FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …"

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

Flowchart of proposed fitness function algorithm. حسب Ferhat Yuna (21519851)

"…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.…"

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. حسب Turgay Şengül (12801990)

"…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…"

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. حسب Mahmood A. Jumaah (22272371)

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. حسب Turgay Şengül (12801990)

"…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…"

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

"…Two approaches, both leveraging batched dense linear algebra, are found to outperform the others across a suite of molecular benchmarks. We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …"

Coarse-fine optimization algorithm. حسب Chao Ma (207385)

"…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …"

Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

Types of training algorithms. حسب Caixia Yan (6647072)

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

"…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …"

The benchmark functions. حسب Shuhui Yu (1535500)

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"

Algorithm parameters. حسب Ruyi Dong (9038174)

"…Finally, the Cauchy-Gaussian mutation strategy is utilized to prevent the algorithm from falling into local traps. These three steps enable LLSKSO to achieve a dynamic balance between local and global search. …"

IEEE CEC 2017 benchmark function specifications. حسب Kankan Tang (21474968)