HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms. [PDF]
Wang X, Wang X, Lv T, Jin L, He M.
europepmc +1 more source
Automated Search for Multidimensional Design Windows Using Evolutionary Algorithms and Clustering
Daisuke Ishihara+5 more
openalex +2 more sources
Model-Based Evolutionary Algorithms [PDF]
Dirk Thierens, Peter A. N. Bosman
openaire +10 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore+7 more
wiley +1 more source
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges. [PDF]
Wang C+5 more
europepmc +1 more source
Performance Improvement in Brain Tumor Detection in MRI Images Using a Combination of Evolutionary Algorithms and Active Contour Method. [PDF]
Saeidifar M, Yazdi M, Zolghadrasli A.
europepmc +1 more source
Hybrid methods using evolutionary algorithms for on-line training [PDF]
George D. Magoulas+2 more
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This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To+5 more
wiley +1 more source
Fuzzy logic applied to tunning mutation size in evolutionary algorithms. [PDF]
Pytel K.
europepmc +1 more source
On a multi-objective evolutionary algorithm and its convergence to the Pareto set [PDF]
Günter Rudolph
openalex +1 more source