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Sevim Sezi Karayazi, Gamze Dane and Theo Arentze
Understanding visitors? spatial choice behavior is important in developing effective policies to counteract overcrowdedness in attractive urban heritage areas. This research presents a comprehensive analysis of visitor location choice behavior, aiming to...
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Chenxi Zhang, Zhongfa Zhou, Changli Zhu, Quan Chen, Qing Feng, Meng Zhu, Fang Tang, Xiaopiao Wu, Yan Zou, Fuxianmei Zhang, Jiajia Zheng and Ting Yu
Exploring the evolution of livelihood patterns of farm households relocated for poverty alleviation in three prefectures of Guizhou Province, China, can provide a theoretical basis and practical value for achieving sustainable livelihoods of relocated fa...
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Mohammad Damen Bani Fawwaz, Mohammad Najafi and Vinayak Kaushal
Pipeline asset management derives from pipelines? physical conditions, condition rating, and serviceability through investigating, monitoring, and analyzing the rupture history. The remaining asset life and structural condition of the pipeline network ru...
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Michele Licata, Victor Buleo Tebar, Francesco Seitone and Giandomenico Fubelli
Landslides triggered by heavy rainfall pose significant threats to human settlements and infrastructure in temperate and equatorial climate regions. This study focuses on the development of the Open Landslide Project (OLP), an open source landslide inven...
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George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
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Gergely Márk Csányi, Renátó Vági, Andrea Megyeri, Anna Fülöp , Dániel Nagy, János Pál Vadász and István Üveges
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, can effectively handle multi...
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Mantas Bacevicius and Agne Paulauskaite-Taraseviciene
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as ...
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Richard Adade, Dukiya Jaiye, Nana Ama Browne Klutse and Appollonia Aimiosino Okhimamhe
Ex situ adaptation in the form of relocation has become inevitable in some low-lying coastal zones where other adaptation strategies become impractical or uneconomical. Although relocation of coastal low-lying communities is anticipated globally, little ...
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Mihalj Bakator, Dragan Cockalo, Mila Kavalic, Edit Terek Stojanovic and Verica Gluvakov
Globalization, Industry 4.0, and the dynamics of the modern business environment caused by the pandemic have created immense challenges for enterprises across industries. Achieving and maintaining competitiveness requires enterprises to adapt to the new ...
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Raquel Esther Rey-Charlo, Jose Luis Cueto and Francisco Piniella
This article uses data generated by Port State Control (PSC) inspections of ships in national ports (Paris MoU) to assess their compliance with radio-communications safety regulations. By mainly applying binary logistic regression methods, the aim is to ...
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