A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"

The confidence curve of a binary image. حسب Dingming Yang (8505990)

The confidence change of the binary image after iteration. حسب Dingming Yang (8505990)

<i>Patient 1</i> GA-optimized model error. حسب Dmitrii Smirnov (8822324)

الموضوعات:

<i>Patient 8</i> GA-optimized model error. حسب Dmitrii Smirnov (8822324)

الموضوعات:

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Optimal Drug-Target Docking Visualization. حسب Qijun Wo (12992781)

Algorithm verification. حسب Dmitrii Smirnov (8822324)

الموضوعات:

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. حسب Dmitrii Smirnov (8822324)

الموضوعات:

Screening MMRG gene variables associated with UC based on the optimal machine learning model. حسب Li Li (14993)

<i>Patient 2</i> CAGE-based model error. حسب Dmitrii Smirnov (8822324)

الموضوعات:

<i>Patient 9–11</i> RNA-seq based models error. حسب Dmitrii Smirnov (8822324)

الموضوعات:

Comparison of presented algorithm precision to Bot et al. حسب Dmitrii Smirnov (8822324)

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Model convergence to steady state. حسب Dmitrii Smirnov (8822324)

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Key gene identification based on two machine learning algorithms. حسب Lijun Guo (605276)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

<i>Patient 8</i> GA output model. حسب Dmitrii Smirnov (8822324)

الموضوعات:

The flow chart of harmony search-based OED using a double nested loops. حسب Wei Zhang (405)

Table 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf حسب Valentina Di Salvatore (6296114)

"…Parallelly, we trained a Random Forest regression model on simulated lipid nanoparticles formulations to predict immune activation values and embedded this model into a genetic algorithm to identify optimal lipid nanoparticles design parameters (size, charge, polyethylene glycol content, and targeting). …"

Presentation 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf حسب Valentina Di Salvatore (6296114)

"…Parallelly, we trained a Random Forest regression model on simulated lipid nanoparticles formulations to predict immune activation values and embedded this model into a genetic algorithm to identify optimal lipid nanoparticles design parameters (size, charge, polyethylene glycol content, and targeting). …"