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Deep Learning And Big Data For Intelligent Transportation


Deep Learning And Big Data For Intelligent Transportation
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Deep Learning And Big Data For Intelligent Transportation


Deep Learning And Big Data For Intelligent Transportation
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Author : Khaled R. Ahmed
language : en
Publisher: Springer Nature
Release Date : 2021-04-10

Deep Learning And Big Data For Intelligent Transportation written by Khaled R. Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-10 with Computers categories.


This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.



Data Analytics For Intelligent Transportation Systems


Data Analytics For Intelligent Transportation Systems
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Author : Mashrur Chowdhury
language : en
Publisher: Elsevier
Release Date : 2024-11-02

Data Analytics For Intelligent Transportation Systems written by Mashrur Chowdhury and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-02 with Computers categories.


Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics



Big Data Analytics And Intelligent Techniques For Smart Cities


Big Data Analytics And Intelligent Techniques For Smart Cities
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Author : Kolla Bhanu Prakash
language : en
Publisher: CRC Press
Release Date : 2021-09-20

Big Data Analytics And Intelligent Techniques For Smart Cities written by Kolla Bhanu Prakash and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-20 with Technology & Engineering categories.


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



Internet Of Things And Artificial Intelligence In Transportation Revolution


Internet Of Things And Artificial Intelligence In Transportation Revolution
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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2021-04-14

Internet Of Things And Artificial Intelligence In Transportation Revolution written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Technology & Engineering categories.


The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.



Learning Deep Architectures For Ai


Learning Deep Architectures For Ai
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Author : Yoshua Bengio
language : en
Publisher: Now Publishers Inc
Release Date : 2009

Learning Deep Architectures For Ai written by Yoshua Bengio and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.


Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one may need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae. Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state-of-the-art in certain areas. This paper discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.



Smart Transportation


Smart Transportation
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Author : Guido Dartmann
language : en
Publisher: CRC Press
Release Date : 2021-11-10

Smart Transportation written by Guido Dartmann and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.


The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.



Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience


Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience
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Author : Laxmana Murthy Karaka
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :

Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience written by Laxmana Murthy Karaka and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy


The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John Macintyre
language : en
Publisher: Springer Nature
Release Date : 2021-11-02

The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John Macintyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-02 with Computers categories.


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.



Information Technology And Intelligent Transportation Systems


Information Technology And Intelligent Transportation Systems
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Author : L.C. Jain
language : en
Publisher: IOS Press
Release Date : 2020-03-18

Information Technology And Intelligent Transportation Systems written by L.C. Jain and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-18 with Computers categories.


Intelligent transport systems, from basic management systems to more application-oriented systems, vary in the technologies they apply. Information technologies, including wireless communication, are important in intelligent transportation systems, as are computational technologies: floating car data/floating cellular data, sensing technologies, and video vehicle detection. Theoretical and application technologies, such as emergency vehicle notification systems, automatic road enforcement and collision avoidance systems, as well as some cooperative systems are also used in intelligent transportation systems. This book presents papers selected from the 128 submissions in the field of information technology and intelligent transportation systems received from 5 countries. In December 2019 Chang’an University organized a round-table meeting to discuss and score the technical merits of each selected paper, of which 23 are included in this book. Providing a current overview of the subject, the book will be of interest to all those working in the field of intelligent transportation systems and traffic management.



Intelligent Transport Systems From Research And Development To The Market Uptake


Intelligent Transport Systems From Research And Development To The Market Uptake
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Author : Tatiana Kováčiková
language : en
Publisher: Springer
Release Date : 2018-07-06

Intelligent Transport Systems From Research And Development To The Market Uptake written by Tatiana Kováčiková and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Computers categories.


This book constitutes the proceedings of the First International Conference on Intelligent Transport Systems, INTSYS 2107, which was held in Helsinki, Finland, in November 2017. The 30 revised full papers were selected from 47 submissions and are organized in 6 thematic sessions on planning and sustainable transport and smart cities, intelligent rail transport systems, transport modelling and simulation & big data application, ITS safety and security, cooperative ITS and autonomous driving, and intelligent traffic management.