Search Results - "Nonaka, Hirofumi"

Improving work detection by segmentation heuristics pre-training on factory operations video by Kataoka, Shotaro, Ito, Tetsuro, Iwaka, Genki, Oba, Masashi, Nonaka, Hirofumi

“…The measurement of work time for individual tasks by using video has made a significant contribution to a framework for productivity improvement such as value…”
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Magneto-optical diffractive deep neural network by Fujita, Takumi, Sakaguchi, Hotaka, Zhang, Jian, Nonaka, Hirofumi, Sumi, Satoshi, Awano, Hiroyuki, Ishibashi, Takayuki

“…We propose a magneto-optical diffractive deep neural network (MO-D 2 NN). We simulated several MO-D 2 NNs, each of which consists of five hidden layers made of…”
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Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem by Yamashiro, Hirochika, Nonaka, Hirofumi

“…Traditionally, mathematical optimization methods have been applied in manufacturing industries where production scheduling is one of the most important…”
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Deep Reinforcement Learning for the Optimal Angle Control of Tracking Bifacial Photovoltaic Systems by Tsuchida, Shuto, Nonaka, Hirofumi, Yamada, Noboru

“…An optimal tilt-angle control based on artificial intelligence (AI control) for tracking bifacial photovoltaic (BPV) systems is developed in this study, and…”
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Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks by Sakumoto, Takeshi, Hayashi, Teruaki, Sakaji, Hiroki, Nonaka, Hirofumi

“…Data integration, which aims to solve problems and create new services by combining datasets, has attracted considerable attention. The discovery of similar…”
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Exploration of an Inflection Point of Ventilation Parameters with Anaerobic Threshold Using Strucchange by Aida, Takenori, Shionoya, Akira, Nonaka, Hirofumi, Hayami, Kouji, Uchiyama, Hisashi, Nagamori, Masahiro, Ohhashi, Satoshi, Kobayashi, Mai, Takayama, Tsugumi, Kimura, Shinji

“…(1) Background: When measuring anaerobic work threshold (AT), the conventional V-slope method includes the subjectivity of the examiner, which cannot be…”
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Relationship between detection of hepatitis B virus in saliva and periodontal disease in hepatitis B virus carriers in Japan by Kamimura, Hiroteru, Watanabe, Jun, Sugano, Tomoyuki, Kohisa, Junji, Abe, Hiroyuki, Kamimura, Kenya, Tsuchiya, Atsunori, Takamura, Masaaki, Okoshi, Shogo, Tanabe, Yoshinari, Takagi, Ritsuo, Nonaka, Hirofumi, Terai, Shuji

“…Although hepatitis B virus infection is well-described, the additional risk posed by oral bleeding in individuals with chronic hepatitis B virus infection has…”
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An analytical investigation of body parts more susceptible to aging and composition changes using statistical hypothesis testing by Mori, Masaya, Flores, Roberto Gonzalez, Kamimura, Hiroteru, Yamaura, Kentaro, Nonaka, Hirofumi

“…In recent years, age-related changes in body composition in the elderly are attracting attention. This is associated with a decline in physical functions and…”
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Quantitative Evaluation of Changes in Three-Dimensional CT Density Distributions in Pulmonary Alveolar Proteinosis after GM-CSF Inhalation by Oda, Miku, Yamaura, Kentaro, Ishii, Haruyuki, Kitamura, Nobutaka, Tazawa, Ryushi, Abe, Mitsuhiro, Tatsumi, Koichiro, Eda, Ryosuke, Kondoh, Shotaro, Morimoto, Konosuke, Tanaka, Takeshi, Yamaguchi, Etsuro, Takahashi, Ayumu, Izumi, Shinyu, Sugiyama, Haruhito, Nakagawa, Atsushi, Tomii, Keisuke, Suzuki, Masaru, Konno, Satoshi, Ohkouchi, Shinya, Tode, Naoki, Handa, Tomohiro, Hirai, Toyohiro, Inoue, Yoshikazu, Arai, Toru, Asakawa, Katsuaki, Tanaka, Takahiro, Takada, Toshinori, Nonaka, Hirofumi, Nakata, Koh

“…A previous clinical trial for autoimmune pulmonary alveolar proteinosis (APAP) demonstrated that granulocyte-macrophage colony-stimulating factor (GM-CSF)…”
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Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach by Alemán Carreón, Elisa Claire, Mendoza España, Hugo Alberto, Nonaka, Hirofumi, Hiraoka, Toru

“…Since culture influences expectations, perceptions, and satisfaction, a cross-culture study is necessary to understand the differences between Japan’s biggest…”
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Use of a Deep Learning Approach for the Sensitive Prediction of Hepatitis B Surface Antigen Levels in Inactive Carrier Patients by Kamimura, Hiroteru, Nonaka, Hirofumi, Mori, Masaya, Kobayashi, Taichi, Setsu, Toru, Kamimura, Kenya, Tsuchiya, Atsunori, Terai, Shuji

“…Deep learning is a subset of machine learning that can be employed to accurately predict biological transitions. Eliminating hepatitis B surface antigens…”
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Thermal design optimization of electronic circuit board layout with transient heating chips by using Bayesian optimization and thermal network model by Otaki, Daiki, Nonaka, Hirofumi, Yamada, Noboru

“…•Bayesian optimization used with a lumped-capacitance thermal network model.•Layout of the unsteady heating chips on the electronic circuit board is…”
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Fire Protection Analysis and Potential Improvements for Wooden Cultural Heritage Sites in Japan by Kim, Kwang-Il, Konishi, Tadashi, Ziemba, Tomek, Nonaka, Hirofumi, Nam, Ki-Hun, Tanaka, Takeyoshi

“…Wooden cultural properties are exposed to risks such as forest fires and arson, due to natural disasters and social change. To protect these heritage sites…”
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Prediction of Microcystis Occurrences and Analysis Using Machine Learning in High-Dimension, Low-Sample-Size and Imbalanced Water Quality Data by Mori, Masaya, Gonzalez Flores, Roberto, Suzuki, Yoshihiro, Nukazawa, Kei, Hiraoka, Toru, Nonaka, Hirofumi

“…•Prediction and analysis of Microcystis occurrences in Hitotsuse Dam, Japan.•Feature Engineering and Feature Selection Algorithms applied to water quality…”
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Development of fabrication techniques for magneto-optical diffractive deep neural networks by Sakaguchi, Hotaka, Fujita, Takumi, Zhang, Jian, Sumi, Satoshi, Awano, Hiroyuki, Nonaka, Hirofumi, Ishibashi, Takayuki

“…Magneto-optical diffractive deep neural network (MO-D 2 NN) is a type of diffractive deep neural network that utilizes the magneto-optical effect of magnetic…”
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A study on patent term prediction by survival time analysis using neural hazard model by Marusaki, Koji, Nakai, Kensei, Kataoka, Shotaro, Kawano, Seiya, Hentona, Asahi, Sakumoto, Takeshi, Yamamoto, Yuta, Mori, Kaede, Nonaka, Hirofumi

“…Patent term is considered one of the factors that determine the private value of a patent. Predicting it can therefore be used as an indicator of corporate…”
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Thermomagnetic recording of highly Bi-substituted iron garnet film using scanning laser for spatial light modulation by Sakaguchi, Hotaka, Honma, Takuma, Zhang, Jian, Awano, Hiroyuki, Sumi, Satoshi, Nonaka, Hirofumi, Chafi, Fatima Zahra, Ishibashi, Takayuki

“…Abstract Spatial light modulations (SLM) utilizing the magneto-optical (MO) effect of magnetic materials are expected to offer fast switching and small pixel…”
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Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models by Alemán Carreón, Elisa Claire, Nonaka, Hirofumi, Hentona, Asahi, Yamashiro, Hirochika

“…•Models based on exposure time to television adverts have significantly lower predictability of actual purchase in comparison with models using demographic…”
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Improving work detection by segmentation heuristics pre-training on factory operations video by Shotaro Kataoka, Tetsuro Ito, Genki Iwaka, Masashi Oba, Hirofumi Nonaka

“…The measurement of work time for individual tasks by using video has made a significant contribution to a framework for productivity improvement such as value…”
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Correlation analysis between financial data and patent score based on HITS algorithm by Nonaka, Hirofumi, Kubo, Daiki, Makoto, Kimura, Toru Hiraoka, Ota, Takahisa, Masuyama, Shigeru

“…Patents can defend the inventions of enterprises and bring about economic benefits. Therefore, evaluation of patent value is useful for predicting financial…”
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