Results from different ML algorithms. حسب Caroline L. Alves (14271413)

ROC curve for each ML algorithm. حسب Caroline L. Alves (14271413)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Motoneuron counts and white matter area at spinal L2-L4 lesion epicenters do not significantly affect behavioral deficits. حسب Naëmi Kuehn (17310359)

الموضوعات:

The impact of extrinsic noise sources on the measured SNR is plotted for both CW and TG against varying optical filter magnitudes. حسب Nicholas H. Vitale (20469289)

Schematics for gmxapi operations. حسب M. Eric Irrgang (4487278)

Algorithm performance compared to mean of expert manual counts with varying axial sampling. حسب Adam L. Tyson (10892822)

Flowchart for the genetic algorithm used in this article. حسب Behnam Kia (6111551)

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Model selection for machine learning algorithm based on microbial abundances. حسب Elio L. Herzog (11576876)

Results of L-SHADE based on our method, MLCCDE, EDEV, MPEDE and CoBiDE when function dimensionality is set 30. حسب Haiming Du (6691646)

Top 11 bacteria and top 26 pathways according to CAT-scores. حسب Elio L. Herzog (11576876)

Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

"…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"

Parameter estimation for <i>L</i>₁. حسب Zhengbin Li (14259417)

Parameter estimation for <i>L</i>₂. حسب Zhengbin Li (14259417)

Standard functions to test. حسب Kemal Gökhan Nalbant (18858009)

Comparison of different algorithms. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

FRACTIONAL ORDER LOG BARRIER INTERIOR POINT ALGORITHM FOR POLYNOMIAL REGRESSION IN THE ℓ p -NORM حسب Eliana Contharteze Grigoletto (14178517)

"…In this study, inspired in applications of fractional calculus in many fields, was developed the so-called fractional order log barrier interior point algorithm by replacing some integer derivatives for the corresponding fractional ones on the first order optimality conditions of Karush-Kuhn-Tucker to solve polynomial regression models in the ℓ p −norm for 1 < p < 2. …"