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Real-Time Classification of Deep and Non-Deep Sleep With Comparative Intervention Experiments
Published 2025-01-01Get full text
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GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification
Published 2019-01-01Get full text
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms
Published 2021-05-01Get full text
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207
Deep Learning-Based Methods for Lithology Classification and Identification in Remote Sensing Images
Published 2025-01-01Get full text
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208
Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification
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209
Effects of data transformation and model selection on feature importance in microbiome classification data
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210
Automated strabismus detection and classification using deep learning analysis of facial images
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211
A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification
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Unifying topological structure and self-attention mechanism for node classification in directed networks
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A decision support system based on classification algorithms for the diagnosis of periodontal disease
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215
Dominant Height Model for Site Classification of Eucalyptus grandis Incorporating Climatic Variables
Published 2013-01-01“…This study tested the effects of inserting climatic variables in Eucalyptus grandis as covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were used, as well as data from 19 automatic meteorological stations from the area. …”
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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification
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218
Detection of weeds in vegetables using image classification neural networks and image processing
Published 2025-01-01“…Among these models, the ResNet model exhibited the highest computational efficiency, with a classification time of 12.76 ms per image and a corresponding frame rate of 80.31 fps, satisfying the requirement for real-time weed detection. …”
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An automatic cervical cell classification model based on improved DenseNet121
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Label credibility correction based on cell morphological differences for cervical cells classification
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