The effect of each parameter on the target functions. by Shangyang Jin (21772466)

The combined effect between each parameter on the target 3. by Shangyang Jin (21772466)

The combined effect between each parameter on the target functions. by Shangyang Jin (21772466)

De Novo Inverse Design Superhard C–N Compounds via Global Machine Learning Interatomic Potentials and Multiobjective Optimization Algorithm by Guanjian Cheng (21176131)

Subjects:

Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

“…<p>Statistics of the ranks achieved by individual optimization algorithms on the different benchmarks involving multiple error components (Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012039#pcbi.1012039.g001" target="_blank">1</a>, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012039#pcbi.1012039.g004" target="_blank">4</a>, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012039#pcbi.1012039.g005" target="_blank">5</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012039#pcbi.1012039.g006" target="_blank">6</a>) according to the final error (A) and convergence speed (B). …”

Leiden algorithm-identified clusters for uniform manifold approximation and projection (UMAP) visualization of optimized gene sets. by Zhizhong Wang (838758)

The optimal fusion strategies corresponding to each frame. by Yandong Liu (11893664)

Subjects:

6x6 LUT-based multiplication. by Ayesha Waris (21368446)

Subjects:

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

Comparison between FEA and experimental results [33]. by Shangyang Jin (21772466)

Comparison between FEA (in this work) and experimental results [33]. by Shangyang Jin (21772466)

MultiCRISPR-EGA: Optimizing Guide RNA Array Design for Multiplexed CRISPR Using the Elitist Genetic Algorithm by Yangyu Zhang (4609117)

“…Computational experiments on Escherichia coli gene targets demonstrate that the EGA can rapidly optimize multiplexed gRNA arrays, outperforming other intelligent optimization algorithms in CRISPR interference (CRISPRi) applications, while the GUI provides real-time design progress control and compatibility with various CRISPR-Cas systems. …”

The results of fitting a phenomenological spiking neuronal model (the adaptive exponential integrate-and-fire model) to capture experimental recordings with multiple traces. by Máté Mohácsi (20469514)

rbpTransformer model using multiple cores. by Ahmet Gürhanlı (21602042)

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

Number of each target category. by Wan-Hua Zhang (21601139)

Illustration of our EM algorithm (for <i>k</i> = 3 at <i>t</i> = 1) that updates a randomly initialized density in (a) through Iterations 1–6 in (b)–(g) to approximate the unknown... by John Y Choe (20890175)

An optimal solution <i>A</i>⁺ for the example in Fig 1, found following the steps detailed in Fig 4. by Jordan Moutet (21800145)

A sequence of intermediate solutions produced by the top-down phase on the input of Fig 1, leading to an optimal solution (step 5). by Jordan Moutet (21800145)

ROSHAMBO2: Accelerating Molecular Alignment for Large Chemical Libraries with GPU Optimization and Algorithmic Advances by Rasha Atwi (11664258)

“…ROSHAMBO, an open-source package for optimizing molecular alignment using Gaussian volume overlaps, demonstrated near-state-of-the-art performance and accuracy across multiple target classes. …”