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Jingjing Fang, Yining Wang, Peng Jiang, Qin Ju, Chao Zhou, Yiran Lu, Pei Gao and Bo Sun
Various methods have been developed to estimate daily crop coefficients, but their performance varies. In this paper, a comprehensive evaluation was conducted to estimate the crop coefficient of winter wheat in four growth stages based on the observed da...
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Jamal Khudair Madhloom, Zainab Hammoodi Noori, Sif K. Ebis, Oday A. Hassen and Saad M. Darwish
Due to the Internet?s explosive growth, network security is now a major concern; as a result, tracking network traffic is essential for a variety of uses, including improving system efficiency, fixing bugs in the network, and keeping sensitive data secur...
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Natalia Kireeva, Vladimir E. Baulin and Aslan Yu. Tsivadze
The growth of technologies concerned with the high demand in lithium (Li) sources dictates the need for technological solutions garnering Li supplies to preserve the sustainability of the processes. The aim of this study was to use a machine learning-bas...
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Helena M. Ramos, Maria Cristina Morani, Francesco Pugliese and Oreste Fecarotta
Urbanization and population growth have been responsible for a significant increase in consumption of water and energy at a global scale. A careful management of water resource and infrastructures is crucial for Energy Transition, as well as for achievin...
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Songsong Lu, Binchao Liu, Rong Yang, Qiuyi Wang and Rui Bao
Applying the machine learning (ML) technique in the modelling of crack growth (CG) behavior is a potential way to improve the efficiency and precision of CG assessment. However, research in this field at elevated temperatures is limited, although a lot o...
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