Zobrazeno 1 - 10
of 7 325
pro vyhledávání: '"Imbalanced Data"'
Autor:
More, Anjali, Rana, Dipti
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 4, pp. 525-541.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-02-2022-0034
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5055-5067 (2024)
Data-driven fault diagnosis techniques are significant for the stable operation of nuclear power plants (NPPs). However, in practical applications, the fault diagnosis of NPPs usually faces imbalance data problems with small fault samples and much re
Externí odkaz:
https://doaj.org/article/13a4f9f12164437590b388b183a89ccf
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 267-277 (2024)
Diabetic Foot Ulcers (DFUs) represent a significant health concern, often leading to severe complications if not diagnosed and treated promptly. Early and accurate classification of DFUs is crucial for effective patient management. However, In the re
Externí odkaz:
https://doaj.org/article/d76ea74986594cc495e6038a72642a57
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 159-167 (2024)
Conducting sentiment research on the perception of the Indonesian people towards Shin Tae Yong's (STY) role as coach of the Indonesian National Football Team (PSSI) is crucial as it can assist PSSI in determining whether to extend STY's contract. Pri
Externí odkaz:
https://doaj.org/article/e457d1c9136d4d048f54f9a9e1a5d765
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Objective Data imbalance is a pervasive issue in medical data mining, often leading to biased and unreliable predictive models. This study aims to address the urgent need for effective strategies to mitigate the impact of data imbalance on c
Externí odkaz:
https://doaj.org/article/b867b443611e49c8911792fc09d86987
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 491-510 (2025)
The high prevalence of fraud in contemporary financial transactions necessitates advanced anomaly detection systems to address the significant imbalance between legitimate and anomalous transactions in real-time datasets. To address this issue, our s
Externí odkaz:
https://doaj.org/article/e0f8ee76776c4573bf054092e529f440
Autor:
Phan Anh Phong, Le Van Thanh
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 3A, Pp 5-15 (2024)
This paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority oversampling technique VCIR to generate synthetic samples t
Externí odkaz:
https://doaj.org/article/65f1e4fa5a394c75865bbff7cd519028
Autor:
Wen-Feng Wu, Kuan-Ming Lai, Chia-Hung Chen, Bai-Chuan Wang, Yi-Jen Chen, Chia-Wei Shen, Kai-Yan Chen, Eugene C. Lin, Chien-Chin Chen
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Background Early detection of T790M mutation in exon 20 of epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) patients with brain metastasis is crucial for optimizing treatment strategies. In this study, we develop
Externí odkaz:
https://doaj.org/article/576ebdf6034f4c7987f89c6a048d6720
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract The success of newly established companies holds significant implications for community development and economic growth. However, startups often grapple with heightened vulnerability to market volatility, which can lead to early-stage failur
Externí odkaz:
https://doaj.org/article/9fd71ad0e2ea455daf4ecbf04fe4d0a2
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2370-2383 (2024)
With the informatization of the society, it’s of great practical value to extract useful information from massive textual data available online using tools of NLP (natural language processing). However, the texts collected from social platforms suf
Externí odkaz:
https://doaj.org/article/41a6fc21d7944f7a91a508de9c2b44f1