Results 241 to 250 of about 1,423,064 (275)

The principles behind equivariant neural networks for physics and chemistry. [PDF]

Proc Natl Acad Sci U S A
Kondor R.
europepmc   +1 more source

Hybrid Neural Network Architecture for Automated Liver and Tumor Segmentation Using Ensemble Learning on CT Images. [PDF]

Biomimetics (Basel)
Khoshkhabar M, Meshgini S, Afrouzian R.
europepmc   +1 more source

Tensile and Tear Strength Evaluation of Clean-Grade Silicone with Cellulose Nanocrystals Reinforcement as an Alternative Material for Maxillofacial Prostheses: An Experimental Study. [PDF]

Med Devices (Auckl)
Stefany S, Kusumadewi AN, Damayanti L, Takarini V.   +3 more
europepmc   +1 more source

Mask-Aware Spatiotemporal Classification of Millimeter-Wave Radar Point Cloud Sequences Using DGCNN and Transformer for Child-Pet Recognition in Enclosed Spaces. [PDF]

Sensors (Basel)
Shi Y, Shi J.
europepmc   +1 more source

Special Issue on "Machine Learning-Aided Medical Image Analysis". [PDF]

Bioengineering (Basel)
Mahbod A, Woitek R.
europepmc   +1 more source

Performance Analysis of Advanced Feature Extraction Methods for Manufacturing Defect Detection via Vibration Sensors in CNC Milling Machines. [PDF]

Sensors (Basel)
Bilgin G.
europepmc   +1 more source

Graph Fractional Fourier Transform: A Unified Theory

IEEE Transactions on Signal Processing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aykut Koc, Tuna Alikasifoglu, Bunyamin Kartal   +2 more
exaly   +4 more sources

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Redundant graph Fourier transform

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015
Signal processing on graphs is a new emerging field that processing high-dimensional data by spreading samples on networks or graphs. The new introduced definition of graph Fourier transform shows its importance in establishing the theory of frequency analysis or computational harmonic analysis on graph signal processing. We introduce the definition of
Yulong Wang, Jiantao Zhou, Yuan Yan Tang   +2 more
exaly   +2 more sources

A windowed graph Fourier transform [PDF]

2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
The prevalence of signals on weighted graphs is increasing; however, because of the irregular structure of weighted graphs, classical signal processing techniques cannot be directly applied to signals on graphs. In this paper, we define generalized translation and modulation operators for signals on graphs, and use these operators to adapt the ...
Shuman, David, Ricaud, Benjamin, Vandergheynst, Pierre   +2 more
openaire   +2 more sources