Results 181 to 190 of about 152,595 (295)
Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis. [PDF]
Gui J, Suh J.
europepmc +1 more source
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction. [PDF]
Alsalem K.
europepmc +1 more source
A Social Force Evacuation Model with Guides Based on Fuzzy Clustering and a Two-Layer Fuzzy Inference. [PDF]
Xiao Q, Li J.
europepmc +1 more source
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Electrical Sensor Calibration by Fuzzy Clustering with Mandatory Constraint. [PDF]
Yue S, Fu K, Liu L, Zhao Y.
europepmc +1 more source
Noise-insensitive discriminative subspace fuzzy clustering. [PDF]
Zhi X, Yu T, Bi L, Li Y.
europepmc +1 more source
The Objective of this thesis is to talk about the usage of Fuzzy Logic in pattern recognition. There are different fuzzy approaches to recognize the pattern and the structure in data. The fuzzy approach that we choose to process the data is completely depends on the type of data.
Karim, Ehsanul +2 more
openaire +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Fuzzy clustering of 24-2 visual field patterns can detect glaucoma progression. [PDF]
Kim H +11 more
europepmc +1 more source

