Search alternatives:
proteins optimization » process optimization (Expand Search), routing optimization (Expand Search), property optimization (Expand Search)
based optimization » whale optimization (Expand Search)
main proteins » domain proteins (Expand Search), mapk proteins (Expand Search), matrix proteins (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary main » binary mask (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
data based » data used (Expand Search)
proteins optimization » process optimization (Expand Search), routing optimization (Expand Search), property optimization (Expand Search)
based optimization » whale optimization (Expand Search)
main proteins » domain proteins (Expand Search), mapk proteins (Expand Search), matrix proteins (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary main » binary mask (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
data based » data used (Expand Search)
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Models and Dataset
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”
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103
Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…Cooking data were classified into binary and multiclass variables (CT4C and CT6C). …”
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104
Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
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105
Seed mix selection model
Published 2022“…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …”
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106
Flow diagram of the automatic animal detection and background reconstruction.
Published 2020“…(E) The threshold value is calculated based on the histogram: it is the mean of the image subtracted by 4 (optimal value defined by trial and error). …”
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107
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…”