Zobrazeno 1 - 10
of 1 164
pro vyhledávání: '"stacked autoencoder"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Credit scoring models are critical for financial institutions to assess borrower risk and maintain profitability. Although machine learning models have improved credit scoring accuracy, imbalanced class distributions remain a major challenge
Externí odkaz:
https://doaj.org/article/6f51d7d4f3b44c48a47e17c0fd3ddfc0
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 159, Iss , Pp 110002- (2024)
Non invasive load monitoring (NILM) is beneficial for enhancing the monitoring capability of the distribution network and is crucial for improving the safety of smart grid operation. However, household appliances involve a variety of devices and a la
Externí odkaz:
https://doaj.org/article/b80b4b4ddcdb46de8da566311d63bdd9
Publikováno v:
IEEE Access, Vol 12, Pp 19694-19710 (2024)
Developing a reliable and accurate indoor localization system is a crucial step for creating a seamless and interactive user-device experience in nearly all intelligent internet of things (IIoTs) and smart applications. Indoor localization systems ba
Externí odkaz:
https://doaj.org/article/9b155ed231f04e70a40fb4a263f21af0
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 6, Pp 102734- (2024)
Breast cancer (BrC) stands as the most prevalent cancer affecting women globally, comprising 24.5% of all female cancer diagnoses and contributing to 15.0% of total cancer-related fatalities. The timely detection and precise categorization of breast
Externí odkaz:
https://doaj.org/article/53525dcf26ae4926ae94329689e4f589
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 4, Pp 525-534 (2023)
Due to the growing number of data-driven approaches, especially in artificial intelligence and machine learning, extracting appropriate information from the gathered data with the best performance is a remarkable challenge. The other important aspect
Externí odkaz:
https://doaj.org/article/4ea1f01481ff4eb793fe47364ec0e52b
Autor:
Fatima Zohra El Hlouli, Jamal Riffi, Mhamed Sayyouri, Mohamed Adnane Mahraz, Ali Yahyaouy, Khalid El Fazazy, Hamid Tairi
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 4, Pp 2057-2076 (2023)
The risk of fraudulent activity has significantly increased with the rise in digital payments. To resolve this issue there is a need for reliable real-time fraud detection technologies. This research introduced an innovative method called stacked aut
Externí odkaz:
https://doaj.org/article/4dc4d43a188f498cbc2c68ed2af86398
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 7, Pp 1749-1758 (2023)
Objective and accurate evaluation of rock mass quality classification is the prerequisite for reliable stability assessment. To develop a tool that can deliver quick and accurate evaluation of rock mass quality, a deep learning approach is developed,
Externí odkaz:
https://doaj.org/article/6478b6bd19cd457cbec576a0d6ea39b8
Autor:
Mehmet Akif Bülbül, Mehmet Fatih Işık
Publikováno v:
Biomimetics, Vol 9, Iss 5, p 304 (2024)
The prediction of patient survival is crucial for guiding the treatment process in healthcare. Healthcare professionals rely on analyzing patients’ clinical characteristics and findings to determine treatment plans, making accurate predictions esse
Externí odkaz:
https://doaj.org/article/0fe25594634843ae93b66135d3db7880
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Earthquake-induced landslides are ubiquitous on slopes in terrestrial environments, which can pose a serious threat to local communities and infrastructures. Data-driven landslide assessments play a crucial role in preventing future landslide occurre
Externí odkaz:
https://doaj.org/article/a690709e8d7d4785b84e02bf29fb95d8
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