Convergence curves of various algorithms under test functions. حسب Jiayuan Wang (3765376)

Faster Exact Exchange for Solids via occ-RI-K: Application to Combinatorially Optimized Range-Separated Hybrid Functionals for Simple Solids with Pseudopotentials Near the Basis Se... حسب Joonho Lee (1351974)

الموضوعات:

Comparison of algorithms in two cases. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …"

The proposed feature extraction algorithm. حسب Ali Ahmed (2567584)

الموضوعات:

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"

Fig 2. Estimated correlation coefficient values of the following algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using full SNP (Full-) and haplotype block (Haplotype-) dataset. Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP). حسب Mohsen Yoosefzadeh Najafabadi (11950262)

"…Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP).…"

Fig 3. Estimated coefficient of determination (R2) value of the tested algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using haplotype block (Haplotype-) dataset. Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP). حسب Mohsen Yoosefzadeh Najafabadi (11950262)

"…Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP).…"

Reflection matrix microscopy data and CLASS algorithms حسب Sungsam Kang (18931031)

"…<h3><b>Reflection matrix microscopy data and CLASS algorithms</b></h3><p dir="ltr">This software package includes essential algorithms for reflection matrix microscope (RMM) and the CLASS algorithm. …"

Testing performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

Training performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

The optimal solution set of NYN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The optimal solution set of HN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Search Algorithms and Loss Functions for Bayesian Clustering حسب David B. Dahl (11761055)

The convergence curve of each optimization algorithm under the test function. حسب Hao Yang (328526)

The structure of genetic algorithm (GA). حسب Ali Akbar Moosavi (17769033)

"…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. حسب Abdullah Khan (377292)