Zobrazeno 1 - 10
of 297
pro vyhledávání: '"heterogeneous ensemble"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper proposes development of optimized heterogeneous ensemble models for prediction of responses based on given sets of input parameters for wire electrical discharge machining (WEDM) processes, which have found immense applications in
Externí odkaz:
https://doaj.org/article/9a37bd8ba33049d0b92d930631293a22
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Household electricity consumption (HEC) is changing over time, depends on multiple factors, and leads to effects on the prediction accuracy of the model. The objective of this work is to propose a novel methodology for improving HEC predicti
Externí odkaz:
https://doaj.org/article/8d1e32ed93f84667b289aa6f4ee6141b
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 961-975 (2024)
Vehicle Exterior Body Damage(VEBD) parts classification is important for claim processing, cost estimation, accident investigation, and vehicle damage assessment. Class imbalance in the VEBD part classification dataset is a primary factor affecting t
Externí odkaz:
https://doaj.org/article/ad242a278fca429cb8d19c1df94aaaf8
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In today’s world, a country’s economy is one of the most crucial foundations. However, industries’ financial operations depend on their ability to meet their electricity demands. Thus, forecasting electricity consumption is vital for properly p
Externí odkaz:
https://doaj.org/article/ba052230738a4c1a9996abf7d0cee33d
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1767-1778 (2024)
Robot-assisted motor training is applied for neurorehabilitation in stroke patients, using motor imagery (MI) as a representative paradigm of brain-computer interfaces to offer real-life assistance to individuals facing movement challenges. However,
Externí odkaz:
https://doaj.org/article/6b64b81eef34445f96c47233de54abe3
Autor:
Angelica Mcwera, Jules Clement Mba
Publikováno v:
Data Science in Finance and Economics, Vol 3, Iss 4, Pp 401-426 (2023)
The ability to accurately predict stock price direction is important for investors and policymakers. We aim to predict the direction of daily stock returns for five major South African banks using ensemble machine learning techniques. Financial ratio
Externí odkaz:
https://doaj.org/article/cf30c0f737814baf8f417ba016fcf433
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3623 (2024)
Fractional vegetation cover (FVC) is a crucial indicator for measuring the growth of surface vegetation. The changes and predictions of FVC significantly impact biodiversity conservation, ecosystem health and stability, and climate change response an
Externí odkaz:
https://doaj.org/article/88603a729bed4500849af2da9ed0c27a
Publikováno v:
Journal of Engineering Technology and Applied Physics, Vol 5, Iss 2, Pp 99-107 (2023)
In the telecom industry, predicting customer churn is crucial for improving customer retention. In literature, the use of single classifiers is predominantly focused. Customer data is complex data due to class imbalance and contain multiple factors t
Externí odkaz:
https://doaj.org/article/00288d0301fa460b8a647cd3d9c5fb1e
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5711 (2024)
In the field of risk assessment, the traditional econometric models are generally used to assess credit risk. And with the introduction of the “dual-carbon” goals to promote the development of a low-carbon economy, the scale of green credit in Ch
Externí odkaz:
https://doaj.org/article/4db3f0c093a940eb84ddec7c117f1619
Autor:
Xiaomeng An, Sen Xu
Publikováno v:
Electronic Research Archive, Vol 31, Iss 5, Pp 2733-2757 (2023)
Learning from imbalanced data is a challenging task, as with this type of data, most conventional supervised learning algorithms tend to favor the majority class, which has significantly more instances than the other classes. Ensemble learning is a r
Externí odkaz:
https://doaj.org/article/2822a593c1dd47aaa9e99d5ab06e86c7