Mostrando 73,541 - 73,560 Resultados de 77,157 Para Buscar '"the arts"', tiempo de consulta: 0.61s Limitar resultados
  1. 73541
  2. 73542
    por An, Ruopeng, Shen, Jing, Xiao, Yunyu
    Publicado 2022
    “…An accelerating trend of adopting state-of-the-art DL models over standard ML models was observed to address challenging computer vision and natural language processing tasks. …”
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  3. 73543
    por Gong, Jianhu, Rezaeipanah, Amin
    Publicado 2023
    “…Simulations are performed on different scenarios to evaluate the performance of the FDBGR compared to state-of-the-art methods. Besides, FDBGR has been compared with a number of most related previous works such as H-MCOP, MH-MCOP, QoMRA, QROUTE and REDO based on criteria such as number of accepted requests, average path length, energy consumption, load balancing, and average delay. …”
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  4. 73544
    por Fu, Cynthia H. Y., Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R., Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N., Frokjaer, Vibe G., Ganz, Melanie, Garcia, Jose, Godlewska, Beata R., Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M., Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D., Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C., Tosun, Duygu, Victor, Teresa A., Wei, Dongtao, Wise, Toby, Woodham, Rachel D., Zahn, Roland, Anderson, Ian M., Deakin, J. F. William, Dunlop, Boadie W., Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H., Harmer, Catherine J., Kennedy, Sidney H., Knudsen, Gitte M., Mayberg, Helen S., Paulus, Martin P., Qiu, Jiang, Trivedi, Madhukar H., Whalley, Heather C., Yan, Chao-Gan, Young, Allan H., Davatzikos, Christos
    Publicado 2023
    “…Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants. …”
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  5. 73545
  6. 73546
    “…Compared with other state-of-the-art approaches, the improved Mask RCNN had better detection and segmentation performance, which could better detect and segment the tapped area of natural rubber trees under different shooting conditions. …”
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  7. 73547
    “…CONCLUSION: To conclude, the proposed transfer learning approach outperformed the state-of-the-art machine and deep learning models in classifying benign and malignant cancer subtypes. …”
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  8. 73548
    “…Also, the performance of RN-Autoencoder has been compared to the performance of the current state of the art and resulted in an increase up to 18.017, 19.183, 18.58 and 8.87% in terms of test accuracy using colon, leukemia, Diffuse Large B-Cell Lymphoma (DLBCL) and Wisconsin Diagnostic Breast Cancer (WDBC) datasets respectively. …”
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  9. 73549
    “…Here we present a sequence quality- and time-aware model, ChronoStrain, that introduces uncertainty quantification to gauge low-abundance species and significantly outperforms the current state-of-the-art on both real and synthetic data. ChronoStrain leverages sequences’ quality scores and the samples’ temporal information to produce a probability distribution over abundance trajectories for each strain tracked in the model. …”
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  10. 73550
    por Budowle, Bruce, Sajantila, Antti
    Publicado 2023
    “…Given the state-of-the-art, areas in which informed consent may need to be modified and augmented are as follows: reference samples from family members in missing persons or unidentified human remains cases; targeted analysis of an individual(s) during forensic genetic genealogy cases to reduce an investigative burden; donors who provide their samples for validation studies (to include population studies and entry into databases that would be applied to forensic statistical calculations) to support implementation of procedures and operations of the forensic laboratory; family members that may contribute samples or obtain genetic information from a molecular autopsy; and use of medical and other acquired samples that could be informative for identification purposes. …”
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  11. 73551
    por Guan, Zhengyi, Zhou, Xiaobing
    Publicado 2023
    “…Our model is superior to state-of-the-art compared models on five available datasets: BC4CHEMD, BC2GM, BC5CDR-Disease, BC5CDR-Chem, and NCBI-Disease, achieving F1-score of 92.55%, 85.45%, 87.53%, 94.16% and 90.55%, respectively. …”
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  12. 73552
  13. 73553
  14. 73554
    “…METHODS: First, we systematically reviewed the state-of-the-art of neuroscience and cognitive sciences research on music and AD (>100 studies), and the progress made on the therapeutic impact of music stimuli in memory. …”
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  15. 73555
  16. 73556
    “…Interpretation mechanisms can bolster the incorporation of state-of-the-art machine learning models into clinical decision support systems, and might help clinicians to address the issue of early sepsis detection. …”
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  17. 73557
    “…METHODS: Eighty patients with migraine or tension-type headache (mean 13.1 ± 3.29 years) participated, of whom 40 underwent daily olfactory training with individually selected pleasant odors for 3 months and 40 received state-of-the-art outpatient therapy as a control group. At baseline and after a 3-month follow-up, olfactory function [odor threshold; odor discrimination; odor identification; comprehensive Threshold, Discrimination, Identification (TDI) score], mechanical detection and pain threshold (quantitative sensory testing), electrical pain threshold, patient-reported outcomes on headache-related disability [Pediatric Migraine Disability Assessment (PedMIDAS)], pain disability [Pediatric Pain Disability Index (P-PDI)], and headache frequency were assessed. …”
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  18. 73558
    “…Empirical results on the MedDialog(EN) and Covid Dataset demonstrate that our proposed model outperforms the state-of-the-art methods in terms of both automatic and human evaluation metrics.…”
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  19. 73559
    “…The cohort was randomly partitioned into derivation set (50%) and validation set (50%). We applied a state-of-art machine learning algorithm, eXtreme Gradient Boosting (XGBoost), to automatically select features from 98 candidate variables and developed a risk prediction model to predict in-hospital bleeding (Bleeding Academic Research Consortium [BARC] 3 or 5 definition). …”
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  20. 73560
    “…In order to be useful in clinical practice, a prognostic score needs to be valid, reliable, clinically relevant, and preferably integrated into the decision-making process to improve long-term patient outcomes and support informed decisions for clinicians and their patients. The state-of-the-art methodology by taking into account competing risks and variable selection using expert knowledge is applied to data from a nationwide prospective multi-center cohort study. …”
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