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Machine Learning Applications In Software Engineering

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出版日:2024/06/01 作者:Saurabh Prasad(EDI)  出版社:Elsevier  裝訂:平裝
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出版日:2025/07/01 作者:Biswajeet Pradhan(EDI)  出版社:Elsevier  裝訂:平裝
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出版日:2024/06/17 作者:Samrana Kazim(EDI)  出版社:Elsevier  裝訂:平裝
Photoelectrochemical Engineering for Solar Harvesting provides an up-to-date appraisal of the photon engineering of innovative catalysts for solar energy harvesting. Sunlight-driven fuel synthesis is the most sustainable and potentially economical option for producing energy vectors through water splitting. Thus this book focuses on the design of photocatalysts and water oxidation catalysts, as artificial photosynthesis and hydrogen fuel production via water oxidation (in place of fossil fuels) are two promising approaches towards renewable energy. The book critically analyzes the overall progress, potential challenges, and the possibility of industrialization of new catalysts in the near future. The primary emphasis of the discussion is on experimental approaches from materials synthesis to device applications, however, there will also be some introduction to relevant photochemistry concepts. Photoelectrochemical Engineering for Solar Harvesting is suitable for materials scientists an
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2025/03/14 作者:Francesca Pagliara  出版社:Elsevier  裝訂:平裝
Models and Applications of Tourists' Travel Behavior provides an overview of all possible approaches to modeling tourists' travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data. The book begins with the role of transport in tourist' travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning
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