Rastrigin function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Levy function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Levy function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Rastrigin function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Rastrigin function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

Rosenbrock function losses for . حسب Shikun Chen (14625352)

"…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"

A Chemoproteomic Approach for System-Wide and Site-Specific Uncovering of Functional Protein N‑Glycosylation حسب Guoli Wang (59357)

"…However, there is still a considerable delay in systematic research on the functional significance of these modifications. …"

Parameters to configure the multi-staged vascularization using the PDCCO algorithm. حسب Eduardo G. Zilves (22209247)

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

PSO parameters and objective function. حسب André G. Coimbra (21354135)

GA parameters and objective function. حسب André G. Coimbra (21354135)

Nash equilibrium payoffs (_<i>i</i>) with the sensory–motor algorithm between a single predator and a single prey. حسب Hiroyuki Ichijo (13891153)

Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm. حسب Chengting Wu (21485612)

Table 2_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx حسب Xiaoyuan Meng (22261234)

"…The MCODE algorithm was used to identify key modules, and CytoHubba was applied to determine hub genes. …"

Table 1_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx حسب Xiaoyuan Meng (22261234)

"…The MCODE algorithm was used to identify key modules, and CytoHubba was applied to determine hub genes. …"

Table 3_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx حسب Xiaoyuan Meng (22261234)

"…The MCODE algorithm was used to identify key modules, and CytoHubba was applied to determine hub genes. …"

Weighting Function Fitting Process Diagram. حسب Jiahui Gan (22793753)

Flow chart diagram of quantum hash function. حسب Sultan H. Almotiri (14029251)

"…However, in the pursuit of complexity, vulnerabilities may be introduced inadvertently, posing a substantial danger to software security. Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …"

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. حسب María Victoria Waks-Serra (21578611)

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides حسب Zhihan Zhang (1403308)

"…Leveraging the sequences within the flavodoxin-like subdomain, we developed a substrate specificity prediction algorithm using a protein language model, achieving 92% overall prediction accuracy for 43 frequently observed amino acids, significantly improving the prediction reliability. …"