Zobrazeno 1 - 10
of 437
pro vyhledávání: '"hybrid feature selection"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2467 (2024)
Chronic kidney disease (CKD) involves numerous variables, but only a few significantly impact the classification task. The statistically equivalent signature (SES) method, inspired by constraint-based learning of Bayesian networks, is employed to ide
Externí odkaz:
https://doaj.org/article/0939b43bfaae49a6b5df7d161ef24099
Autor:
Moslemi, Amir a, ⁎, Ahmadian, Arash b
Publikováno v:
In Expert Systems With Applications 5 December 2024 256
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 6, Pp 1-26 (2024)
Abstract Drilling optimization has been broadly developed in terms of influential parameters. The assessment time and the effects of both geomechanical and drilling parameters were vital challenges of investigations. Drilling factors are applied forc
Externí odkaz:
https://doaj.org/article/eafc2733d73849e0ada4ac98f6910ece
Autor:
Mallampati Seshu Bhavani, Seetha Hari
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 1, Pp 98-117 (2024)
An Intrusion Detection System (IDS) is essential to identify cyber-attacks and implement appropriate measures for each risk. The efficiency of the Machine Learning (ML) techniques is compromised in the presence of irrelevant features and class imbala
Externí odkaz:
https://doaj.org/article/1c5b20e392c64c4fbb812effde586843
Publikováno v:
Energies, Vol 17, Iss 22, p 5524 (2024)
Short-term electric load forecasting is critical for power system planning and operations due to demand fluctuations driven by variable energy resources. While deep learning-based forecasting models have shown strong performance, time-sensitive appli
Externí odkaz:
https://doaj.org/article/b40b8032890b4e09b551ea07bb067977
Publikováno v:
In Geoenergy Science and Engineering August 2024 239
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Accurately estimating the dolomite content in carbonate rocks is crucial for optimizing oil and gas exploration and production strategies. Hyperspectral techniques for estimating dolomite content have advantages in terms of efficiency, cost-effective
Externí odkaz:
https://doaj.org/article/1baf2680a3734ab8958d35764cb243f8
Publikováno v:
IEEE Access, Vol 12, Pp 129484-129497 (2024)
Integrating the feature selection process into machine learning-based transient analysis (MLTA) is essential for ensuring precise and timely transient stability prediction (TSP). Therefore, it’s important to prioritize the development of a hybrid f
Externí odkaz:
https://doaj.org/article/488f92a35fd64e60932c3ad0f9a6dca8
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 4, Pp 627-638 (2023)
A speedy and accurate transient stability assessment (TSA) is gained by employing efficient machine learning- and statistics-based (MLST) algorithms on transient nonlinear time series space. In the MLST’s world, the feature selection process by for
Externí odkaz:
https://doaj.org/article/c2bc6c6460bf48daacfa4ebe9dc822ef
Autor:
Hossain, Md. Alamgir a, b, ∗, Islam, Md. Saiful a
Publikováno v:
In Measurement: Sensors April 2024 32