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  1. 2261
    Daily PM2.5 concentration estimates by county, ZIP code, and census tract in 11 western states 2008–2018
    “...Measurement(s) fine respirable suspended particulate matter Technology Type(s) machine learning...”
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  2. 2262
    Forest management in southern China generates short term extensive carbon sequestration
    “.... combine remote sensing and machine learning modelling to map forest cover dynamics in southern China...”
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  3. 2263
    Structure determination of an amorphous drug through large-scale NMR predictions
    “.... Here, the authors use a machine learning model of chemical shifts to solve the atomic-level structure...”
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  4. 2264
    Diverse motif ensembles specify non-redundant DNA binding activities of AP-1 family members in macrophages
    “... and apply a machine learning approach to identify motifs predicted to drive factor-specific binding profiles....”
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  5. 2265
    A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
    “... in cancer. Here, the authors use a machine learning approach to develop a radiomic-based small set...”
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  6. 2266
    A small number of abnormal brain connections predicts adult autism spectrum disorder
    “..., Yahata and colleagues devise a novel machine learning algorithm and develop a reliable ASD classifier...”
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  7. 2267
    On-the-fly closed-loop materials discovery via Bayesian active learning
    “...Machine learning driven research holds big promise towards accelerating materials’ discovery. Here...”
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  8. 2268
    Basic protocols in quantum reinforcement learning with superconducting circuits
    por Lucas Lamata
    Publicado 2017
    “... closed feedback loops. Quantum artificial intelligence and quantum machine learning are emerging fields...”
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  9. 2269
    Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence
    “.... The ambiguity in ground truth had noteworthy impact on machine learning results, which could be visualized....”
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  10. 2270
    Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
    “... with in-situ machine learning and achieve competitive image classification accuracy on a standard dataset....”
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  11. 2271
    Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
    “... improve prognosis prediction of gastric cancer. Here, the authors use machine learning on whole slide...”
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  12. 2272
    The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments
    “... magnetic resonance imaging • Neurofeedback • machine learning Factor Type(s) type of task performed: visual...”
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  13. 2273
    Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations
    “... forecasting. Each step of the proposed scheme adopts ensemble forecasting based on three different machine...”
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  14. 2274
    Tool for Designing Breakthrough Discovery in Materials Science
    por Michiko Yoshitake
    Publicado 2021
    “... experimentation and machine learning of experimental and calculated data. Examples of the wider use of scientific...”
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  15. 2275
    Efficient cellular annotation of histopathology slides with real-time AI augmentation
    “... applications of computer vision and machine learning. To make sense of this data, scientists often rely...”
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  16. 2276
    3D printed graphene-based self-powered strain sensors for smart tires in autonomous vehicles
    “..., and machine learning for predictive data analysis....”
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  17. 2277
    Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing
    “... tissue clearing, 3D imaging, and machine learning for analysis of the tumour microenvironment...”
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  18. 2278
    High content genome-wide siRNA screen to investigate the coordination of cell size and RNA production
    “... microscope • supervised machine learning • Image Processing Factor Type(s) gene expression Sample...”
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  19. 2279
    Novel hardware and concepts for unconventional computing
    por Martin Ziegler
    Publicado 2020
    “.... In particular, for the area of machine learning, energy consumption of today's electronics is an important...”
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  20. 2280
    Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma
    “... disease or pseudoprogression and build a classifier using machine learning to distinguish the two....”
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