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Peng Lyu, Jeongik Min and Juwhan Song
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br...
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Zhixiong Chen, Yilang Shen, Xinlin Lv, Qiaolin Qin and Xin Chen
To better satisfy user?s needs for the accurate visualization of massive amounts of geographic data, the variable-scale expression of map content based on multilevel data organization has attracted increasing attention. Traditional methods based on vecto...
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Roberta Andrade, Paulo Pinheiro, Luísa Carvalho and Raysa Rocha
Entrepreneurial ecosystems remain under-theorised and conceptually fragmented, making it challenging to comprehend their disposition and performance in the business process. Accordingly, in this research, we explored how knowledge sharing flows through e...
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Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Giovanni Francesco Santonastaso, Velitchko Tzatchkov, José Manuel Rodriguez Varela
Pág. 1 - 13
Water Network Partitioning (WNP) improves water network management, simplifying the computation of water budgets and, consequently, allowing the identification and reduction of water losses. It is achieved by inserting flow meters and gate valves into a ...
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Jae Hyun Lee, Konstadinos G. Goulias
Pág. 420 - 439
Using data of attitudes in the Puget Sound region we first identify predispositions in favor of car use (car loving persons and households) and distinguish them from other predispositions favoring other modes (transit and carsharing lovers). Then we expl...
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