Network Learning And Propagation Dynamics Analysis
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Network Learning And Propagation Dynamics Analysis
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Author : Xuzhen Zhu
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-08
Network Learning And Propagation Dynamics Analysis written by Xuzhen Zhu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Science categories.
Many phenomena in the fields of computer science, biology, sociology, and economics can be described as transmission dynamics on complex networks, and transmission dynamics mainly includes information transmission, disease transmission, and computer virus transmission. In many real propagation phenomena, we often want to know their propagation mechanism and law on complex networks, as well as their prediction methods and control means. Clarifying the above problems allows people to have a clear and comprehensive understanding of the evolution mechanism, propagation process, and steady-state of real phenomena. At the same time, it also provides some necessary theoretical support for predicting and controlling real systems. In recent years, many concepts and methods of statistical physics have also been successfully used in the modeling and calculation of complex networks, such as statistical mechanics, self-organization theory, critical and phase transition theory, seepage theory, and so on. In complex networks, seepage can simulate and describe the growth and evolution characteristics of many natural and social systems. Based on the classical network seepage, people have carried out a lot of research on the explosive seepage in the process of network growth in recent years. Using the seepage method, researchers have drawn many conclusions and brought new ideas in the research directions of network propagation and cascade failure. Based on these theories, many researchers have quantitatively analyzed the influence of many factors on transmission path and transmission mechanism, and then discussed the effect of the control strategy.
Network Mining And Propagation Dynamics Analysis
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Author : Xuzhen Zhu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-01
Network Mining And Propagation Dynamics Analysis written by Xuzhen Zhu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Science categories.
Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid
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Author : Xin Ning
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-23
Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid written by Xin Ning and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Technology & Engineering categories.
Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.
Wireless Internet
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Author : Zygmunt J. Haas
language : en
Publisher: Springer Nature
Release Date : 2023-02-17
Wireless Internet written by Zygmunt J. Haas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 15th International Conference on Wireless Internet, WiCON 2022, held in November 2022. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers were selected from 45 submissions and are grouped into the following topics: Security and privacy; blockchain and wireless networks; Resource management, routing, and internet computing; social networks and learning.
Enhanced Bayesian Network Models For Spatial Time Series Prediction
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Author : Monidipa Das
language : en
Publisher: Springer Nature
Release Date : 2019-11-07
Enhanced Bayesian Network Models For Spatial Time Series Prediction written by Monidipa Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Technology & Engineering categories.
This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Backpropagation
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Author : Yves Chauvin
language : en
Publisher: Psychology Press
Release Date : 2013-02-01
Backpropagation written by Yves Chauvin and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Psychology categories.
Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation learning. Finally, the third section shows how these principles can be applied to a number of different fields related to the cognitive sciences, including control, speech recognition, robotics, image processing, and cognitive psychology. The volume is designed to provide both a solid theoretical foundation and a set of examples that show the versatility of the concepts. Useful to experts in the field, it should also be most helpful to students seeking to understand the basic principles of connectionist learning and to engineers wanting to add neural networks in general -- and backpropagation in particular -- to their set of problem-solving methods.
Reciprocity Evolution And Decision Games In Network And Data Science
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Author : Yan Chen
language : en
Publisher: Cambridge University Press
Release Date : 2021-07-22
Reciprocity Evolution And Decision Games In Network And Data Science written by Yan Chen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Computers categories.
A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.
Proceedings Of The 13th International Conference On Computer Engineering And Networks
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Author : Yonghong Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-01-03
Proceedings Of The 13th International Conference On Computer Engineering And Networks written by Yonghong Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Technology & Engineering categories.
This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.
Cyber Threat Intelligence
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Author : Ali Dehghantanha
language : en
Publisher: Springer
Release Date : 2018-04-27
Cyber Threat Intelligence written by Ali Dehghantanha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.
This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.