The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)

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)

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)

Table 2_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)

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

Image 2_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.png حسب Valentina Di Salvatore (6296114)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... حسب Yangyang Liu (807797)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

Table5_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…The initial implementation of the tAI had significant flaws. For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table 1_Epilepsy-associated CHD2 missense variants and optimization strategies for genetic diagnosis: a comparative analysis of algorithms.docx حسب Yu-Jie Gu (20963948)