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401por Godai Suzuki, Yutaka Saito, Motoaki Seki, Daniel Evans-Yamamoto, Mikiko Negishi, Kentaro Kakoi, Hiroki Kawai, Christian R. Landry, Nozomu Yachie, Toutai Mitsuyama“... images of label-free cells using a machine learning approach. We acquired hundreds of BF images of single...”
Publicado 2021
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402“... made it possible to utilize computational techniques, including machine learning, to help...”
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403“... correlation. Here, the authors propose a machine-learning approach to DFT that leads to non-local...”
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404por Oliver Profant, Zbyněk Bureš, Zuzana Balogová, Jan Betka, Zdeněk Fík, Martin Chovanec, Jan Voráček“... treatment? Using a machine-learning analysis of medical records of 93 patients, the objectives were...”
Publicado 2021
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406“...The study of grasslands using machine learning (ML) methods combined with proximal/remote sensing...”
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407por Yahui Guo, Yongshuo Fu, Fanghua Hao, Xuan Zhang, Wenxiang Wu, Xiuliang Jin, Christopher Robin Bryant, J. SenthilnathMaterias: “...Machine learning (ML) methods...”
Publicado 2021
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408“... different sets of predictor variables and a variety of machine learning and statistical methods, including...”
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409por Kotb MA, Elmahdy HN, Seif El Dein HM, Mostafa FZ, Refaey MA, Rjoob KWY, Draz IH, Basanti CWSMaterias: “...machine learned stethoscope...”
Publicado 2020
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412por Asif Rahman, Yale Chang, Junzi Dong, Bryan Conroy, Annamalai Natarajan, Takahiro Kinoshita, Francesco Vicario, Joseph Frassica, Minnan Xu-WilsonMaterias: “...Machine learning...”
Publicado 2021
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413“...-linear machine-learning models and strict cross-validation methods with novel variable importance...”
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414por Yosai Mori, Tomofusa Yamauchi, Shota Tokuda, Keiichiro Minami, Hitoshi Tabuchi, Kazunori MiyataMaterias: “...Machine learning...”
Publicado 2021
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415“...The paper investigates one of the approaches based on machine learning methods aimed at finding...”
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418“... machine-learning-based approach to estimate design floods globally. This approach involves three stages...”
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419“... balanced routing protocol based on machine learning for underwater sensor networks (BRP-ML) is proposed...”
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