Performance on GradEva. حسب Jamilu Yahaya (18563445)

"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"

The considered test problems. حسب Jamilu Yahaya (18563445)

"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"

Performance on FunEva. حسب Jamilu Yahaya (18563445)

"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"

Performance on Iter. حسب Jamilu Yahaya (18563445)

"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"

Continuation of Table 2. حسب Jamilu Yahaya (18563445)

"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"

Automated Bio-AFM Generation of Large Mechanome Data Set and Their Analysis by Machine Learning to Classify Cancerous Cell Lines حسب Ophélie Thomas - - Chemin (19451533)

"…All of the FCs were then classified using machine learning tools with a statistical approach based on a fuzzy logic algorithm, trained to discriminate between nonmalignant and cancerous cells (training base, up to 120 cells/cell line). …"

Growth rate comparison between models and experimental results in mono-culture and co-culture. حسب Elias Vera-Siguenza (16993830)

Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique حسب Xiangmin Hu (1612399)

"…In this work, a microscopic hyperspectral imaging technique based on differential reflectance was introduced for the online inspection of line defects in TMDs. …"

Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. حسب Konstantina Charmpi (9901053)

Latent state estimations for experimental data with no stressors. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 18. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 22. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 17. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 13. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 3. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 17. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 15. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 7. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 13. حسب Samiul Alam (18563323)