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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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Evans Vidija Sagwa, Appolonius Shitiabai Kembu
Pág. 29 - 36
AbstractThe Savings and Credit Cooperative Societies (Saccos) in Kenya have made a tremendous contribution to national development which is responsible for about 45% of Gross Domestic Product and 31% of national savings and deposits. Deposit Taking Sacco...
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Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
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Kenan Liu, Wuyun Zhao, Bugong Sun, Pute Wu, Delan Zhu and Peng Zhang
Autonomous navigation for agricultural machinery has broad and promising development prospects. Kalman filter technology, which can improve positioning accuracy, is widely used in navigation systems in different fields. However, there has not been much r...
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Ivan Wallan Tertuliano, Eric Matheus Rocha Lima, Vivian Oliveira, Bruna Alves Santana, Vladan Pavlovic, Afonso Antonio Machado
Research Question: the paper investigates the influence of the size of the squad and the club's expenditures on football in the final classification in seasons 2008 to 2016 of the first division of the Brazilian Football League (Serie A). Motivation: Con...
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