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Om Prakash Sharma, Narayanan Kannan, Scott Cook, Bijay Kumar Pokhrel and Cameron McKenzie
Most of the recent studies on the consequences of extreme weather events on crop yields are focused on droughts and warming climate. The knowledge of the consequences of excess precipitation on the crop yield is lacking. We attempted to fill this gap by ...
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Jeffrey Tim Query, Evaristo Diz
Pág. 145 - 159
AbstractIn this study we examine the robustness of fit for a multivariate and an autoregressive integrated moving average model to a data sample time series type. The sample is a recurrent actuarial data set for a 10-year horizon. We utilize ...
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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii and M.K.N. Kumari
Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for...
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Julio Garrote, Ignacio Gutiérrez-Pérez and Andrés Díez-Herrero
Calibration and validation of flood risk maps at a national or a supra-national level remains a problematic aspect due to the limited information available to carry out these tasks. However, this validation is essential to define the representativeness o...
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Wesang?ula Salome Nang?oni, Appolonius Shitiabai Kembu
Pág. 46 - 55
AbstractKenya?s social-economic development blueprint as anchored by vision 2030 envisages growth in the public sector as the hub to its realization. The sector?s infrastructure industry is to quadruple its contribution to GDP. In line with this concern,...
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Osareme Erhomosele
Pág. 130 - 144
AbstractInvestigations into the relationship between capital structure and firm performance over the years have consistently produced mixed results in the light of prevailing theories relevant to the concept of capital structure. The study examined the n...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C...
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Katarzyna Plewa, Adam Perz, Dariusz Wrzesinski and Leszek Sobkowiak
The hydrology of coastal lakes differs significantly from that of inland water bodies due to the influence of the neighboring sea. Observed climatic changes are expected to enhance the effect of the sea on coastal lake ecosystems, which makes research on...
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