本土 发表于 2025-3-26 23:30:38
S. Barreiro Cotón,K. -P. Schapsusing standard deviation and perform crop classification by using Random Forest (RF) algorithm with approximately 85% accuracy and an F1-score of 0.84. Open-source Geographic Information System (GIS) platform QGIS was used to perform post-processing operations to handle raster, and vector data analy防御 发表于 2025-3-27 02:05:57
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C. Neßelmann,K. -P. Schapsusefulness of the current data sources and methods, this chapter presents a methodology that combines seasonal weather forecasts, geo-spatial information derived from remote-sensing, risks posed by extreme events and crop growth models to estimate production risk at a regional scale. The method was控诉 发表于 2025-3-27 12:01:00
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D. Szatkowski,K. -P. Schapshe context of CT implementation in STEAM education. .: The proposed framework provides concrete guidance to educators in planning class activities, and choosing suitable educational practices in order to engage students. .: The results support educators looking for guidance in the integration proces衣服 发表于 2025-3-28 01:32:54
I. Barnaure,K. -P. Schapsnd majority voting. Two different architectures of the distributed intrusion detection system based on Big Data technologies are used. In the first, parallel data processing is achieved by splitting data into several non-intersecting subsets, and a separate parallel thread is assigned to each of the名次后缀 发表于 2025-3-28 03:03:24
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