Search alternatives:
process optimization » model optimization (Expand Search)
whale optimization » swarm optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary b » binary _ (Expand Search)
b whale » _ whale (Expand Search), b whole (Expand Search), a whale (Expand Search)
process optimization » model optimization (Expand Search)
whale optimization » swarm optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary b » binary _ (Expand Search)
b whale » _ whale (Expand Search), b whole (Expand Search), a whale (Expand Search)
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Parameter settings.
Published 2024“…Finally, the paper incorporates the sampling concept of elite individuals from the Estimation of Distribution Algorithm (EDA) to regenerate new solutions through the selection process in DE. …”
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Thesis-RAMIS-Figs_Slides
Published 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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MCLP_quantum_annealer_V0.5
Published 2025“…This paper presents a quantum computing path for Transformation-to-Sampling-to-Verification of geospatial optimization problems, adaptable to the controlled qubit scale and coherence constraints under current NISQ conditions. …”
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DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2 = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …”
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Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…The accuracy of the optimal scenario for classifying samples with a cooking time of 30 minutes reached RCal2 = 0.86 and RVal2 = 0.84, with a Kappa value of 0.53. …”