Search alternatives:
algorithm catenin » algorithm within (Expand Search)
catenin function » catenin functional (Expand Search), cohesin function (Expand Search), hardening function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm i » algorithm ai (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), link function (Expand Search)
algorithm catenin » algorithm within (Expand Search)
catenin function » catenin functional (Expand Search), cohesin function (Expand Search), hardening function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm i » algorithm ai (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), link function (Expand Search)
-
1761
The structure of a cantilever beam.
Published 2025“…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …”
-
1762
-
1763
Main Figure 2: Characteristics of the gene groups selected by the HN-score
Published 2025“…</p><p dir="ltr">(B–E) Semantic similarity heatmaps of enriched GO terms clustered by the <i>binary cut</i> algorithm (“binary_cut”) implemented in SimplifyEnrichment. …”
-
1764
-
1765
-
1766
Detailed sequences of primers for PCR.
Published 2025“…Our findings also suggested that active m7G levels could promote oxidative phosphorylation in the neurons of epilepsy patients and decrease neuronal necroptosis activity. Machine learning algorithms were used to identify key m7G regulators (EIF4E3, NUDT3, SNUPN, LSM1, and METTL1), and a nomogram model was constructed based on these findings. …”
-
1767
-
1768
Optimizing agarase production from <i>Microbulbifer</i> sp. using response surface methodology and machine learning models
Published 2025“…The study also explores various machine learning algorithms where radial basis function neural network performed best with R-squared values of 0.989 and low mean squared error of 0.44, indicating the reliability and robustness of predicting agarase activity with high accuracy and generalization. …”
-
1769
-
1770
-
1771
Can Coarse-Grained Molecular Dynamics Simulations Predict Pharmaceutical Crystal Growth?
Published 2025“…This is followed by applying Particle Swarm Optimization (PSO), a global optimum searching algorithm, to the CG Lennard-Jones intermolecular potentials to fit the radial distribution functions of both the crystalline and melt structures. …”
-
1772
-
1773
S1 File -
Published 2024“…<div><p>Hand motion intention recognition has been considered as one of the crucial research fields for prosthetic control and rehabilitation medicine. …”
-
1774
Energy management hierarchical system.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1775
Energy management scheme’s structure.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1776
Hourly μG load, EVs load, and total load.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1777
Configuration of PEMFC.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1778
EM of the μG with BSS in Case 2.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1779
Microgrid configuration.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”
-
1780
Flowchart of KHO.
Published 2024“…Analyzing three case studies depending on the objective function—Case 1: execute EM to minimize total operation cost and maximize the profits of BSS, Case 2: execute EM to minimize total emission from the μG, and Case 3: execute EM to minimize total operation cost, maximize the profits of BSS, and minimize total emissions from the μG. …”