Search alternatives:
based optimization » whale optimization (Expand Search)
dose optimization » model optimization (Expand Search), wolf optimization (Expand Search), design optimization (Expand Search)
binary place » binary image (Expand Search), binary plddt (Expand Search)
place based » plate based (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 dose » 2 doses (Expand Search), _ dose (Expand Search), a dose (Expand Search)
based optimization » whale optimization (Expand Search)
dose optimization » model optimization (Expand Search), wolf optimization (Expand Search), design optimization (Expand Search)
binary place » binary image (Expand Search), binary plddt (Expand Search)
place based » plate based (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 dose » 2 doses (Expand Search), _ dose (Expand Search), a dose (Expand Search)
-
1
Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…This problem is of the pick-and-place type and is NPhard. The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …”
-
2
DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…Classification of genotypes was carried out using the K-nearest neighbor algorithm (KNN) and partial least squares (PLS) models. …”
-
3
Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…Classification of genotypes was carried out using the K-nearest neighbor algorithm (KNN) and partial least squares (PLS) models. …”
-
4
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). …”
-
5
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”