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Marco Scutari
Bayesian networks (BNs) are a foundational model in machine learning and causal inference. Their graphical structure can handle high-dimensional problems, divide them into a sparse collection of smaller ones, underlies Judea Pearl?s causality, and determ...
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Jiapeng Zhang, Sha Zhao, Qingfeng Miao, Liang Feng, Zhaonan Chi, Zhen Li and Weiping Li
In order to achieve water conservation and salt control in saline irrigation areas and improve the soil ecological environment of farmland in irrigation areas, this study carried out a field trial in 2020?2021 on edible sunflowers planted in saline subsu...
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Ki-Beom Choo, Hyunjoon Cho, Jung-Hyeun Park, Jiafeng Huang, Dongwook Jung, Jihyeong Lee, Sang-Ki Jeong, Jongsu Yoon, Jinhun Choo and Hyeung-Sik Choi
This study focuses on faults in the thrusters of unmanned surface vehicles, which are fatal to the integrity of their missions. As for the fault conditions, the breakage of the thruster blade and the entanglement of floating objects were selected, and a ...
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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Artur I. Petrov
The aim of this research is to study the specifics of the road accident rate formation processes in regions of the Russian Federation (2021) using information-entropic analysis. The typical research approaches (correlation-regression, factorial analyses,...
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Maryam Torkashvand, Aminreza Neshat, Saman Javadi, Hossein Yousefi and Ronny Berndtsson
Vulnerability maps of groundwater provide an efficient means of identifying environmental trends and prioritizing regions for prevention plans. The GIS-based DRASTIC method, however, does not consider the impact of contamination, so there is a need to mo...
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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Moatsum Alawida, Je Sen Teh and Wafa? Hamdan Alshoura
Drone-based surveillance has become widespread due to its flexibility and ability to access hazardous areas, particularly in industrial complexes. As digital camera capabilities improve, more visual information can be stored in high-resolution images, re...
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Hong Li, Bo Wan, Deping Chu, Run Wang, Guoxi Ma, Jinming Fu and Zhuocheng Xiao
Three-dimensional geological modeling is a process of interpreting geological features from limited sample data and making predictions, which can be converted into a classification task for grid units in the geological space. In sedimentary settings, it ...
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Luciano Telesca, Anh Tuan Thai, Michele Lovallo, Dinh Trong Cao and Le Minh Nguyen
The reservoir-triggered seismicity at the Song Tranh 2 reservoir in Vietnam is investigated by using Shannon entropy, a well-known informational method used to analyze complexity in time series in terms of disorder and uncertainty. The application of the...
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