Assigning Robust Default Values in Building Performance Simulation Software for Improved Decision-Making in the Initial Stages of Building Design by Kyosuke Hiyama

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Regional classification maps for engineered natural ventilation design of office buildings in Japan by Kyosuke Hiyama

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Application of artificial neural network for natural ventilation schemes to control operable windows by Thanyalak Srisamranrungruang, Kyosuke Hiyama

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Transfer learning for forecasting hourly indoor air temperatures of buildings with electrochromic glass by Thanyalak Srisamranrungruang, Kyosuke Hiyama

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Trend analysis of CASBEE Wellness Office certified properties by Kyosuke Hiyama, Tatsuya Hayashi, Ryutaro Kubo

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CASBEE‐Wellness Office: An objective measure of the building potential for a healthily built environment by Tatsuya Hayashi, Kyosuke Hiyama, Ryutaro Kubo

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Operation strategy for engineered natural ventilation using machine learning under sparse data conditions by Kyosuke Hiyama, Kenichiro Takeuchi, Yuichi Omodaka, Thanyalak Srisamranrungruang

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Adaptation of electrochromic glass into an airflow window system and its performance evaluation by Yuichi Omodaka, Kyosuke Hiyama, Yutaka Oura, Yukiyasu Asaoka

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Operational performance and environmental satisfaction survey of a university building with large learning commons by Yuma Tokuwaki, Takeru Kamide, Satoshi Hirakawa, Jun Maruyama, Kyosuke Hiyama

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Regional adaptivity of electrochromic glazing in Japan and operational improvement in energy saving using machine learning by Takuma Kobayashi, Kyosuke Hiyama, Yuichi Omodaka, Yutaka Oura, Yukiyasu Asaoka

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