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Application of near-infrared spectral imaging and artificial intelligence classification in basketball motion image recognition
Basketball motion image recognition is a challenging task, and traditional methods often face many limitations and difficulties. The purpose of this...
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DSRL: A low-resolution stellar spectral of LAMOST automatic classification method based on discrete wavelet transform and deep learning methods
Automatic classification of stellar spectra contributes to the study of the structure and evolution of the Milky Way and star formation. Currently...
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A novel model for hyper spectral image enhancement and classification: PCA, MBAO and CNN integration
Hyperspectral images (HSI) are contiguous band images commonly used in remote sensing applications. Over the past decades, significant advancements...
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Automatic Technique for Spectral Analysis
The paper puts forward two automatic methods to deal with astronomical spectra. An automatic classification method of stellar spectra using the Self...
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Analysis of the Efficiency of Hyperspectral Data Classification under Constraints on the Quantization Bit Depth, the Number of Spectral Channels, and Spatial Resolution
AbstractThe possibility of creating an operational frame hyperspectrometer functioning as a conventional camera is studied. It is considered how the...
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Classification of Flat Spectrum Radio Quasars by Optical Activity Types
We have carried out a spectral classification by the activity types for a subsample of blazars from the BZCAT v.5 Catalogue, namely the Flat Spectrum...
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Enhanced Hyperspectral Image Classification Through Pretrained CNN Model for Robust Spatial Feature Extraction
Hyperspectral imaging is a crucial technology of remote sensing that captures hundreds of continuous spectral bands. In hyperspectral image (HSI)...
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Research on Infrared and Terahertz Spectral Characterization Systems
Electromagnetic waves in the infrared (3–11 μm) and terahertz (30–3000 μm) bands resonate absorption reactions with chemical bonds in biological...
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Rapid Identification and Classification of Metal Waste by Laser-Induced Breakdown Spectroscopy
The rapid identification and classification of metal garbage has been experimentally investigated. By combining laser-induced breakdown spectroscopy...
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Optical Classification of BZG Objects from the BZCAT Blazar Catalog
In the blazar catalog BZCAT the objects are divided into 4 types: BZB, BZQ, BZG, and BZU. In this paper BZG objects are studied in order to determine...
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Analytic validation of convolutional neural network-based classification of pigmented skin lesions (PSLs) using unseen PSL hyperspectral data for clinical applications
In this study, we aimed not only to analyze model performance of the convolutional neural network (CNN)-based pigmented skin lesion (PSL)...
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Electromyography signal segmentation method based on spectral subtraction backtracking
Surface electromyography (EMG) is a bioelectrical signal that recognizes speech contents in a non-acoustic form. Activity detection is an important...
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The spectral evolution of white dwarfs: where do we stand?
White dwarfs are the dense, burnt-out remnants of the vast majority of stars, condemned to cool over billions of years as they steadily radiate away...
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SDFC dataset: a large-scale benchmark dataset for hyperspectral image classification
Hyperspectral image (HSI) classification plays an important role in a wide range of remote sensing applications in military and civilian fields....
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A spectral metric for collider geometry
By quantifying the distance between two collider events, one can triangulate a metric space and reframe collider data analysis as computational...
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Wearable sensors based on infrared spectral imaging for monitoring muscle movement
With the continuous progress of modern competitive sports, the training intensity of table tennis is gradually increasing, which has led to an...
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Gaia Data Release 3: Distribution of Spectral Groups of Near-Earth Asteroids
Abstract —Based on the data from the third edition of the Gaia catalog, containing the reflectance spectra of asteroids, studies of near-Earth...
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Automated Classification Techniques for Large Spectroscopic Surveys
With the onset of large, systematically selected spectroscopic surveys we have the opportunity to understand the distribution and evolution of...