Results 191 to 200 of about 2,884,172 (338)

Fuzzy Clustering Analysis

, 2010
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, Madani, Sri Phani Venkata Siva Krishna, Yun, Feng   +2 more
openaire   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
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, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Electrical Sensor Calibration by Fuzzy Clustering with Mandatory Constraint. [PDF]

Sensors (Basel)
Yue S, Fu K, Liu L, Zhao Y.
europepmc   +1 more source

A Social Force Evacuation Model with Guides Based on Fuzzy Clustering and a Two-Layer Fuzzy Inference. [PDF]

Comput Intell Neurosci, 2022
Xiao Q, Li J.
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
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, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Fuzzy clustering of 24-2 visual field patterns can detect glaucoma progression. [PDF]

PLoS One
Kim H, Moon S, Lee J, Kim E, Jin SW, Kim JL, Lee SU, Kim J, Yoo S, Lee J, Song G, Lee J.   +11 more
europepmc   +1 more source

Noise-insensitive discriminative subspace fuzzy clustering. [PDF]

J Appl Stat, 2023
Zhi X, Yu T, Bi L, Li Y.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering. [PDF]

Sci Rep
Ahmed U, Nazir M, Sarwar A, Ali T, Aggoune EM, Shahzad T, Khan MA.   +6 more
europepmc   +1 more source

Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors. [PDF]

Biomedicines, 2022
El-Melegy M, Kamel R, Abou El-Ghar M, Alghamdi NS, El-Baz A.   +4 more
europepmc   +1 more source