Results 131 to 140 of about 4,199,245 (250)

Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks

, 1999
The paper presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the ...
Luk, B.L., Wu, Y., Chen, S.
core   +1 more source

Inheritance Patterns of Flower Color Traits in Self-Pollinated and Cross-Pollinated Progeny of Four Commercial <i>Catharanthus roseus</i> Cultivars. [PDF]

Plants (Basel)
Huang TH, Lu YC, Shen RS.
europepmc   +1 more source

A hybrid genetic algorithm for solving a layout problem in the fashion industry. [PDF]

As of this writing, many success stories exist yet of powerful genetic algorithms (GAs) in the field of constraint optimisation. In this paper, a hybrid, intelligent genetic algorithm will be developed for solving a cutting layout problem in the Belgian ...
Put, Ferdinand, Martens, J, Van Brecht, J, Viaene, Stijn   +3 more
core  

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Second-tier genetics improves newborn screening accuracy for SCID and other T cell deficiencies. [PDF]

J Hum Immun
Duintjer AJ, Blom M, Bredius RGM, Pico-Knijnenburg I, Heuperman A, Hodemaekers H, Imholz S, Dollé MET, Brandsema RB, van de Corput L, Henriet SS, Kuijpers TW, van Montfrans JM, Vermont CL, van Well GTJ, Zonneveld-Huijssoon E, Voorhoeve E, van Gijn ME, van der Burg M.   +18 more
europepmc   +1 more source

The Collective Power of Bacteria as a Blueprint for Emergent Intelligence

Advanced Intelligent Systems, EarlyView.
Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee, Thomas E. Gorochowski, Sabine Hauert   +2 more
wiley   +1 more source

Integrated Single-Strand DNA Capture and Haplotype-Guided Variant Calling Platform for Non-Invasive Prenatal Testing of Monogenic Disorders. [PDF]

Diagnostics (Basel)
Shen J, Liu W, Lu L, Yu L, Wang Y, Zhang N, Lin F, Diao Z, Li H, Xiao R, Zhu X, Zhang J.   +11 more
europepmc   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

A Multimodal Biomedical Transformer Fusion Network for Disease-Level Rare-Disease-Inheritance Classification Using Ontology-Enriched Text, Metadata, and Gene Associations. [PDF]

Biomedicines
Mahmood MA, Alsalem K.
europepmc   +1 more source

A Grouping Genetic Algorithm for the Order Batching Problem in Distribution Warehouses [PDF]

Order picking is a warehouse function that deals with the retrieval of articles from their storage locations in order to satisfy certain customer demands. Combining several single customer orders into one (more substantial) picking order can increase the
Sören Koch, Gerhard Wäscher
core