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Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features
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182
Changing our Diagnostic Paradigm Part II: Movement System Diagnostic Classification
Published 2022-01-01Get full text
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183
Imbalanced Data Sets Classification Based on SVM for Sand-Dust Storm Warning
Published 2015-01-01Get full text
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184
X-Ray Lung Image Classification Using a Canny Edge Detector
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185
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Improved machine classification algorithm for electric rail circuits in train warning systems
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188
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
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189
Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification
Published 2025-01-01“…To address these issues, we propose the DWT-1DCNN-LSTM network as an interpretable model for PQD classification. This method effectively decomposes the time-domain signals into sub-signals in different frequency bands by employing the Discrete Wavelet Transform (DWT), which enhances the anti-interference capability of the classification model. …”
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190
Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning
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191
TNM-Like Classification: A New Proposed Method for Heart Failure Staging
Published 2013-01-01Get full text
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192
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification
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193
Fine-Grained Building Classification in Rural Areas Based on GF-7 Data
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194
Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning
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195
Relationship between Cognitive Learning Psychological Classification and Neural Network Design Elements
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196
Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine
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197
Novel transfer learning approach for hand drawn mathematical geometric shapes classification
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198
A Framework for Coxeter Spectral Classification of Finite Posets and Their Mesh Geometries of Roots
Published 2013-01-01“…We are mainly interested in a Coxeter spectral classification of posets J such that the symmetric Gram matrix GJ:=(1/2)[CJ+CJtr]∈𝕄J(ℚ) is positive semidefinite, where CJ∈𝕄J(ℤ) is the incidence matrix of J. …”
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Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China
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200