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Giovanni De Luca and Giorgia Rivieccio
Climate change is a significant environmental challenge that affects water resources, agriculture, health, and other aspects of human life. Bivariate modeling is a statistical method used to analyze the relationship between variables such as rainfall and...
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Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham and Ana Cláudia Teodoro
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a...
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Caston Sigauke, Rosinah Mukhodobwane, Wilbert Chagwiza and Winston Garira
With the use of empirical data, this paper focuses on solving financial and investment issues involving extremal dependence of 10 pairwise combinations of the 5 BRICS (Brazil, Russia, India, China, and South Africa) stock markets. Daily closing equity in...
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Rentong Chen, Chao Zhang, Shaoping Wang and Li Hong
Reliability estimation for key components of a mechanical system is of great importance in prognosis and health management in aviation industry. Both degradation data and failure time data contain abundant reliability information from different sources. ...
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Yugong Dang, Hongen Ma, Jun Wang, Zhigang Zhou and Zhidong Xu
In order to boost the performance of a bivariable granular fertilizer applicator and simplify the control methodology of fertilization rate regulation, this paper proposed a fertilization decision method to obtain the optimal combination of rotational sp...
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Xiaofan Zuo and Zhisheng Hong
In the digital age, it is critical to understand the nexus between digital technology (DT) and land rent-out behavior (LRB). It has implications for reducing the rate of land abandonment to achieve sustainable agricultural development. A large dataset (n...
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Mengjie Han, Zhenwu Wang and Xingxing Zhang
In recent years, a building?s energy performance is becoming uncertain because of factors such as climate change, the Covid-19 pandemic, stochastic occupant behavior and inefficient building control systems. Sufficient measurement data is essential to pr...
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Wei Chen, Zenghui Sun, Xia Zhao, Xinxiang Lei, Ataollah Shirzadi and Himan Shahabi
The purpose of this study is to compare nine models, composed of certainty factors (CFs), weights of evidence (WoE), evidential belief function (EBF) and two machine learning models, namely random forest (RF) and support vector machine (SVM). In the firs...
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Vincent S. Neary, Seongho Ahn, Bibiana E. Seng, Mohammad Nabi Allahdadi, Taiping Wang, Zhaoqing Yang and Ruoying He
Best practices and international standards for determining n-year return period extreme wave (sea states) conditions allow wave energy converter designers and project developers the option to apply simple univariate or more complex bivariate extreme valu...
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Xinxiang Lei, Wei Chen and Binh Thai Pham
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), ...
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