Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jin, P."'
Publikováno v:
IEEE Access, Vol 12, Pp 78248-78260 (2024)
In recent years, several surrogate assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. These problems lack explicit expressions and are characterized by high invocation costs. SAEAs leverage surrogate
Externí odkaz:
https://doaj.org/article/d7f5dabc73e043bdb9acb8bae28ad4da
Publikováno v:
IEEE Access, Vol 10, Pp 10740-10753 (2022)
The main purpose of this study was to demonstrate the uses of regularization, a machine learning technique, in exploring important predictors for online student success. We analyzed student and learning behavioral variables from undergraduate fully-o
Externí odkaz:
https://doaj.org/article/526297d7f392493d91a94bd4e60f87d8
Autor:
Guoying Lin, Xiaofeng Feng, Wenchong Guo, Xueyuan Cui, Shengyuan Liu, Weichao Jin, Zhenzhi Lin, Yi Ding
Publikováno v:
IEEE Access, Vol 9, Pp 124044-124058 (2021)
Electricity theft has been a major concern to the secure operation of power systems and the interests of power companies. Due to the different methods and types of electricity theft behaviors, it is difficult to determine the suspicion levels of cons
Externí odkaz:
https://doaj.org/article/6d7df58ed953431a9835bfd4ba48ec4a
Publikováno v:
IEEE Access, Vol 8, Pp 9196-9208 (2020)
This paper studies the application of machine learning in the analysis and diagnosis of electromyography data. Firstly, 2,352 electromyography examination reports have been recorded from Sichuan Provincial Hospital of Traditional Chinese Medicine for
Externí odkaz:
https://doaj.org/article/61d0d691b8cf4309b061e36dcd660d32
Publikováno v:
IEEE Access, Vol 8, Pp 47272-47281 (2020)
Radio environment map (REM) has emerged as a crucial technology to improve the robustness of intelligent transportation systems (ITS) by enhancing network planning and spectrum resource utilization. To construct a precise REM, optimizing deployment o
Externí odkaz:
https://doaj.org/article/f8f79957269548d985a21ff4ea4250e9
Publikováno v:
IEEE Access, Vol 8, Pp 109876-109890 (2020)
Fusarium head blight (FHB) is one of the most important diseases in wheat worldwide. Evaluation and identification of effective fungicides are essential for control of FHB. However, traditional methods based on the manual disease severity assessment
Externí odkaz:
https://doaj.org/article/ee12ec701e7a420d98054510cebc1931
Publikováno v:
IEEE Access, Vol 8, Pp 133321-133329 (2020)
We developed a radiomics model to differentiate hematologic marrow diseases and compared the performance with radiologists' readings and a quantitative measurement. Patients were retrospectively analyzed from the diseased (n = 254) and control groups
Externí odkaz:
https://doaj.org/article/cf5b3b532c644e63849aee95b10d1940
Publikováno v:
IEEE Access, Vol 8, Pp 132253-132264 (2020)
Spontaneous rupture of ovarian endometriomas (OEs) may cause serious injury to patients. However, in traditional clinical diagnosis, it is vulnerable to be ignored or misdiagnosed for the symptoms of the acute abdomen caused by it are quite similar t
Externí odkaz:
https://doaj.org/article/3392a510976d4a94b50eb53ab2b275b4
Publikováno v:
IEEE Access, Vol 6, Pp 4641-4652 (2018)
The classification in class imbalanced data has drawn significant interest in medical application. Most existing methods are prone to categorize the samples into the majority class, resulting in bias, in particular the insufficient identification of
Externí odkaz:
https://doaj.org/article/71f7d009913742f9baf334ef20972f89
Publikováno v:
IEEE Access, Vol 5, Pp 16568-16575 (2017)
Due to the imbalanced distribution of business data, missing user features, and many other reasons, directly using big data techniques on realistic business data tends to deviate from the business goals. It is difficult to model the insurance busines
Externí odkaz:
https://doaj.org/article/0b74cab5ca4649748c73f6161365394c