Akademibokhandeln
Yohei Murakami, Kosaku Kimura - Human-Centered Services Computing for Smart Cities, Häftad

Häftad, Engelska, 2025

Human-Centered Services Computing for Smart Cities

IEICE Monograph

Av Yohei Murakami, Kosaku Kimura

569 kr

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Beskrivning
This open-access book compiles seven monographs from researchers at the forefront of services computing and artificial intelligence for smart cities. This is structured into three thematic parts: service composition, big data analysis, and service integration for smart cities.The first part describes service compositions for smart cities, where interaction between services and the physical world, including humans, is paramount, unlike services on the Web and clouds. The second part addresses the challenges of big data analytics in smart cities, with a focus on privacy-preserving methodologies. The third part reports human-centered service integration for applications in smart cities.
Produktinformation
  • Utgivningsdatum: 2025-05-06
  • Mått: 155 x 235 x 21 mm
  • Vikt: 540 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 309
  • Förlag: Springer Verlag, Singapore
  • ISBN: 9789819707812
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Mer information

Yohei Murakami received the Ph.D. degree in informatics from Kyoto University in 2006. He is currently a professor at Ritsumeikan University. He founded IEICE technical committee on services computing in 2009 and served as the first chair of the committee. He has been working on the multilingual service platform called Language Grid for fifteen years. His research interests lie in services computing and multiagent systems.Kosaku Kimura received the D.Eng. degree from Kyushu University in 2010. He is a Senior Research Manager at Fujitsu Research, Fujitsu Limited (formerly Fujitsu Labs.) After joining Fujitsu Labs in 2010, he had been working on the research and development of software development technologies on cloud services. His research interests are software engineering, model-driven engineering, and services computing. He is now working on a code generation-based automated machine learning (AutoML) technology.

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