بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
driven optimization » guided optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
pairs design » first design (توسيع البحث), art design (توسيع البحث)
image driven » climate driven (توسيع البحث), wave driven (توسيع البحث), mapk driven (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
driven optimization » guided optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
pairs design » first design (توسيع البحث), art design (توسيع البحث)
image driven » climate driven (توسيع البحث), wave driven (توسيع البحث), mapk driven (توسيع البحث)
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Thesis-RAMIS-Figs_Slides
منشور في 2024"…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…"
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Seed mix selection model
منشور في 2022"…The model thus requires three types of data presented as matrices in order to calculate the maximum number of bee species supported by a given seed mix: 1) adult phenology of each bee species, where each cell represents whether or not that bee species was observed in the data during a given time period, 2) flowering phenology of plants, where each cell represents whether or not a bee was collected from that plant species during a given time period, and 3) pairwise interactions between plant species and bee species, where each cell represents whether each plant-bee species pair was observed interacting in the data.</p> <p> </p> <p>We applied the seed mix selection model using a binary genetic algorithm to select seed mixes (R package ‘GA’; Scrucca 2013; Scrucca 2017). …"
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
منشور في 2020"…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"