Mostrando 161 - 180 Resultados de 216,525 Para Buscar '"In the End"', tiempo de consulta: 0.53s Limitar resultados
  1. 161
    por Lee, Ju-Hee, Hwang, Kyung-Kuk
    Publicado 2022
    “…Efforts to improve end-of-life (EOL) care have generally been focused on cancer patients, but high-quality EOL care is also important for patients with other serious medical illnesses including heart failure (HF). …”
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  2. 162
    “…Due to the sheer size and complexity of multi-gigapixel whole-slide images, to the best of our knowledge, there is no open-source software library providing a generic end-to-end API for pathology image analysis using best practices. …”
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  3. 163
    “…Since all stages are built from smooth neural functions, the entire process—spanning chemical perception to parameter assignment—is modular and end-to-end differentiable with respect to model parameters, allowing new force fields to be easily constructed, extended, and applied to arbitrary molecules. …”
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  4. 164
    “…To address this problem, an end-to-end multi-task network has been proposed. …”
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  5. 165
    “…To incorporate these three aspects, we propose a novel end-to-end dialogue system GenPADS. First, we build and train two models, viz. a politeness classifier to extract polite information present in user’s and agent’s utterances and a generation model (G) to generate varying but semantically correct responses. …”
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  6. 166
    “…By contrast, very little motor recovery (in case of end-to-end neurorrhaphy) and almost no motor recovery (in case of end-to-side neurorrhaphy) were observed in the grasping activity controlled by flexor digitorum muscles. …”
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  7. 167
  8. 168
    por Alessio, F, Jacobsson, R
    Publicado 2014
    “…In this paper, we specify in detail the functionalities that must be supported by the Front-End and the Back-End electronics to comply with the timing requirements and the readout scheme, and the necessary control and monitoring capabilities in order to validate, commission and operate the upgraded experiment efficiently and with sufficient flexibility. …”
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  9. 169
  10. 170
    “…The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. …”
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  11. 171
    “…Motivated by their success, we apply deep learning algorithms to low-level detector data from the 2012 CMS Simulated Open Data to directly learn useful features, in what we call, end-to-end event classification. We demonstrate the power of this approach in the context of a physics search and offer solutions to some of the inherent challenges, such as image construction, image sparsity, combining multiple sub-detectors, and de-correlating the classifier from the search observable, among others.…”
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  12. 172
    “…We describe the construction of novel end-to-end jet image classifiers to discriminate quark- versus gluon-initiated jets using the simulated CMS Open Data. …”
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  13. 173
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  15. 175
    por Metaj, Stiven
    Publicado 2022
    “…Then, using an ensemble approach, we propose daily to the CERN Cloud managers, in an automatic way, the most anomalous servers of the previous day. We show the related end-to-end pipeline going from the data sources to the detected anomalies, the details of the architecture of the system, the pre-processing steps implemented, and the design choices regarding our solution. …”
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  16. 176
    “…In this work, we investigate federated learning for MRI reconstruction using end-to-end unrolled deep learning models as a means of training global models across multiple clients (data sites), while keeping individual scans local. …”
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  17. 177
  18. 178
  19. 179
    “…As a demonstration of the feasibility of applying formal methods to quantum programming, we present a formally certified end-to-end implementation of Shor’s prime factorization algorithm, developed as part of a framework for applying the certified approach to general applications. …”
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  20. 180
    “…However, there are two major research gaps in existing works: (i) they lack fusion (and synchronization) of multi-sensors, camera, LiDAR and radar; and (ii) generic scalable, and user-friendly end-to-end implementation. To generalize the implementation of the multi-sensor perceptive system, we introduce an end-to-end generic sensor dataset collection framework that includes both hardware deploying solutions and sensor fusion algorithms. …”
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