就职 发表于 2025-3-28 15:00:54
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Robi Kroflič,Nada Turnšeklity of data, the number of surveyed variables and data processing methods for filling blanks in order to have an individual dwelling’s complete energy Standard Assessment Procedure (SAP) profile, methods to provide evidence for finding patterns residing in the data set, methods for estimating the a实现 发表于 2025-3-28 23:50:25
ls to be analyzed by set of convolutional layers in the encoder unit before been sent into a decoder unit for final segmented output. The proposed system was evaluated using some evaluation metrics such as dice coefficient, jaccard index and mean of intersection. The review of the existing works was平息 发表于 2025-3-29 04:13:05
Ingibjorg Sigurdadottir,Johanna Einarsdottirund also that among the socio-economic characteristics, gender does not very influence very much class memberships, whereas age and level of education strongly affect class population shares. At the same time, travel purposes, country and arrival time before the flight showed a certain influence in绕着哥哥问 发表于 2025-3-29 09:26:22
Hrönn Pálmadóttir,Jaana Juutinen,Elina Viljamaa flooded area. The goal of this work is to compare performances of remote sensing and DEM-based techniques for the definition of flood-prone areas, using as reference map that obtained by a two-dimensional hydraulic simulation. An objective comparison between these two approaches has been carried ou法律的瑕疵 发表于 2025-3-29 14:24:18
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http://reply.papertrans.cn/99/9805/980401/980401_47.pngKEGEL 发表于 2025-3-29 22:44:39
be reported within a context where model calibration is not accounted for. If model calibration is further taken into consideration, the Granger and Gray model appears the best performing method but, at the same time, it is also the approach which is mostly affected by the calibration process, andcochlea 发表于 2025-3-30 02:23:41
http://reply.papertrans.cn/99/9805/980401/980401_49.pngDEMUR 发表于 2025-3-30 04:07:16
Anders Skriver Jensenkeholders for improving the network services and performance. First, we analyze problems solved by traditional monitoring systems, and identify the classes of problems such systems cannot solve. Then we propose an analytical monitoring system architecture based on knowledge graphs to address these c