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Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro...
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Shengkun Gu and Dejiang Wang
Within the domain of architectural urban informatization, the automated precision recognition of two-dimensional paper schematics emerges as a pivotal technical challenge. Recognition methods traditionally employed frequently encounter limitations due to...
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Simone Castelli and Andrea Belleri
In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously inc...
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Fabricio Enrique Alcívar Intriago,Josselin Dennis Cabezas Cacierra,José Manuel Calderon Pincay,Kevin Alexander Patiño Alonzo
This study set out to calculate the Hydrological Protection Index (IPH) based on the vegetation that already existed in the Membrillo micro-basin in Manabi, Ecuador. Two phases were proposed, including the identification of the type of vegetation cover a...
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Zhi Dou, Changsheng Mi, Haikong Lu and Hui Gao
In recent years, rice?crayfish integrated farming has expanded rapidly in the Hongze Lake district of China as the booming consumer market of crayfish. However, the current rice cultivation technology limits rice yield and the economic profits of rice?cr...
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Pedro Pintor, Manuel Lopez-Martinez, Emilio Gonzalez, Jan Safar and Ronan Boyle
Global Navigation Satellite System (GNSS) technology supports all phases of maritime navigation and serves as an integral component of the Automatic Identification System (AIS) and, by extension, Vessel Traffic Service (VTS) systems. However, the accurac...
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Keshav Bhattarai and Ambika P. Adhikari
This paper responds to the research question, ?can urban farming in Nepal help create sustainable cities?? Especially after the COVID-19 pandemic, urban residents have begun to realize that food transported from long distances is not always reliable. Urb...
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Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian and Harm Derksen
Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data. One problem of great interest is tensor classification, and in particular the extension of ...
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Marco Di Francesco and Kevin Kamm
In this paper, we propose a new exogenous model to address the problem of negative interest rates that preserves the analytical tractability of the original Cox?Ingersoll?Ross (CIR) model with a perfect fit to the observed term-structure. We use the diff...
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Amira Abdelwahab and Nesma Youssef
Data mining techniques are useful in discovering hidden knowledge from large databases. One of its common techniques is sequential rule mining. A sequential rule (SR) helps in finding all sequential rules that achieved support and confidence threshold fo...
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