Search Results - "Akashi, Yasunori"

Bayesian prediction model of thermally satisfied occupants considering stochasticity due to inter- and intra-individual thermal sensation variations by Lim, Jongyeon, Choi, Wonjun, Akashi, Yasunori, Yoshimoto, Naoki, Ooka, Ryozo

“…A data-driven probabilistic model is proposed to predict the group-level thermal satisfaction of occupants subjected to a given thermal condition. This model…”
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Impact of androgen deprivation therapy on cognitive function in men with prostate cancer by Yamamoto, Yutaka, Akashi, Yasunori, Kiba, Keisuke, Hirayama, Akihide, Uemura, Hirotsugu

“…Abbreviations ADT androgen deprivation therapy HCs healthy controls IMRT intensity-modulated radiotherapy LH–RH luteinizing hormone–releasing hormone MMSE…”
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Hierarchical Bayesian modeling for predicting ordinal responses of personalized thermal sensation: Application to outdoor thermal sensation data by Lim, Jongyeon, Akashi, Yasunori, Song, Doosam, Hwang, Hyokeun, Kuwahara, Yasuhiro, Yamamura, Shinji, Yoshimoto, Naoki, Itahashi, Kazuo

“…A concept known as ‘nudge’ has recently received attention in many application domains. It implies influencing the behavior and decision-making of individuals…”
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Clinical features of detrusor underactivity in elderly men without neurological disorders by Kiba, Keisuke, Akashi, Yasunori, Yamamoto, Yutaka, Hirayama, Akihide, Fujimoto, Kiyohide, Uemura, Hirotsugu

“…Objectives To investigate the clinical features of detrusor underactivity (DU) in elderly men without neurological disorders. Methods A total of 336 men aged…”
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Optimal set-point regulation in HVAC system for controllability and energy efficiency by Miyata, Shohei, Lim, Jongyeon, Akashi, Yasunori, Kuwahara, Yasuhiro

“…The energy management of heating, ventilating, and air-conditioning (HVAC) system is a primary concern in building projects. Although they allow us to identify…”
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Fault detection in HVAC systems using a distribution considering uncertainties by Miyata, Shohei, Akashi, Yasunori, Lim, Jongyeon, Kuwahara, Yasuhiro

“…Detecting and diagnosing faults that degrade the performance of heating, ventilation, and air conditioning (HVAC) systems is very important for maintaining…”
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Effects of utilizing seawater as a cooling source system in a commercial complex by Song, Young-hak, Akashi, Yasunori, Yee, Jurng-Jae

“…This paper treats energy and cost performance of a cooling source system with indirect seawater utilization for air conditioning in a commercial complex…”
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Design procedure for dual air handling unit of air-conditioning system by Aziz, Azizuddin Abd, Sumiyoshi, Daisuke, Akashi, Yasunori

“…The use of conventional air-conditioning system in tropical climate is ineffective to reduce the humidity. In a typical application, the indoor temperature has…”
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Serious Hypokalemia Associated with Abiraterone Acetate in Patients with Castration-Resistant Prostate Cancer by Uemura, Hirotsugu, Yoshikawa, Motokiyo, Kiba, Keisuke, Nozawa, Masahiro, Minami, Takahumi, Akashi, Yasunori, Yamamoto, Yutaka, Hirayama, Akihide

“…Introduction. The treatment strategy for castration-resistant prostate cancer (CRPC) has changed with the approval of several new agents. In 2011, abiraterone…”
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Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention by Gao, Yuan, Miyata, Shohei, Akashi, Yasunori

“…With the rapid development of high-performance computing technology, data-driven models, especially deep learning models, are being used increasingly for solar…”
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How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method by Gao, Yuan, Miyata, Shohei, Akashi, Yasunori

“…Automated fault detection and diagnosis (AFDD) plays a crucial role in enhancing the energy efficiency of air conditioning systems. Deep learning has emerged…”
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Multi-step solar irradiation prediction based on weather forecast and generative deep learning model by Gao, Yuan, Miyata, Shohei, Akashi, Yasunori

“…With the rapid development of computer technology, more and more deep learning models are used in solar radiation (irradiation) prediction. There have been a…”
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Energy saving and indoor temperature control for an office building using tube-based robust model predictive control by Gao, Yuan, Miyata, Shohei, Akashi, Yasunori

“…Actively controlling a building’s heating, ventilation, and air conditioning (HVAC) system can reduce costs and improve indoor comfort. Model predictive…”
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Event-driven model-based optimal demand-controlled ventilation for multizone VAV systems: Enhancing energy efficiency and indoor environmental quality by Shi, Shanrui, Miyata, Shohei, Akashi, Yasunori

“…Model-based optimal demand-controlled ventilation (DCV) for multizone variable air volume (VAV) systems has significant potential for reducing energy…”
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Operational optimization for off-grid renewable building energy system using deep reinforcement learning by Gao, Yuan, Matsunami, Yuki, Miyata, Shohei, Akashi, Yasunori

“…With the application of renewable energy in single office buildings, an increasing number of power grids require building systems coupled with renewable energy…”
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Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation by Gao, Yuan, Miyata, Shohei, Akashi, Yasunori

“…Automated fault detection and diagnosis (AFDD) plays a crucial role in enhancing the energy efficiency of air-conditioning systems; its quantitative impact has…”
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Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system by Gao, Yuan, Matsunami, Yuki, Miyata, Shohei, Akashi, Yasunori

“…With the application of renewable energy in building energy systems (BES), an increasing number of power grids require building energy systems coupled to…”
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Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system by Gao, Yuan, Shi, Shanrui, Miyata, Shohei, Akashi, Yasunori

“…Reinforcement Learning (RL), a promising algorithm for the operational control of Heating, Ventilation, and Air Conditioning (HVAC) systems, has garnered…”
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Spatio-temporal interpretable neural network for solar irradiation prediction using transformer by Gao, Yuan, Miyata, Shohei, Matsunami, Yuki, Akashi, Yasunori

“…Deep learning models have been increasingly applied in the field of solar radiation prediction. However, the characteristics of a deep learning black box model…”
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Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning by Miyata, Shohei, Kuwahara, Yasuhiro, Tsunemoto, Shoko, Tanaka, Katsuhiko, Akashi, Yasunori

“…Automated fault detection and diagnosis (AFDD) is crucial for improving the energy efficiency of air conditioning systems, and its quantitative effects have…”
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