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of 898
pro vyhledávání: '"Le Linh"'
State-space models (SSMs) have garnered attention for effectively processing long data sequences, reducing the need to segment time series into shorter intervals for model training and inference. Traditionally, SSMs capture only the temporal dynamics
Externí odkaz:
http://arxiv.org/abs/2407.17801
Publikováno v:
Archives of Biological Sciences, Vol 72, Iss 3, Pp 373-378 (2020)
MiR-3085-3p was shown to play a crucial role in cartilage biology, with potential impacts in osteoarthritis (OA). Insight into this miRNA function could be of practical importance for future miRNA-based therapy, however, little is known regarding the
Externí odkaz:
https://doaj.org/article/8313ca2156d548548e36a48a3da3b6f9
Publikováno v:
Journal of Analytical Methods in Chemistry, Vol 2020 (2020)
Numerous countries have shown signs of environmental pollution to prioritize economic growth and benefits, leading to seriously contaminated waters. This work indicated the method to synthesize a green material, which could remove contaminants to pro
Externí odkaz:
https://doaj.org/article/171d5fe75a684eb49cedf76af8d9362f
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation. The AI system, which we call as it VinDr-CXR when used as a diagnosis-supporting
Externí odkaz:
http://arxiv.org/abs/2304.01220
Autor:
Van Cuong Tran, Hong Ling Liu, Kang Quan Guo, Jin Shang, Shu Jie Song, Le Linh Tran, Duc Tiep Tran
Publikováno v:
Acta Universitatis Cibiniensis. Series E: Food Technology, Vol 18, Iss 2, Pp 19-34 (2014)
Vietnam Robusta Coffee was roasted at different roasting degree and roasting temperature and 9 element concentrations (K, Mg, Ca, Na, Fe, Cu, Mn, Zn and Pb) of roasted coffee were analyzed by Flame atomic absorption method (FAAS) in this study. The r
Externí odkaz:
https://doaj.org/article/9637df7395604234b0a1ad58b31dc985
Publikováno v:
Transactions on Graph Data and Knowledge, Vol 2, Iss 2, Pp 8:1-8:22 (2024)
Traditional named entity linking (NEL) tools have largely employed a general-domain approach, spanning across various entity types such as persons, organizations, locations, and events in a multitude of contexts. While multimodal entity linking datas
Externí odkaz:
https://doaj.org/article/991a7088ca724be687d466563cab4b14
Patent classification is the task that assigns each input patent into several codes (classes). Due to its high demand, several datasets and methods have been introduced. However, the lack of both systematic performance comparison of baselines and acc
Externí odkaz:
http://arxiv.org/abs/2212.12192
Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical classification tasks. However, only a few studies addressed the localization of abnormal findings from CXR scans, which is essential in expl
Externí odkaz:
http://arxiv.org/abs/2208.03545
Quantum networks are gaining momentum in finding applications in a wide range of domains. However, little research has investigated the potential of a quantum network framework to enable highly reliable communications. The goal of this work is to inv
Externí odkaz:
http://arxiv.org/abs/2207.11817
5G radio access network (RAN) slicing aims to logically split an infrastructure into a set of self-contained programmable RAN slices, with each slice built on top of the underlying physical RAN (substrate) is a separate logical mobile network, which
Externí odkaz:
http://arxiv.org/abs/2207.11822