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641por Kazunori Yoshida, Shun Kawai, Masaya Fujitani, Satoshi Koikeda, Ryuji Kato, Tadashi Ema“... to assay all of them. We therefore employed machine learning. Using thermostability data of the 214 mutants...”
Publicado 2021
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642por Catherine Adans-Dester, Nicolas Hankov, Anne O’Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer Dy, Sunghoon I. Lee, Paolo Bonato“... on machine learning-based algorithms to derive clinical score estimates from wearable sensor data collected...”
Publicado 2020
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643por Neel S. Madhukar, Prashant K. Khade, Linda Huang, Kaitlyn Gayvert, Giuseppe Galletti, Martin Stogniew, Joshua E. Allen, Paraskevi Giannakakou, Olivier Elemento“... Bayesian machine learning framework that integrates multiple data types to predict the targets of small...”
Publicado 2019
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644“... four machine learning methods (random forest (RF), extreme gradient boosting tree (XGBT), gradient...”
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645Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approachpor Rustin G. Kashani, Marcel C. Młyńczak, David Zarabanda, Paola Solis-Pazmino, David M. Huland, Iram N. Ahmad, Surya P. Singh, Tulio A. Valdez“... media utilizing advancements in otoscopy and machine learning. We developed an otoscope that visualizes...”
Publicado 2021
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646“... from new instrumentation, data analysis, and machine learning techniques. Despite the interest over...”
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647“... of technology in the last decade brought the concept of industry 4.0 and machine learning techniques have...”
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648por Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang“... results. This study aimed to develop Machine Learning (ML) tools to identify the WAI absorbance...”
Publicado 2021
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649
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650“... atomic environments. Here the authors propose a machine learning approach generalizable across...”
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651por Michael B. Schultz, Alice E. Kane, Sarah J. Mitchell, Michael R. MacArthur, Elisa Warner, David S. Vogel, James R. Mitchell, Susan E. Howlett, Michael S. Bonkowski, David A. SinclairEnlace del recurso
Publicado 2020
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652por Cheng-Mao Zhou, Ying Wang, Hao-Tian Ye, Shuping Yan, Muhuo Ji, Panmiao Liu, Jian-Jun Yang“...Abstract To construct a machine learning algorithm model of lymph node metastasis (LNM) in patients...”
Publicado 2021
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653“... understanding their catalytic behavior. Here, the authors develop a physics-driven machine learning approach...”
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654“...Abstract This study investigates whether coupling crop modeling and machine learning (ML) improves...”
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655“... (83%). To our knowledge, this is the first application of machine learning for the functional analysis...”
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656“... relationship at the larger length scales. Recent advances in machine learning techniques combined with both...”
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657
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658por Anjana M. Samarakoon, Kipton Barros, Ying Wai Li, Markus Eisenbach, Qiang Zhang, Feng Ye, V. Sharma, Z. L. Dun, Haidong Zhou, Santiago A. Grigera, Cristian D. Batista, D. Alan Tennant“... machine learning approach to this problem, leading to more robust inferences from complex data....”
Publicado 2020
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659por Tanglong Yuan, Nana Yan, Tianyi Fei, Jitan Zheng, Juan Meng, Nana Li, Jing Liu, Haihang Zhang, Long Xie, Wenqin Ying, Di Li, Lei Shi, Yongsen Sun, Yongyao Li, Yixue Li, Yidi Sun, Erwei ZuoEnlace del recurso
Publicado 2021
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660“... been the lack of a sufficiently sensitive diagnostic test. Here we use machine learning (ML) to predict...”
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