Real-Time Applications of Machine Learning in Cyber-Physical Systems, Easwaran Balamurugan, Hiran Kamal Kant, Krishnan Sangeetha
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Recent Advances in Internet of Things and Machine Learning: Real-World Applications ISBN: 3030901181 ISBN-13(EAN): 9783030901189 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Автор: Awad Ali Ismail, Furnell Steven, Paprzycki Marcin Название: Security in Cyber-Physical Systems: Foundations and Applications ISBN: 303067360X ISBN-13(EAN): 9783030673604 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Realizing Cyber-Physical Systems Resilience Frameworks and Security Practices.- Machine learning for fostering security in Cyber-Physical systems.- Security of Cyber-Physical Monitoring and Warning Systems for Natural and Technological Threats.- Secure Dynamic Nonlinear Heterogeneous Vehicle Platooning: Denial-of-Service Cyber-Attack Case.
Автор: Masrour Tawfik, El Hassani Ibtissam, Cherrafi Anass Название: Artificial Intelligence and Industrial Applications: Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering Appli ISBN: 3030539695 ISBN-13(EAN): 9783030539696 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A Study of Energy Reduction Strategies in Renewable Hybrid Grid.- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks.- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout.- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions.- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks.- Toward Intelligent Solution to Identify Learner Attitude from Source Code.
Автор: Huang Chuanchao, Chan Yu-Wei, Yen Neil Название: Data Processing Techniques and Applications for Cyber-Physical Systems (Dpta 2019) ISBN: 9811514674 ISBN-13(EAN): 9789811514678 Издательство: Springer Цена: 279500.00 T Наличие на складе: Поставка под заказ. Описание: Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15-16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks;
Автор: Kravets Alla G., Bolshakov Alexander A., Shcherbakov Maxim V. Название: Cyber-Physical Systems: Digital Technologies and Applications ISBN: 3030678911 ISBN-13(EAN): 9783030678913 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book offers ideas to help improve digital technologies and increase their efficiency during implementation and application for researchers and practitioners.
The outstanding position of the book among others is that it dwells with cyber-physical systems' progress and proposes ideas and finding around digital tools and technologies and their application. A distinguished contribution is in presenting results on Digital Twins development and application, enhancing approaches of communication and information transferring between cyber-physical systems connected within the Internet of things platforms, computer linguistic as a part of cyber-physical systems, intelligent cybersecurity and computer vision systems.
The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of manufacturing and industry who are interested in creating and implementing of cyber-physical systems in framework of digitalization projects.
L`ouvrage porte sur la « trajectivite », un terme emprunte a la mesologie d`Augustin Berque et qui se definit comme un mouvement d`aller-retour entre les « moments » de la reception et de la creation. Posant les rapports a la litterature sous l`angle phenomenologique, il ouvre une perspective nouvelle aux etudes litteraires et traductologiques.
Автор: Mundada Monica R., Seema S., K. G. Srinivasa Название: Deep Learning Applications for Cyber-Physical Systems ISBN: 179988161X ISBN-13(EAN): 9781799881612 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 260570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications.
Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.
Автор: Mundada Monica R., Seema S., K. G. Srinivasa Название: Deep Learning Applications for Cyber-Physical Systems ISBN: 1799881628 ISBN-13(EAN): 9781799881629 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 196810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analysing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems.
Автор: Awad Ali Ismail, Furnell Steven, Paprzycki Marcin Название: Security in Cyber-Physical Systems: Foundations and Applications ISBN: 3030673634 ISBN-13(EAN): 9783030673635 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a relevant reference for any readers interested in the security aspects of Cyber-Physical Systems and particularly useful for those looking to keep informed on the latest advances in this dynamic area. Cyber-Physical Systems (CPSs) are characterized by the intrinsic combination of software and physical components. Inherent elements often include wired or wireless data communication, sensor devices, real-time operation and automated control of physical elements. Typical examples of associated application areas include industrial control systems, smart grids, autonomous vehicles and avionics, medial monitoring and robotics. The incarnation of the CPSs can therefore range from considering individual Internet-of-Things devices through to large-scale infrastructures. Presented across ten chapters authored by international researchers in the field from both academia and industry, this book offers a series of high-quality contributions that collectively address and analyze the state of the art in the security of Cyber-Physical Systems and related technologies. The chapters themselves include an effective mix of theory and applied content, supporting an understanding of the underlying security issues in the CPSs domain, alongside related coverage of the technological advances and solutions proposed to address them. The chapters comprising the later portion of the book are specifically focused upon a series of case examples, evidencing how the protection concepts can translate into practical application.
Автор: Yves Demazeau; Paul Davidsson; Javier Bajo; Zita V Название: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection ISBN: 3319599291 ISBN-13(EAN): 9783319599298 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 11 revised full papers, 11 short papers, and 17 Demo papers were carefully reviewed and selected from 63 submissions.
Автор: LV Chen, Xing Yang, Zhang Junzhi Название: Cyber-Physical Vehicle Systems: Methodology and Applications ISBN: 1681737310 ISBN-13(EAN): 9781681737317 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 37890.00 T Наличие на складе: Нет в наличии. Описание:
This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems.
First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber physical vehicle systems.
Автор: Chen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao Название: Cyber-Physical Vehicle Systems: Methodology and Applications ISBN: 1681737337 ISBN-13(EAN): 9781681737331 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 57290.00 T Наличие на складе: Нет в наличии. Описание: This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems.
First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber physical vehicle systems.
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