Search alternatives:
model optimization » global optimization (Expand Search), based optimization (Expand Search), wolf optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
library based » laboratory based (Expand Search)
binary test » binary depot (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
test model » best model (Expand Search), best models (Expand Search), net model (Expand Search)
model optimization » global optimization (Expand Search), based optimization (Expand Search), wolf optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
library based » laboratory based (Expand Search)
binary test » binary depot (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
test model » best model (Expand Search), best models (Expand Search), net model (Expand Search)
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ANOVA test for optimization results.
Published 2025“…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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Wilcoxon test results for optimization.
Published 2025“…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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ANOVA test for feature selection.
Published 2025“…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”