Results 111 to 120 of about 1,141,336 (343)
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
Why Use a Fuzzy Partition in F-Transform?
In many application problems, F-transform algorithms are very efficient. In F-transform techniques, we replace the original signal or image with a finite number of weighted averages.
Vladik Kreinovich +2 more
doaj +1 more source
Adaptive fuzzy partition in database mining: application to olfaction
A data set of 412 olfactory compounds, divided into animal, camphoraceous, ethereal and fatty olfaction classes, was submitted to an analysis by a Fuzzy Logic procedure called Adaptive Fuzzy Partition (AFP).This method aims to establish molecular ...
M. Pintore +3 more
semanticscholar +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Detection of Fuzzy Association Rules by Fuzzy Transforms
We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
doaj +1 more source
Deep Quantum Geometry of Matrices
We employ machine learning techniques to provide accurate variational wave functions for matrix quantum mechanics, with multiple bosonic and fermionic matrices.
Xizhi Han (韩希之), Sean A. Hartnoll
doaj +1 more source
An Overview of Classifier Fusion Methods [PDF]
A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance.
Gabrys, Bogdan, Ruta, Dymitr
core
Atomistic Understanding of 2D Monatomic Phase‐Change Material for Non‐Volatile Optical Applications
Antimony is a promising monatomic phase‐change material. Scaling down the film thickness is necessary to prolong the amorphous‐state lifetime, but it alters the optical properties. The combined computational and experimental study shows that, as thickness decreases, the extinction coefficient and optical contrast are reduced in the near‐infrared ...
Hanyi Zhang +10 more
wiley +1 more source
The report presents a facile room‐temperature method to stabilize Pd single‐atom catalysts within ZIF‐67 crystals during their formation. Despite an ultralow Pd loading (0.0014 wt%), the catalytic microreactor, featuring atomically dispersed Pd‐N4 sites in ZIF‐67, demonstrates superior robustness and maximized Pd utilization, significantly ...
Sisi Yao +6 more
wiley +1 more source
Tsallis Entropy of Fuzzy Dynamical Systems
This article deals with the mathematical modeling of Tsallis entropy in fuzzy dynamical systems. At first, the concepts of Tsallis entropy and Tsallis conditional entropy of order q , where q is a positive real number not equal to 1, of ...
Dagmar Markechová
doaj +1 more source

