Membership function of error E2 for tank 2. حسب Tamiru Demelash Kassie (20678515)

(a) Comparison between SDNN and Traditional Methods. The horizontal axis represents the prediction horizon, while the vertical axis denotes computation time; red denotes traditiona... حسب Kai Sun (140584)

Schematic diagram of the siting of a tiered fire station. حسب Junjie He (700642)

Wilcoxon signed-rank test results comparing IFOX with other optimization algorithms across CL, C17, C19, C21, C22, and RWPs. حسب Mahmood A. Jumaah (22272371)

Example of how the Resnet34UNet model functions. حسب Henrik Mustonen (20378529)

Feto-placental vasculatures with non-central (A) and centralised (B) umbilical artery insertion. حسب Diana C. de Oliveira (9220729)

Each column represents a cluster designated by FRECL, either when considering the average across the two days (1d) or the two days separately (2d). حسب Susana Conde (5495675)

Predicted F1 score across temporal aggregation levels and BirdNET parameters. حسب Andrew J. Fairbairn (22231970)

Convergence curves on the functions C22F1, C22F4, C22F5, C22F9, C22F10, C22F12, CBP, CSP, and TCP. حسب Mahmood A. Jumaah (22272371)

A neurodynamic approach for a class of pseudoconvex semivectorial bilevel optimization problems حسب Tran Ngoc Thang (21413733)

"…<p>The article proposes an exact approach to finding the global solution of a nonconvex semivectorial bilevel optimization problem, where the objective functions at each level are pseudoconvex, and the constraints are quasiconvex. …"

(a) Random initialized population distribution (b) Good point set initialized population distribution. حسب Tengfei Ma (597633)

Data Sheet 1_Flow-based parameterization for DAG and feature discovery in scientific multimodal data.pdf حسب Elise Walker (19937997)

"…Our algorithm introduces a new DAG parameterization, which we use to learn a BN simultaneously with a latent space of a variational autoencoder in an end-to-end differentiable framework via a single, tractable evidence lower bound loss function. …"

CEC2022 and CEC2017 benchmark functions. حسب Chengcheng Ding (9013862)

Dependency of the average execution time of a single iteration corresponding to the proposed correlation method and the recursive pseudolinear regression as a function of the numbe... حسب Martin Dodek (20623832)

Effect of the transmission probability function on epidemic spread. حسب Soler Gabriela Bayolo (21011810)

The research framework. 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. …"

Optimization outcome for the elongation problem. 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. …"

Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling حسب Shan He (121220)

"…To address this, we created a new data set of NP systems from public sources. …"

Table 1_Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.xlsx حسب Jing-Hong Xiao (22780781)

"…Integrating machine learning with GWAS offers a path to improve risk prediction and uncover functional variants relevant to precision medicine.…"

Supplementary file 1_Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.docx حسب Jing-Hong Xiao (22780781)

"…Integrating machine learning with GWAS offers a path to improve risk prediction and uncover functional variants relevant to precision medicine.…"