Jiang Haipeng (26 results)

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Gebundene Ausgabe. Condition: Neu. This reprint compiles cutting-edge research and insights from the Special Issue "Fire/Explosion Risk Assessment and Loss Prevention of Hazardous Materials, Mines, and Natural Gas." It addresses critical challenges in managing and mitigating risks associated with hazardous materials, mining operations, and natural gas infrastructures. The contributions explore innovative methodologies, advanced technologies, and best practices for risk assessment, safety management, and loss prevention. By integrating multidisciplinary perspectives, this reprint serves as a valuable resource for researchers, industry professionals, and policymakers aiming to enhance safety standards and reduce the potential for catastrophic incidents. The findings and recommendations presented here are particularly relevant in the context of increasing industrial complexity and the growing demand for sustainable and safe energy solutions. This reprint underscores the importance of proactive risk management and offers actionable insights to safeguard lives, assets, and the environment. Sprache: Englisch Gewicht in Gramm: 663.…

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Gebundene Ausgabe. Condition: Neu. This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book. Traditional works on the control plane largely rely on a manual process in configuring forwarding, which cannot be employed for today's network conditions. To address this issue, several artificial intelligence approaches for self-learning control strategies are introduced. In addition, resource management problems are ubiquitous in the networking field, such as job scheduling, bitrate adaptation in video streaming and virtual machine placement in cloud computing. Compared with the traditional with-box approach, the authors present some ML methods to solve the complexity network resource allocation problems. Finally, semantic comprehension function is introduced to the network to understand the high-level business intent in this book.With Software-Defined Networking (SDN), Network Function Virtualization (NFV), 5th Generation Wireless Systems (5G) development, the global network is undergoing profound restructuring and transformation. However, with the improvement of the flexibility and scalability of the networks, as well as the ever-increasing complexity of networks, makes effective monitoring, overall control, and optimization of the network extremely difficult. Recently, adding intelligence to the control plane through AI&ML become a trend and a direction of network development This book's expected audience includes professors, researchers, scientists, practitioners, engineers, industry managers, and government research workers, who work in the fields of intelligent network. Advanced-level students studying computer science and electrical engineering will also find this book useful as a secondary textbook. Sprache: Englisch Gewicht in Gramm: 507.…

Hardcover. Condition: Brand New. 262 pages. 9.25x6.10x0.79 inches. In Stock.

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint compiles cutting-edge research and insights from the Special Issue 'Fire/Explosion Risk Assessment and Loss Prevention of Hazardous Materials, Mines, and Natural Gas.' It addresses critical challenges in managing and mitigating risks associated with hazardous materials, mining operations, and natural gas infrastructures. The contributions explore innovative methodologies, advanced technologies, and best practices for risk assessment, safety management, and loss prevention. By integrating multidisciplinary perspectives, this reprint serves as a valuable resource for researchers, industry professionals, and policymakers aiming to enhance safety standards and reduce the potential for catastrophic incidents. The findings and recommendations presented here are particularly relevant in the context of increasing industrial complexity and the growing demand for sustainable and safe energy solutions. This reprint underscores the importance of proactive risk management and offers actionable insights to safeguard lives, assets, and the environment.…

Buch. Condition: Neu. Fire/Explosion Risk Assessment and Loss Prevention of Hazardous Materials, Mines and Natural Gas | Buch | Englisch | 2025 | MDPI AG | EAN 9783725835577 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize ne.…

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