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Road Traffic Modelling And Management Using Statistical Monitoring And Deep Learning

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Road Traffic Modeling and Management

Road Traffic Modeling and Management Book
Author : Fouzi Harrou,Abdelhafid Zeroual,Mohamad Mazen Hittawe,Ying Sun
Publisher : Elsevier
Release : 2021-10-05
ISBN : 0128234334
Language : En, Es, Fr & De

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Book Description :

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

Road Traffic Modeling and Management

Road Traffic Modeling and Management Book
Author : Fouzi Harrou,Abdelhafid Zeroual,Mohamad Mazen Hittawe,Ying Sun
Publisher : Elsevier
Release : 2022-01-15
ISBN : 0128234326
Language : En, Es, Fr & De

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Book Description :

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

AI and Machine Learning Paradigms for Health Monitoring System

AI and Machine Learning Paradigms for Health Monitoring System Book
Author : Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi
Publisher : Springer Nature
Release : 2021
ISBN : 9813344121
Language : En, Es, Fr & De

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Book Description :

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Artificial Intelligence Techniques for Advanced Computing Applications

Artificial Intelligence Techniques for Advanced Computing Applications Book
Author : D. Jude Hemanth,G. Vadivu,M. Sangeetha,Valentina Emilia Balas
Publisher : Springer Nature
Release : 2020-07-23
ISBN : 9811553297
Language : En, Es, Fr & De

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Book Description :

This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics

Deep Learning for Internet of Things Infrastructure

Deep Learning for Internet of Things Infrastructure Book
Author : Uttam Ghosh,Mamoun Alazab,Ali Kashif Bashir,Al-Sakib Khan Pathan
Publisher : CRC Press
Release : 2021-09-30
ISBN : 1000431894
Language : En, Es, Fr & De

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Book Description :

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)–based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

eWork and eBusiness in Architecture Engineering and Construction ECPPM 2016

eWork and eBusiness in Architecture  Engineering and Construction  ECPPM 2016 Book
Author : Symeon Christodoulou,Raimar Scherer
Publisher : CRC Press
Release : 2017-03-27
ISBN : 1315386895
Language : En, Es, Fr & De

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Book Description :

eWork and eBusiness in Architecture, Engineering and Construction 2016 collects the papers presented at the 11th European Conference on Product & Process Modelling (ECPPM 2016, Cyprus, 7-9 September 2016), The contributions cover complementary thematic areas that hold great promise for the advancement of research and technological development in the modelling of complex engineering systems, encompassing a substantial number of high quality contributions on a large spectrum of topics pertaining to ICT deployment instances in AEC/FM, including: • Information and Knowledge Management • Construction Management • Description Logics and Ontology Application in AEC • Risk Management • 5D/nD Modelling, Simulation and Augmented Reality • Infrastructure Condition Assessment • Standardization of Data Structures • Regulatory and Legal Aspects • Multi-Model and distributed Data Management • System Identification • Industrialized Production, Smart Products and Services • Interoperability • Smart Cities • Sustainable Buildings and Urban Environments • Collaboration and Teamwork • BIM Implementation and Deployment • Building Performance Simulation • Intelligent Catalogues and Services

Bridge Maintenance Safety Management Life Cycle Sustainability and Innovations

Bridge Maintenance  Safety  Management  Life Cycle Sustainability and Innovations Book
Author : Hiroshi Yokota,Dan M. Frangopol
Publisher : CRC Press
Release : 2021-04-20
ISBN : 1000173755
Language : En, Es, Fr & De

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Book Description :

Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations contains lectures and papers presented at the Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), held in Sapporo, Hokkaido, Japan, April 11–15, 2021. This volume consists of a book of extended abstracts and a USB card containing the full papers of 571 contributions presented at IABMAS 2020, including the T.Y. Lin Lecture, 9 Keynote Lectures, and 561 technical papers from 40 countries. The contributions presented at IABMAS 2020 deal with the state of the art as well as emerging concepts and innovative applications related to the main aspects of maintenance, safety, management, life-cycle sustainability and technological innovations of bridges. Major topics include: advanced bridge design, construction and maintenance approaches, safety, reliability and risk evaluation, life-cycle management, life-cycle sustainability, standardization, analytical models, bridge management systems, service life prediction, maintenance and management strategies, structural health monitoring, non-destructive testing and field testing, safety, resilience, robustness and redundancy, durability enhancement, repair and rehabilitation, fatigue and corrosion, extreme loads, and application of information and computer technology and artificial intelligence for bridges, among others. This volume provides both an up-to-date overview of the field of bridge engineering and significant contributions to the process of making more rational decisions on maintenance, safety, management, life-cycle sustainability and technological innovations of bridges for the purpose of enhancing the welfare of society. The Editors hope that these Proceedings will serve as a valuable reference to all concerned with bridge structure and infrastructure systems, including engineers, researchers, academics and students from all areas of bridge engineering.

Large Scale Networks

Large Scale Networks Book
Author : Radu Dobrescu,Florin Ionescu
Publisher : CRC Press
Release : 2016-10-03
ISBN : 1315351390
Language : En, Es, Fr & De

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Book Description :

This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history.

Advanced Statistical Modeling Forecasting and Fault Detection in Renewable Energy Systems

Advanced Statistical Modeling  Forecasting  and Fault Detection in Renewable Energy Systems Book
Author : Fouzi Harrou,Ying Sun
Publisher : BoD – Books on Demand
Release : 2020-04-01
ISBN : 1838800913
Language : En, Es, Fr & De

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Book Description :

Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.

Deep Learning and Big Data for Intelligent Transportation

Deep Learning and Big Data for Intelligent Transportation Book
Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Release : 2021
ISBN : 3030656616
Language : En, Es, Fr & De

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Book Description :

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.

Applications of Artificial Intelligence and Machine Learning

Applications of Artificial Intelligence and Machine Learning Book
Author : Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar
Publisher : Springer Nature
Release : 2021
ISBN : 9811630674
Language : En, Es, Fr & De

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Book Description :

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor network, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics and practitioners in industry working on AI applications.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC Big Data and AI

Driving Scientific and Engineering Discoveries Through the Convergence of HPC  Big Data and AI Book
Author : Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn
Publisher : Springer Nature
Release : 2020-12-22
ISBN : 3030633934
Language : En, Es, Fr & De

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Book Description :

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

Urban Intelligence and Applications

Urban Intelligence and Applications Book
Author : Xiaohui Yuan,Mohamed Elhoseny,Jianfang Shi
Publisher : Springer Nature
Release : 2020-12-18
ISBN : 9813346019
Language : En, Es, Fr & De

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Book Description :

This book constitutes revised papers from the Second International Conference on Urban Intelligence and Applications, ICUIA 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 26 papers were thoroughly reviewed and selected from 122 submissions. They are organised in the topical sections on technology and infrastructure; community and wellbeing; mobility and transportation; security, safety, and emergency management.

Prognostics and Health Management of Electronics

Prognostics and Health Management of Electronics Book
Author : Michael G. Pecht
Publisher : John Wiley & Sons
Release : 2008-09-11
ISBN : 0470385839
Language : En, Es, Fr & De

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Book Description :

The first book on Prognostics and Health Management of Electronics Recently, the field of prognostics for electronic products has received increased attention due to the potential to provide early warning of system failures, forecast maintenance as needed, and reduce life cycle costs. In response to the subject's growing interest among industry, government, and academic professionals, this book provides a road map to the current challenges and opportunities for research and development in Prognostics and Health Management (PHM). The book begins with a review of PHM and the techniques being developed to enable a prognostics approach for electronic products and systems. building on this foundation, the book then presents the state of the art in sensor systems for in-situ health and usage monitoring. Next, it discusses the various models and algorithms that can be utilized in PHM. Finally, it concludes with a discussion of the opportunities in future research. Readers can use the information in this book to: Detect and isolate faults Reduce the occurrence of No Fault Found (NFF) Provide advanced warning of system failures Enable condition-based (predictive) maintenance Obtain knowledge of load history for future design, qualification, and root cause analysis Increase system availability through an extension of maintenance cycles and/or timely repair actions Subtract life cycle costs of equipment from reduction in inspection costs, down time, and inventory Prognostics and Health Management of Electronics is an indispensable reference for electrical engineers in manufacturing, systems maintenance, and management, as well as design engineers in all areas of electronics.

Machine Learning for Cyber Security

Machine Learning for Cyber Security Book
Author : Xiaofeng Chen,Hongyang Yan,Qiben Yan,Xiangliang Zhang
Publisher : Springer Nature
Release : 2020-11-10
ISBN : 3030622231
Language : En, Es, Fr & De

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Book Description :

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.

Systems Decision and Control in Energy II

Systems  Decision and Control in Energy II Book
Author : Artur Zaporozhets,Volodymyr Artemchuk
Publisher : Springer Nature
Release : 2021
ISBN : 3030691896
Language : En, Es, Fr & De

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Book Description :

This book examines the problems in the field of energy and related fields (chemical, transport, aerospace, construction, metallurgy, engineering, etc.) and consists of 4 subsections: Electrical Engineering, Heat Power Engineering, Cybersecurity and Computer Science & Environmental Safety. In the first section, authors pay attention to contemporary issues related to the development of the electric power industry, electrical engineering, the physics of electrical phenomena and renewable energy sources (such as solar energy and wind energy). The second section is devoted to modern problems in heat power engineering and considers modern means and methods that increase the efficiency and reliability of the functioning of heat power facilities. The third section is devoted to issues of cybersecurity of critical facilities, in particular energy facilities, as well as the development of computer science and the introduction of modern information and measurement systems in the energy sector. The fourth subsection deals with the problems of rational use of natural resources, accounting for emissions of harmful substances, environmental issues at energy facilities, as well as the development of a methodology for environmental safety. The book includes 21 chapters. A book is for researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with issues of control, diagnosis and monitoring of energy facilities.

Advances in Computer Science for Engineering and Education IV

Advances in Computer Science for Engineering and Education IV Book
Author : Zhengbing Hu,Sergeĭ Valentinovich Petukhov,Ivan Dychka,Matthew He
Publisher : Springer Nature
Release : 2021
ISBN : 3030804720
Language : En, Es, Fr & De

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Book Description :

This book comprises high-quality refereed research papers presented at the Fourth International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2021), held in Kyiv, Ukraine, on January 23-24, 2021, organized jointly by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science, artificial intelligence, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications in education. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.

Proceedings of International Ethical Hacking Conference 2019

Proceedings of International Ethical Hacking Conference 2019 Book
Author : Mohuya Chakraborty,Satyajit Chakrabarti,Valentina E. Balas
Publisher : Springer Nature
Release : 2019-11-29
ISBN : 9811503613
Language : En, Es, Fr & De

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Book Description :

This book gathers the peer-reviewed proceedings of the International Ethical Hacking Conference, eHaCON 2019, the second international conference of its kind, which was held in Kolkata, India, in August 2019. Bringing together the most outstanding research papers presented at the conference, the book shares new findings on computer network attacks and defenses, commercial security solutions, and hands-on, real-world security lessons learned. The respective sections include network security, ethical hacking, cryptography, digital forensics, cloud security, information security, mobile communications security, and cyber security.

Statistical Machine Learning for Human Behaviour Analysis

Statistical Machine Learning for Human Behaviour Analysis Book
Author : Thomas Moeslund,Sergio Escalera,Gholamreza Anbarjafari,Kamal Nasrollahi,Jun Wan
Publisher : MDPI
Release : 2020-06-17
ISBN : 3039362283
Language : En, Es, Fr & De

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Book Description :

This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.

Progress in Computing Analytics and Networking

Progress in Computing  Analytics and Networking Book
Author : Himansu Das,Prasant Kumar Pattnaik,Siddharth Swarup Rautaray,Kuan-Ching Li
Publisher : Springer Nature
Release : 2020
ISBN : 9811524149
Language : En, Es, Fr & De

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Book Description :

"This book focuses on new and original research ideas and findings in three broad areas: computing, analytics, and networking and their potential applications in the various domains of engineering - an emerging, interdisciplinary area in which a wide range of theories and methodologies are being investigated and developed to tackle complex and challenging real-world problems. The book also features keynote presentations and papers from the International Conference on Computing Analytics and Networking (ICCAN 2019), which offers an open forum for scientists, researchers and technocrats in academia and industry from around the globe to present and share state-of-the-art concepts, prototypes, and innovative research ideas in diverse fields. Providing inspiration for postgraduate students and young researchers working in the field of computer science & engineering, the book also discusses hardware technologies and future communication technologies, making it useful for those in the field of electronics." -- Prové de l'editor.