Showing 3,161 - 3,174 results of 3,174 for search 'distributed data training', query time: 0.15s Refine Results
  1. 3161

    Build and application of automatic classification model of land damage in the middle section of Tianshan Mountains by Zizhao ZHANG, Peizhi LIU, Yang HU, Kai CHEN, Junpeng HUANG, Guangming SHI, Yanyang ZHANG, Runsen LAI, Jianhua ZHU, Xueye WANG, Weinan CHEN

    Published 2025-07-01
    “…Firstly, according to the high-resolution series of remote sensing images, a sample set of 59198 samples was constructed for the middle section of the Tianshan Mountains, which was extended to 177594 samples through data augmentation. Then, the SENetV2-COT-DeepLabV3 model was trained to improve its generalization ability and recognition accuracy, and accurately grasp the distribution and extent of land damage caused by mineral resource development. …”
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  2. 3162

    Amplification of Higher-Order Salivary Gland Volume Effects from External Beam Radiotherapy in Normal Tissue Complication Probability Modeling of Radiopharmaceutical Therapy by Chunming Gu, Robert F. Hobbs, Ana P. Kiess, Junghoon Lee, Todd McNutt, Harry Quon, Zhuoyao Xin, Tahir I. Yusufaly

    Published 2025-02-01
    “…The goal of this work is to combine machine learning of EBRT dose–outcome data with stylized small-scale RPT dosimetry to discover more reliable normal tissue complication probability (NTCP) models of xerostomia across both modalities. …”
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  3. 3163

    Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature by S. Schöngart, S. Schöngart, L. Gudmundsson, M. Hauser, P. Pfleiderer, Q. Lejeune, S. Nath, S. I. Seneviratne, C.-F. Schleussner, C.-F. Schleussner, C.-F. Schleussner

    Published 2024-11-01
    “…Owing to their runtime efficiency, emulators are especially useful when large amounts of data are required, for example, for in-depth exploration of the emission space, for investigating high-impact low-probability events, or for estimating uncertainties and variability. …”
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  4. 3164

    Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

    Published 2025-01-01
    “…However, the cloud radar detects composite information about multiphase particles and lacks temperature data within cloud layers, leading to significant aliasing of phase state characteristics of cloud particles. …”
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  5. 3165

    DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

    Published 2024-01-01
    “…Drones are capable of rapidly scanning extensive areas, thereby facilitating efficient data collection and analysis. This capability can yield critical information and bolster swift response efforts. …”
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  6. 3166

    Morbidity profile of admissions to GF Jooste Hospital, Manenberg, Cape Town by Jacek Marszalek, Pierre J.T. de Villiers

    Published 2006-07-01
    “…Some hospitals have computerised data, while others may keep no records whatsoever. …”
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  7. 3167

    Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods by Ankita Lawarde, Ankita Lawarde, Masuma Khatun, Prakash Lingasamy, Prakash Lingasamy, Andres Salumets, Andres Salumets, Andres Salumets, Vijayachitra Modhukur, Vijayachitra Modhukur

    Published 2025-05-01
    “…Ensemble ML algorithms were trained and validated with stratified five-fold cross-validation for robust performance assessment across class distributions.ResultsOur models achieved an overall 99% classification accuracy, distinguishing 14 cancer types with high robustness and generalizability. …”
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  8. 3168

    Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

    Published 2025-02-01
    “…Different semantic segmentation models are trained and tested using low altitude high-resolution images of drones, and compared. …”
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  9. 3169

    Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

    Published 2025-06-01
    “…During the iterative learning process, the network continuously adjusts the parameters according to the real-time vibration data of the system to achieve the goal of vibration suppression. …”
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  10. 3170
  11. 3171

    Joint Modeling of Quasar Variability and Accretion Disk Reprocessing Using Latent Stochastic Differential Equations by Joshua Fagin, James Hung-Hsu Chan, Henry Best, Matthew O’Dowd, K. E. Saavik Ford, Matthew J. Graham, Ji Won Park, V. Ashley Villar

    Published 2025-01-01
    “…We use the simulation as a direct component of our neural network to jointly model the driving variability and reprocessing, trained with supervised learning on simulated LSST-like 10 yr quasar light curves. …”
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  12. 3172

    Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

    Published 2025-05-01
    “…A coding framework was then agreed by RO and KB and discussed/refined with the THRIVE PE subgroup, based on the key questions for the PE, developed prior to implementation, with the addition of novel areas identified through data collection. Recruitment data collection and analysis Participants were recruited to THRIVE over 53 months from January 2014 to May 2018. …”
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  13. 3173

    Análisis de las lesiones deportivas en jugadores de fútbol sub-16 y sub-18 integrados en academia (Analysis of sports injuries in academy integrated u-16 and u-18 football players)... by José M. Gamonales, Víctor Hernández-Beltrán, Abian Perdomo-Alonso, Jesús Barguerias-Martínez, Sergio Gómez-Carrero, Cátia C. Ferreira, Rui Paulo, Mário C. Espada

    Published 2024-07-01
    “…To measure the incidence of injuries, official medical reports were considered, by an observer previously trained in recording data. A descriptive analysis of the dependent variables was carried out. …”
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  14. 3174

    XRISM Reveals Low Nonthermal Pressure in the Core of the Hot, Relaxed Galaxy Cluster A2029 by XRISM Collaboration, Marc Audard, Hisamitsu Awaki, Ralf Ballhausen, Aya Bamba, Ehud Behar, Rozenn Boissay-Malaquin, Laura Brenneman, Gregory V. Brown, Lia Corrales, Elisa Costantini, Renata Cumbee, Maria Diaz Trigo, Chris Done, Tadayasu Dotani, Ken Ebisawa, Megan E. Eckart, Dominique Eckert, Satoshi Eguchi, Teruaki Enoto, Yuichiro Ezoe, Adam Foster, Ryuichi Fujimoto, Yutaka Fujita, Yasushi Fukazawa, Kotaro Fukushima, Akihiro Furuzawa, Luigi Gallo, Javier A. García, Liyi Gu, Matteo Guainazzi, Kouichi Hagino, Kenji Hamaguchi, Isamu Hatsukade, Katsuhiro Hayashi, Takayuki Hayashi, Natalie Hell, Edmund Hodges-Kluck, Ann Hornschemeier, Yuto Ichinohe, Manabu Ishida, Kumi Ishikawa, Yoshitaka Ishisaki, Jelle Kaastra, Timothy Kallman, Erin Kara, Satoru Katsuda, Yoshiaki Kanemaru, Richard Kelley, Caroline Kilbourne, Shunji Kitamoto, Shogo Kobayashi, Takayoshi Kohmura, Aya Kubota, Maurice Leutenegger, Michael Loewenstein, Yoshitomo Maeda, Maxim Markevitch, Hironori Matsumoto, Kyoko Matsushita, Dan McCammon, Brian McNamara, François Mernier, Eric D. Miller, Jon M. Miller, Ikuyuki Mitsuishi, Misaki Mizumoto, Tsunefumi Mizuno, Koji Mori, Koji Mukai, Hiroshi Murakami, Richard Mushotzky, Hiroshi Nakajima, Kazuhiro Nakazawa, Jan-Uwe Ness, Kumiko Nobukawa, Masayoshi Nobukawa, Hirofumi Noda, Hirokazu Odaka, Shoji Ogawa, Anna Ogorzalek, Takashi Okajima, Naomi Ota, Stephane Paltani, Robert Petre, Paul Plucinsky, Frederick S. Porter, Katja Pottschmidt, Kosuke Sato, Toshiki Sato, Makoto Sawada, Hiromi Seta, Megumi Shidatsu, Aurora Simionescu, Randall Smith, Hiromasa Suzuki, Andrew Szymkowiak, Hiromitsu Takahashi, Mai Takeo, Toru Tamagawa, Keisuke Tamura, Takaaki Tanaka, Atsushi Tanimoto, Makoto Tashiro, Yukikatsu Terada, Yuichi Terashima, Yohko Tsuboi, Masahiro Tsujimoto, Hiroshi Tsunemi, Takeshi Tsuru, Hiroyuki Uchida, Nagomi Uchida, Yuusuke Uchida, Hideki Uchiyama, Yoshihiro Ueda, Shinichiro Uno, Jacco Vink, Shin Watanabe, Brian J. Williams, Satoshi Yamada, Shinya Yamada, Hiroya Yamaguchi, Kazutaka Yamaoka, Noriko Yamasaki, Makoto Yamauchi, Shigeo Yamauchi, Tahir Yaqoob, Tomokage Yoneyama, Tessei Yoshida, Mihoko Yukita, Irina Zhuravleva, Tommaso Bartalesi, Stefano Ettori, Roman Kosarzycki, Lorenzo Lovisari, Tom Rose, Arnab Sarkar, Ming Sun, Prathamesh Tamhane

    Published 2025-01-01
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