Search alternatives:
required optimization » guided optimization (Expand Search), resource optimization (Expand Search), feature optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
data required » data acquired (Expand Search)
primary data » primary care (Expand Search)
pine tree » pine trees (Expand Search)
tree wolf » grey wolf (Expand Search)
required optimization » guided optimization (Expand Search), resource optimization (Expand Search), feature optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
data required » data acquired (Expand Search)
primary data » primary care (Expand Search)
pine tree » pine trees (Expand Search)
tree wolf » grey wolf (Expand Search)
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Dendrogram of the stock prices.
Published 2025“…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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Descriptive statistics on stock prices.
Published 2025“…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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Correlation heatmap of the principal components.
Published 2025“…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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ECE6379_PSOM.zip
Published 2021“…Optimization algorithms that are commonly used to solve these problems will also be covered including linear programming, mixed-integer linear programming, Lagrange relaxation, dynamic programming, branch and bound, and duality theory.…”
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Datasets used for the study and their sources.
Published 2023“…Projecting into 2030, this study aimed at providing geographical information data for guiding future policies on siting required healthcare facilities. …”
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Predicting the Shear Viscosity of Carbonated Aqueous Amine Solutions and Their Blends by Using an Artificial Neural Network Model
Published 2020“…A total of 1682 amine + CO<sub>2</sub> + water viscosity data sets for primary, secondary, and tertiary amines and 220 data points for further accuracy examinations were used. …”
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Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics
Published 2019“…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”
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Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics
Published 2019“…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …”
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XNet: A Bayesian Approach to Extracted Ion Chromatogram Clustering for Precursor Mass Spectrometry Data
Published 2019“…While tandem mass spectrometry remains a primary method for identification and quantification, species-resolved precursor data provides a rich source of unexploited information. …”
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