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Monika Rybczak and Krystian Kozakiewicz
Today, specific convolution neural network (CNN) models assigned to specific tasks are often used. In this article, the authors explored three models: MobileNet, EfficientNetB0, and InceptionV3 combined. The authors were interested in investigating how q...
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Lili Tanti, Syahril Efendi, Maya Silvi Lydia and Herman Mawengkang
Disaster logistics management is vital in planning and organizing humanitarian assistance distribution. The planning problem faces challenges, such as coordinating the allocation and distribution of essential resources while considering the severity of t...
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Abeer M. Shoaib, Amr A. Atawia, Mohamed H. Hassanean, Abdelrahman G. Gadallah and Ahmed A. Bhran
Water is the meaning of life for humans, agricultural and industrial processes; controlling the distribution of water and wastewater between industrial processes is very vital for rationalizing water and preserving the environment. This paper addresses a...
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Jeremy Feinstein, Quentin Ploussard, Thomas Veselka and Eugene Yan
Methods for downstream river flow prediction can be categorized into physics-based and empirical approaches. Although based on well-studied physical relationships, physics-based models rely on numerous hydrologic variables characteristic of the specific ...
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Herman Mawengkang, Muhammad Romi Syahputra, Sutarman Sutarman and Gerhard Wilhelm Weber
Water distribution networks (WDNs) are defined as the planning for the development, distribution, and utilization of water resources. The main challenge of WDNs is to preserve limited water resources while providing effective benefits from these resource...
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