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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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Yue Cheng, Jiayin Chen, Jiajia Tang, Wenbo Xu, Dong Lv and Xuan Xiao
Within the rapidly growing urban tourism industry, the development of urban landscapes plays a crucial role in shaping a city?s image and competitiveness; however, standardized and mismatched landscapes often have a negative impact, highlighting the impo...
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Cundong Xu, Junjiao Tian, Guoxia Wang, Haidong Lian, Rongrong Wang and Xiaomeng Hu
The vortices, backflow, and siltation caused by sediment-laden flow are detrimental to the safe and efficient operation of pumping stations. To explore the effects of water?sediment two-phase flow on the velocity field, vorticity field, and sediment dist...
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Juan Ma, Qiang Yang, Mingzhi Zhang, Yao Chen, Wenyi Zhao, Chengyu Ouyang and Dongping Ming
Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement?time curves offer an intuitive reflection of the landslide motion process and deformation predictions o...
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Ahmed Skhiri, Ali Ferhi, Anis Bousselmi, Slaheddine Khlifi and Mohamed A. Mattar
A correct determination of irrigation water requirements necessitates an adequate estimation of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial neural network (ANN) models. Eleven combinations of long-term ave...
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