Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Sun, Hanshi"'
With large language models (LLMs) widely deployed in long content generation recently, there has emerged an increasing demand for efficient long-sequence inference support. However, key-value (KV) cache, which is stored to avoid re-computation, has e
Externí odkaz:
http://arxiv.org/abs/2404.11912
Anomaly detection (AD) is a fundamental research problem in machine learning and computer vision, with practical applications in industrial inspection, video surveillance, and medical diagnosis. In medical imaging, AD is especially vital for detectin
Externí odkaz:
http://arxiv.org/abs/2306.11876
Reasonably and effectively monitoring arrhythmias through ECG signals has significant implications for human health. With the development of deep learning, numerous ECG classification algorithms based on deep learning have emerged. However, most exis
Externí odkaz:
http://arxiv.org/abs/2304.01568
Monitoring electrocardiogram signals is of great significance for the diagnosis of arrhythmias. In recent years, deep learning and convolutional neural networks have been widely used in the classification of cardiac arrhythmias. However, the existing
Externí odkaz:
http://arxiv.org/abs/2205.03661
Cardiovascular disease (CVDs) is one of the universal deadly diseases, and the detection of it in the early stage is a challenging task to tackle. Recently, deep learning and convolutional neural networks have been employed widely for the classificat
Externí odkaz:
http://arxiv.org/abs/2202.12943
Publikováno v:
In Future Generation Computer Systems April 2023 141:567-576
Publikováno v:
In Journal of Contaminant Hydrology February 2022 245
Akademický článek
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Autor:
Peterson, Luke F., Sun, Hanshi, Liu, Yihong, Potu, Harish, Kandarpa, Malathi, Ermann, Monika, Courtney, Stephen M., Young, Matthew, Showalter, Hollis D., Sun, Duxin, Jakubowiak, Andrzej, Malek, Sami N., Talpaz, Moshe, Donato, Nicholas J. *
Publikováno v:
In Blood 4 June 2015 125(23):3588-3597
Akademický článek
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