Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Sun Jinghan"'
Autor:
Sun Jinghan, Ren Jing
Publikováno v:
Dianzi Jishu Yingyong, Vol 49, Iss 3, Pp 42-47 (2023)
Abstract： Computer text analysis is an important branch in the field of natural language processing, and it is a computer technology that studies how to extract various types of information from a given corpus from text data. At present, computer t
Externí odkaz:
https://doaj.org/article/5b715f19401148598e4610402116ccfc
Autor:
Sun, Jinghan, Gong, Zibo, Agarwal, Anup, Noghabi, Shadi, Chandra, Ranveer, Snir, Marc, Huang, Jian
Modular data centers (MDCs) that can be placed right at the energy farms and powered mostly by renewable energy, are proven to be a flexible and effective approach to lowering the carbon footprint of data centers. However, the main challenge of using
Externí odkaz:
http://arxiv.org/abs/2406.02252
Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications. In practice, it is not uncommon that some FL participants only possess
Externí odkaz:
http://arxiv.org/abs/2403.11803
Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedite clinical workflow and reduce observational oversights. Most existing methods attempt
Externí odkaz:
http://arxiv.org/abs/2307.09184
Publikováno v:
AAAI 2023
Multimodal magnetic resonance imaging (MRI) provides complementary information for sub-region analysis of brain tumors. Plenty of methods have been proposed for automatic brain tumor segmentation using four common MRI modalities and achieved remarkab
Externí odkaz:
http://arxiv.org/abs/2303.05302
In modern solid-state drives (SSDs), the indexing of flash pages is a critical component in their storage controllers. It not only affects the data access performance, but also determines the efficiency of the precious in-device DRAM resource. A vari
Externí odkaz:
http://arxiv.org/abs/2301.00072
Autor:
Weng, Futian, Ma, Yuanting, Sun, Jinghan, Shan, Shijun, Li, Qiyuan, Zhu, Jianping, Wang, Yang, Xu, Yan
Dermatological diseases are among the most common disorders worldwide. This paper presents the first study of the interpretability and imbalanced semi-supervised learning of the multiclass intelligent skin diagnosis framework (ISDL) using 58,457 skin
Externí odkaz:
http://arxiv.org/abs/2211.10858
Medical images are widely used in clinical practice for diagnosis. Automatically generating interpretable medical reports can reduce radiologists' burden and facilitate timely care. However, most existing approaches to automatic report generation req
Externí odkaz:
http://arxiv.org/abs/2211.08732
Byte-addressable, non-volatile memory (NVM) is emerging as a promising technology. To facilitate its wide adoption, employing NVM in managed runtimes like JVM has proven to be an effective approach (i.e., managed NVM). However, such an approach is ru
Externí odkaz:
http://arxiv.org/abs/2205.06444
This paper presents a systematic study on the security of modern file systems, following a vulnerability-centric perspective. Specifically, we collected 377 file system vulnerabilities committed to the CVE database in the past 20 years. We characteri
Externí odkaz:
http://arxiv.org/abs/2204.12590