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Valentina Gallina, Silvia Torresan, Alex Zabeo, Jonathan Rizzi, Sandro Carniel, Mauro Sclavo, Lisa Pizzol, Antonio Marcomini and Andrea Critto
Coastal erosion is an issue of major concern for coastal managers and is expected to increase in magnitude and severity due to global climate change. This paper analyzes the potential consequences of climate change on coastal erosion (e.g., impacts on be...
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Ana M. Petrovic, Igor Le?ce?en and Ivan Radevski
This paper presents a comprehensive analysis of flood frequency and a spatio-temporal characterization of historical torrential floods in the ?umadija region using water discharge datasets and documented events. A chronology of 344 recorded torrential fl...
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Lei Jin, Shaodan Chen and Mengfan Liu
Drought, as a recurring extreme climatic event, inflicts diverse impacts on ecological systems, agricultural productivity, water resources, and socio-economic progress globally. Discerning the drought patterns within the evolving environmental landscape ...
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José Francisco León-Cruz, David Romero and Hugo Ignacio Rodríguez-García
The spatial and temporal changes in social vulnerability to natural hazards in Mexico are analyzed. To this end, using census data from 2000, 2010, and 2020, and a statistical method, different indices were computed, and with a GIS-based approach, patter...
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Sicong Liu, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang and Xiaoshuang Huang
Myanmar is among the regions with the most frequent activities of International Non-Government Organizations (INGOs). Analyzing the spatio-temporal patterns of these activities holds crucial importance for optimizing organizational coordination and enhan...
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Chenxi Liu, Zhenghong Peng, Lingbo Liu and Hao Wu
Amid the global shift towards sustainable development, this study addresses the burgeoning electric vehicle (EV) market and its infrastructure challenges, particularly the lag in public charging facility development. Focusing on Wuhan, it utilizes big da...
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Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
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Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
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Shuai Lu, Haibo Chen and Yilong Teng
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ...
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Agnieszka Szpala, Slawomir Winiarski, Malgorzata Kolodziej, Bogdan Pietraszewski, Ryszard Jasinski, Tadeusz Niebudek, Andrzej Lejczak, Karolina Lorek, Jacek Balchanowski, Slawomir Wudarczyk and Marek Wozniewski
This investigation aimed to scrutinise the kinematic and spatio-temporal characteristics of free and Nordic walking (NW) in older adults, utilising both traditional and biosensor-integrated mechatronic poles. The hypothesis was that including biosensors ...
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