniques For Smart Cities book. This book definitely worth reading, it is an incredibly well-written.

Big Data Analytics and Intelligent Techniques for Smart Cities

Kolla Bhanu Prakash,Janmenjoy Nayak,B Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Big Data Analytics and Intelligent Techniques for Smart Cities Book PDF

Author : Kolla Bhanu Prakash,Janmenjoy Nayak,B Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Publisher : CRC Press
Page : 297 pages
File Size : 41,8 Mb
Release : 2021-09-20
Category : Technology & Engineering
ISBN : 9781000413311

Get Book

Big Data Analytics and Intelligent Techniques for Smart Cities by Kolla Bhanu Prakash,Janmenjoy Nayak,B Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas Pdf

Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

Smart Cities: A Data Analytics Perspective

Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Smart Cities A Data Analytics Perspective Book PDF

Author : Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Publisher : Springer Nature
Page : 322 pages
File Size : 45,9 Mb
Release : 2020-12-11
Category : Technology & Engineering
ISBN : 9783030609221

Get Book

Smart Cities: A Data Analytics Perspective by Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim Pdf

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

IoT and Big Data Analytics for Smart Cities

Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
IoT and Big Data Analytics for Smart Cities Book PDF

Author : Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 215 pages
File Size : 42,8 Mb
Release : 2022-12-01
Category : Computers
ISBN : 9781000789669

Get Book

IoT and Big Data Analytics for Smart Cities by Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Book PDF

Author : Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan
Publisher : Springer Nature
Page : 411 pages
File Size : 50,6 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9783030720650

Get Book

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan Pdf

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.

Data Analytics for Smart Cities

Amir Alavi,William G. Buttlar
Data Analytics for Smart Cities Book PDF

Author : Amir Alavi,William G. Buttlar
Publisher : CRC Press
Page : 240 pages
File Size : 55,9 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9780429786631

Get Book

Data Analytics for Smart Cities by Amir Alavi,William G. Buttlar Pdf

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Video Data Analytics for Smart City Applications: Methods and Trends

Abhishek Singh Rathore
Video Data Analytics for Smart City Applications Methods and Trends Book PDF

Author : Abhishek Singh Rathore
Publisher : Bentham Science Publishers
Page : 150 pages
File Size : 54,8 Mb
Release : 2023-04-20
Category : Computers
ISBN : 9789815123708

Get Book

Video Data Analytics for Smart City Applications: Methods and Trends by Abhishek Singh Rathore Pdf

Video data analytics is rapidly evolving and transforming the way we live in urban environments. Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.

Big Data Analytics for Smart and Connected Cities

Dey, Nilanjan,Tamane, Sharvari
Big Data Analytics for Smart and Connected Cities Book PDF

Author : Dey, Nilanjan,Tamane, Sharvari
Publisher : IGI Global
Page : 348 pages
File Size : 52,9 Mb
Release : 2018-09-07
Category : Technology & Engineering
ISBN : 9781522562085

Get Book

Big Data Analytics for Smart and Connected Cities by Dey, Nilanjan,Tamane, Sharvari Pdf

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.

Smart Cities: Big Data Prediction Methods and Applications

Hui Liu
Smart Cities Big Data Prediction Methods and Applications Book PDF

Author : Hui Liu
Publisher : Springer Nature
Page : 314 pages
File Size : 52,8 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9789811528378

Get Book

Smart Cities: Big Data Prediction Methods and Applications by Hui Liu Pdf

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.

Data Analytics for Smart Grids Applications—A Key to Smart City Development

Devendra Kumar Sharma,Rohit Sharma,Gwanggil Jeon,Raghvendra Kumar
Data Analytics for Smart Grids Applications A Key to Smart City Development Book PDF

Author : Devendra Kumar Sharma,Rohit Sharma,Gwanggil Jeon,Raghvendra Kumar
Publisher : Springer Nature
Page : 466 pages
File Size : 54,5 Mb
Release : 2024-01-03
Category : Computers
ISBN : 9783031460920

Get Book

Data Analytics for Smart Grids Applications—A Key to Smart City Development by Devendra Kumar Sharma,Rohit Sharma,Gwanggil Jeon,Raghvendra Kumar Pdf

This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

Big Data Analytics for Smart Urban Systems

Saeid Pourroostaei Ardakani,Ali Cheshmehzangi
Big Data Analytics for Smart Urban Systems Book PDF

Author : Saeid Pourroostaei Ardakani,Ali Cheshmehzangi
Publisher : Springer Nature
Page : 143 pages
File Size : 50,6 Mb
Release : 2023-10-29
Category : Science
ISBN : 9789819955435

Get Book

Big Data Analytics for Smart Urban Systems by Saeid Pourroostaei Ardakani,Ali Cheshmehzangi Pdf

Big Data Analytics for Smart Urban Systems aims to introduce Big data solutions for urban sustainability smart applications, particularly for smart urban systems. It focuses on intelligent big data which takes the benefits of machine learning to analyse large and rapidly changing datasets in smart urban systems. The state-of-the-art Big data analytics applications are presented and discussed to highlight the feasibility of big data and machine learning solutions to enhance smart urban systems, smart operations, urban management, and urban governance. The key benefits of this book are, (1) to introduce the principles of machine learning-enabled big data analysis in smart urban systems, (2) to present the state-of-the-art data analysis solutions in smart management and operations, and (3) to understand the principles of big data analytics for smart cities and communities. Endorsements ‘Over the many years of collaboration between academia and industry, we noticed the common language is ‘big data’; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science’.- Tian Tang, Independent Researcher, China ‘Big Data Analytics is a fascinating research area, particularly for cities and city transformations. This book is valuable to those who think vigorously and aim to act ahead’.- Li Xie, Independent Researcher, China ‘For urban critiques, knowledge trains aspiring opportunities toward outstanding manifestations. Smartness has evolved or/ advanced rambunctious & embracing realities along (with) novel directions and nurturing integrated city knowledge’.- Aaron Golden, SELECT Consultants, UK

Artificial Intelligence and Machine Learning in Smart City Planning

Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan
Artificial Intelligence and Machine Learning in Smart City Planning Book PDF

Author : Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan
Publisher : Elsevier
Page : 362 pages
File Size : 51,6 Mb
Release : 2023-01-11
Category : Business & Economics
ISBN : 9780323995047

Get Book

Artificial Intelligence and Machine Learning in Smart City Planning by Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan Pdf

Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities Explains soft computing techniques for smart city applications Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences

Data Science and Big Data Analytics in Smart Environments

Marta Chinnici,Florin Pop,Catalin Negru
Data Science and Big Data Analytics in Smart Environments Book PDF

Author : Marta Chinnici,Florin Pop,Catalin Negru
Publisher : CRC Press
Page : 305 pages
File Size : 40,9 Mb
Release : 2021-07-28
Category : Computers
ISBN : 9781000386011

Get Book

Data Science and Big Data Analytics in Smart Environments by Marta Chinnici,Florin Pop,Catalin Negru Pdf

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment. Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.

Intelligent Techniques for Predictive Data Analytics

Neha Singh,Shilpi Birla,Mohd Dilshad Ansari,Neeraj Kumar Shukla
Intelligent Techniques for Predictive Data Analytics Book PDF

Author : Neha Singh,Shilpi Birla,Mohd Dilshad Ansari,Neeraj Kumar Shukla
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 45,8 Mb
Release : 2024-06-21
Category : Computers
ISBN : 9781394227976

Get Book

Intelligent Techniques for Predictive Data Analytics by Neha Singh,Shilpi Birla,Mohd Dilshad Ansari,Neeraj Kumar Shukla Pdf

Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

Big Data Analytics for Cyber-Physical System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 2049 pages
File Size : 55,9 Mb
Release : 2020-01-11
Category : Technology & Engineering
ISBN : 9789811525681

Get Book

Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

AI-Based Services for Smart Cities and Urban Infrastructure

Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
AI Based Services for Smart Cities and Urban Infrastructure Book PDF

Author : Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publisher : IGI Global
Page : 353 pages
File Size : 46,6 Mb
Release : 2020-09-04
Category : Computers
ISBN : 9781799850250

Get Book

AI-Based Services for Smart Cities and Urban Infrastructure by Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan Pdf

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.