Zobrazeno 1 - 10
of 1 401
pro vyhledávání: '"cost of learning"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract The particulate matter (PM)2.5 forecasting has been being advanced with the development of deep learning methods. However, most of them do not consider the active population exposed to air pollution. We propose to apply a population-based ce
Externí odkaz:
https://doaj.org/article/a343488d4ffc46f0b33c3792eecfa5e6
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:
The TQM Journal, 2024, Vol. 36, Issue 9, pp. 175-192.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TQM-10-2023-0344
Autor:
Seifollah Gholampour
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 827-841 (2024)
Dataset imbalances pose a significant challenge to predictive modeling in both medical and financial domains, where conventional strategies, including resampling and algorithmic modifications, often fail to adequately address minority class underrepr
Externí odkaz:
https://doaj.org/article/77345c495b5b4445b13a20d90b01c1a4
Publikováno v:
IEEE Access, Vol 12, Pp 173638-173646 (2024)
Telecommunication fraud has led to significant economic losses worldwide. Although Graph Neural Networks (GNNs) have shown potential in fraud detection, their performance in telecom fraud detection remains suboptimal. The primary reason for this inad
Externí odkaz:
https://doaj.org/article/dfe3ee3f90524628b5c7604371a29f23
Autor:
Kamran Aziz, Feng Chen, Inamullah Khan, Shabir Hussain Khahro, Muhammad Abdul Malik, Zubair Ahmed Memon, Afaq Khattak
Publikováno v:
IEEE Access, Vol 12, Pp 139540-139559 (2024)
Millions of lives are lost in road accidents annually, underscoring the severity of traffic incidents. Despite numerous studies on crash severity forecasting with static ensemble machine learning, the potential of Dynamic Ensemble Selection (DES) for
Externí odkaz:
https://doaj.org/article/5c05a5c0be5545d4838d370451d50290
Autor:
Lidong Yi, Maosheng Ding, Jili Wang, Gao Qiu, Fei Xue, Ji'ang Liu, Yuxiong Huang, Gengfeng Li, Junyong Liu
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 2, Pp 547-560 (2024)
To secure power system operations, practical dispatches in industries place a steady power transfer limit on critical inter-corridors, rather than high-dimensional and strong nonlinear stability constraints. However, computational complexities lead t
Externí odkaz:
https://doaj.org/article/7f69d9b7e7bc45f1bda0c562eec3bf48
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1817 (2024)
Anchor dragging at anchorages poses a significant threat to marine traffic, potentially leading to collisions and damage to seabed infrastructure. This study analyzed a large dataset of ships in anchorage areas to develop a machine learning (ML) mode
Externí odkaz:
https://doaj.org/article/cb7a628c0d8040fc8f08068796aa622b
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2586 (2024)
In many machine learning applications, there are many scenarios when performance is not satisfactory by single classifiers. In this case, an ensemble classification is constructed using several weak base learners to achieve satisfactory performance.
Externí odkaz:
https://doaj.org/article/e4931e9d8ed64717b2e5d4368071b210
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Background and objectivesHypertension is one of the most serious risk factors and the leading cause of mortality in patients with cardiovascular diseases (CVDs). It is necessary to accurately predict the mortality of patients suffering from CVDs with
Externí odkaz:
https://doaj.org/article/d0b134e61f5d44078a77e706cc3992fe