Metabolic tasks can be inferred from omics data to determine which tasks should be protected during the model extraction process. by Anne Richelle (6589178)

“…<p>(A) Metabolic functions are inferred from transcriptomic data using the genome-scale model and then protected during the implementation of the extraction algorithms. …”

Fig 2 - by Dillion M. Fox (4043159)

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

“…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…”

Fitting results of each function. by Hui Huang (4122)

Subjects:

A. Mean change from baseline on Cognitive Ability Scores. by Carol Kotliar (22351525)

Quasi-Newton Acceleration of EM and MM Algorithms via Broyden’s Method by Medha Agarwal (12047927)

“…The method does not require specific information or computation from the objective function or its gradient, and enjoys a limited-memory variant amenable to efficient computation in high-dimensional settings. …”

Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples by Paul R. Rosenbaum (8735217)

“…Two tightened designs are built from a study of light daily alcohol consumption and its possible effects on HDL cholesterol. …”

Effect of post-processing threshold and algorithms performance on the species composition estimation. by Valentine Fleuré (12822137)

“…<p>Estimation of the species composition as a function of post-processing threshold for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors) for 1 frame per second processing rate. …”

Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. by Zhenhan Huang (12107002)

Power quality control algorithms for small scale power intergration systems by Advocate Mlamla (20170815)

“…A control algorithm has been implemented considering the stated dynamic behaviours of the power system to ensure that the CPDs can restore the power quality required by the consumer and the utilities as regulated by IEEE standards. …”

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

Functional prediction of SOD1 protein variants. by Gabriel Rodrigues Coutinho Pereira (6612542)

“…<p>The SOD1 variants compiled from the literature and databases (233) were analyzed using ten different functional prediction algorithms. …”

Easily Parallelizable and Distributable Class of Algorithms for Structured Sparsity, with Optimal Acceleration by Seyoon Ko (771550)

“…We consider two classes of primal–dual algorithms that do not incur these difficulties, and unify them from a perspective of monotone operator theory. …”

Calculation of the Jacobian matrix from different assumptions of the linearization point and the modification of the Jacobian matrix by a subset. by Rongqing Chen (249906)

Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance by Xuejun Yu (631893)

“…Checking for uniformity when a posterior density is approximated numerically provides a diagnostic for algorithm validity. …”

List of Abbreviations by Gursimran Singh (575288)

Subjects:

The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

Subjects:

Comparison of the original a and the proposed a. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

Assessment of CCD2PI on an independent dataset, and comparison with a sequence-based deep learning method. by Chloé Dequeker (4966165)