Zobrazeno 1 - 10
of 2 537
pro vyhledávání: '"Mean Absolute Error"'
Publikováno v:
Sustainable Operations and Computers, Vol 6, Iss , Pp 34-46 (2025)
Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging. Robust f
Externí odkaz:
https://doaj.org/article/84ac37c4311c44fb874856f792e88435
Autor:
Adusei Bofa, Temesgen Zewotir
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract This study investigates the impact of spatio- temporal correlation using four spatio-temporal models: Spatio-Temporal Poisson Linear Trend Model (SPLTM), Poisson Temporal Model (TMS), Spatio-Temporal Poisson Anova Model (SPAM), and Spatio-Te
Externí odkaz:
https://doaj.org/article/fe45c6b44ebd4286b17850c43aa3ee6f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4485-4500 (2024)
Facial age recognition has been widely used in real-world applications. Most of current facial age recognition methods use deep learning to extract facial features to identify age. However, due to the high dimension features of faces, deep learning m
Externí odkaz:
https://doaj.org/article/9e4bb31c518847e5a92226cf751bdaad
Publikováno v:
Energies, Vol 17, Iss 19, p 4885 (2024)
Day-ahead electricity price forecasting (DAEPF) is vital for participants in energy markets, particularly in regions with high integration of renewable energy sources (RESs), where price volatility poses significant challenges. The accurate forecasti
Externí odkaz:
https://doaj.org/article/fbb8b347ec924cfd820a22e56d6340e8
Publikováno v:
Water Science and Technology, Vol 87, Iss 10, Pp 2504-2528 (2023)
Crop evapotranspiration is essential for planning and designing an efficient irrigation system. The present investigation assessed the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBoost Linear), XGBoost Ensembl
Externí odkaz:
https://doaj.org/article/e6a11d42769041a985aa8887b7c0f62e
Publikováno v:
TEM Journal. 12(1):297-302
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1103595
Publikováno v:
Green Energy and Intelligent Transportation, Vol 2, Iss 5, Pp 100113- (2023)
Renewable energy sources are gaining popularity, where solar photovolaics (PV) being the most preferred option due to its cleanliness, affordability, and abundance. The energy output of solar PV is primarily based on temperature & irradiance. Therefo
Externí odkaz:
https://doaj.org/article/1bcfe3dfadc54a58a1278a816d9834dc
Publikováno v:
暴雨灾害, Vol 42, Iss 1, Pp 97-104 (2023)
In order to solve the problem of missing record of temperature observation, taking the Hubei Province in 2020 as an example, we selected three methods, that is, Inverse Distance Weighted (IDW), Ordinary Kriging (OK) and Multiple Linear Regression (ML
Externí odkaz:
https://doaj.org/article/1cf1ee21d53d4b4b98dd559c23fdab0f
Autor:
Mohamad Abou Houran, Mohamed H. Essai Ali, Adel B. Abdel-Raman, Eman A. Badry, Alaaeldien Hassan, Hany A. Atallah
Publikováno v:
IEEE Access, Vol 11, Pp 49863-49873 (2023)
In this paper, we suggest improving the performance of developed activation function-based Deep Learning Long Short-Term Memory (DLLSTM) structures by employing robust loss functions like Mean Absolute Error $(MAE)$ and Sum Squared Error $(SSE)$ to c
Externí odkaz:
https://doaj.org/article/b6e383cfa5144783a30e85c3adb3d8c3
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 1, Pp 350-368 (2023)
Reference evapotranspiration (ET0) is used to determine crop water requirements under different climatic conditions. In this study, soft computing tools viz. artificial neural network (ANN) and k-nearest neighbors (KNN) models were evaluated for fore
Externí odkaz:
https://doaj.org/article/5cbd3507c9f347a98b714fccb467a1dd