Jun Zhang – författare
1 895 kr
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1 403 kr
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Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encyclopedia for energy-storage-related areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.
Designed to be a suitable text for Energy, Energy Storage, and Power System-related courses for post-graduate studentsIncludes algorithms, methods, and programs designed to be used as technical-encyclopedia for energy-storage-related areasFeatures real applications, including energy storage in electrical power grids and transportation systems and in Environmental Impaction with Battery Recycling and Ladder Utilization1 522 kr
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Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.
Presents the challenges and opportunities of leveraging data and model-driven machine learning methodologies for achieving low-latency communicationsExplains the principles and practices of modern machine learning algorithms (e.g., algorithm unrolling, multiarmed bandit, graph neural network, and multi-agent reinforcement learning) for achieving low-latency communicationsGives design, modeling, and optimization methods for low-latency communications that apply appropriate learning methods to solve longstanding problemsProvides full details of the simulation setup and benchmarking algorithms, with downloadable codeOutlines future research challenges and directions1 218 kr
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637 kr
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1 640 kr
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373 kr
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1 104 kr
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1 112 kr
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247 kr
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Machine Learning for Cyber Security
Second International Conference, ML4CS 2019, Xi’an, China, September 19-21, 2019, Proceedings
558 kr
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427 kr
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427 kr
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668 kr
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Network and System Security
14th International Conference, NSS 2020, Melbourne, VIC, Australia, November 25–27, 2020, Proceedings
998 kr
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2 359 kr
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2 359 kr
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Algorithms and Architectures for Parallel Processing
13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part II
561 kr
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Advances in Web-Based Learning -- ICWL 2015
14th International Conference, Guangzhou, China, November 5-8, 2015, Proceedings
509 kr
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1 879 kr
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1 329 kr
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1 361 kr
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1 108 kr
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1 108 kr
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561 kr
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561 kr
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545 kr
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542 kr
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1 076 kr
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1 076 kr
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