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Akademický článek

Technical opportunities and challenges in developing total-body PET scanners for mice and rats

Autor: Junwei Du, Terry Jones

Publikováno v: EJNMMI Physics, Vol 10, Iss 1, Pp 1-28 (2023)

Abstract Positron emission tomography (PET) is the most sensitive in vivo molecular imaging technique available. Small animal PET has been widely used in studying pharmaceutical biodistribution and disease progression over time by imaging a wide rang

Externí odkaz: https://doaj.org/article/3321bb0f055248d98303552c4710cba1

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Akademický článek

Multi-view graph neural network for fraud detection algorithm

Autor: Zhuo CHEN, Miao ZHU, Junwei DU

Publikováno v: Tongxin xuebao, Vol 43, Pp 225-232 (2022)

Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-vie

Externí odkaz: https://doaj.org/article/bb4e51c56a094ebd87ccf6a5d8d31c65

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Akademický článek

Service clustering method based on description context feature words and improved GSDMM model

Autor: Qiang HU, Jiaji SHEN, Guanghui JING, Junwei DU

Publikováno v: Tongxin xuebao, Vol 42, Pp 176-187 (2021)

To address the problem that current service clustering methods usually faced low quality of service representation vectors, a service clustering method based on description context feature words and improved GSDMM model was proposed.Firstly, a featur

Externí odkaz: https://doaj.org/article/d0ecf5d60c3147dba3a5ed87b122db86

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Akademický článek

Modeling the Effort and Learning Ability of Students in MOOCs

Autor: Lina Gao, Zhongying Zhao, Liang Qi, Yongquan Liang, Junwei Du

Publikováno v: IEEE Access, Vol 7, Pp 128035-128042 (2019)

With the popularity of MOOCs and other online learning platforms, Educational Data Mining (EDM) has been receiving tremendous attention from researchers due to its great significance. Modeling students' effort and learning ability is a very interesti

Externí odkaz: https://doaj.org/article/9450a40188464fa4b4a05f2f90956999

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Akademický článek

Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction

Autor: Bin Yu, Shan Li, Wenying Qiu, Minghui Wang, Junwei Du, Yusen Zhang, Xing Chen

Publikováno v: BMC Genomics, Vol 19, Iss 1, Pp 1-17 (2018)

Abstract Background Apoptosis is associated with some human diseases, including cancer, autoimmune disease, neurodegenerative disease and ischemic damage, etc. Apoptosis proteins subcellular localization information is very important for understandin

Externí odkaz: https://doaj.org/article/c599c1989d55448e9b83208383e8f672

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Akademický článek

A User-Based Cross Domain Collaborative Filtering Algorithm Based on a Linear Decomposition Model

Autor: Xu Yu, Feng Jiang, Junwei Du, Dunwei Gong

Publikováno v: IEEE Access, Vol 5, Pp 27582-27589 (2017)

Sparsity is a tough problem in a single domain collaborative filtering (CF) recommendation system as it is difficult to compute the similarities among users accurately. Recently, cross domain CF is a new way to alleviate this difficulty. In this pape

Externí odkaz: https://doaj.org/article/2e4e76f3a45c49108af5165a00d0f51b

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