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Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di
In the context of automatic charging for electric vehicles, collision localization for the end-effector of robots not only serves as a crucial visual complement but also provides essential foundations for subsequent response design. In this scenario, dat...
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Kyriakos Apostolidis, Christos Kokkotis, Evangelos Karakasis, Evangeli Karampina, Serafeim Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias and Nikolaos Aggelousis
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence (AI) poses a formidable challenge, especially amidst constrained partici...
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Aristoteles Tegos, Stefanos Stefanidis, John Cody and Demetris Koutsoyiannis
This paper examines the impacts of three different potential evapotranspiration (PET) models on drought severity and frequencies indicated by the standardized precipitation index (SPEI). The standardized precipitation-evapotranspiration index is a recent...
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Yog Aryal
Accurately predicting ambient dust plays a crucial role in air quality management and hazard mitigation. Dust emission is a complex, non-linear response to several climatic variables. This study explores the accuracy of Artificial Intelligence (AI) model...
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Pamela Al Alam, Joseph Constantin, Ibtissam Constantin and Clelia Lopez
Road traffic congestion has became a major problem in most countries because it affects sustainable mobility. Partitioning a transport network into homogeneous areas can be very useful for monitoring traffic as congestion is spatially correlated in adjac...
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Raúl Ulices Silva-Ávalos, Hugo Enrique Júnez-Ferreira, Julián González-Trinidad and Carlos Bautista-Capetillo
In Mexico, agriculture in semi-arid regions is highly dependent on groundwater resources, where most of the aquifers? characterization is a pending task. In particular, the depth to the basement is unknown for most of the Mexican territory. Hence, the de...
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Jiawei Zhu, Chao Tao, Xin Lin, Jian Peng, Haozhe Huang, Li Chen and Qiongjie Wang
Analyzing the urban spatial structure of a city is a core topic within urban geographical information science that has the ability to assist urban planning, site selection, location recommendation, etc. Among previous studies, comprehending the functiona...
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Saeid Gharechelou, Ryutaro Tateishi, Josaphat Tetuko Sri Sumantyo and Brian Alan Johnson
Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synth...
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Arsalan Ahmed Othman, Ahmed K. Obaid, Diary Ali Mohammed Amin Al-Manmi, Ahmed F. Al-Maamar, Syed E. Hasan, Veraldo Liesenberg, Ahmed T. Shihab and Younus I. Al-Saady
Soil loss is one of the most important causes of land degradation. It is an inevitable environmental and socio-economic problem that exists in many physiographic regions of the world, which, besides other impacts, has a direct bearing on agricultural pro...
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Shimei Wei and Jinghu Pan
In light of the long-term pressure and short-term impact of economic and technological globalization, regional and urban resilience has become an important issue in research. As a new organizational form of regional urban systems, the resilience of urban...
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