Flowchart of the DGEP process. حسب Kejia Liu (5699651)

"…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …"

Comparison of the ability to escape local optima. حسب Kejia Liu (5699651)

"…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …"

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

Statistical analysis of DGEP vs. standard GEP. حسب Kejia Liu (5699651)

"…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …"

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

Schematic representation of selected data from the Allen Institute dataset. حسب Saeed Mohammadzadeh (13492285)

Application of explainable clustering on cell features for unsupervised organization scoring. حسب Saeed Mohammadzadeh (13492285)

Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline حسب Fenglin Tian (6002957)

"…This study presents an interactive visualization algorithm designed for the spatio-temporal correlated ocean unsteady flow field utilizing dynamic adaptive pathlines. …"

ProSAAS is expressed in multiple cell types in a mixed species meta-analysis. حسب Nicholas Schaffer (21376843)

Table 2_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.xlsx حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 3_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 1_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 2_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 7_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 6_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 5_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 4_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites حسب Gustav Olanders (3711889)

"…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …"

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites حسب Gustav Olanders (3711889)

"…In the realm of biomedical research, understanding the intricate structure of proteins is crucial, as these structures determine how proteins function within our bodies and interact with potential drugs. …"