بدائل البحث:
based optimization » whale optimization (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
mask based » task based (توسيع البحث), tasks based (توسيع البحث), risk based (توسيع البحث)
data based » data used (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
mask based » task based (توسيع البحث), tasks based (توسيع البحث), risk based (توسيع البحث)
data based » data used (توسيع البحث)
-
101
DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
منشور في 2024"…Cooking data were classified into binary and multiclass variables (CT4C and CT6C). …"
-
102
-
103
Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
منشور في 2022"…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …"
-
104
Models and Dataset
منشور في 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. …"
-
105
Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
منشور في 2024"…Cooking data were classified into binary and multiclass variables (CT4C and CT6C). …"
-
106
Supplementary Material 8
منشور في 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.…"
-
107
Seed mix selection model
منشور في 2022"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"
-
108
Flow diagram of the automatic animal detection and background reconstruction.
منشور في 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). …"
-
109
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 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.…"