Results 141 to 150 of about 10,363,966 (256)
A rough set theory based optimal attribute reduction using genetic algorithm
A rough set theory based optimal attribute reduction using genetic ...
X Hang (13282314) +1 more
core
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries. [PDF]
Boone K +3 more
europepmc +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
RSL - The Rough Set Library - Version 2.0
. In this paper we will present some basic properties and functions of the Rough Set Library. The RSL implements fundamental ideas of Rough Set Theory and may be seen as a rough set virtual machine. The version 2.0 contains procedures for rule generation
Jacek Sienkiewicz, Michal Gawrys
core
A Novel Strategy for Minimum Attribute Reduction Based on Rough Set Theory and Fish Swarm Algorithm. [PDF]
Su Y, Guo J.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Contextual classification of network traffic through rough set theory and convolutional neural networks. [PDF]
Priyanka D, Sundara Krishna YK.
europepmc +1 more source
Rough set theory based prognostic classification models for hospice referral. [PDF]
Gil-Herrera E +5 more
europepmc +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source

