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Discriminative low-rank embedding with manifold constraint for image feature extraction and classification
The robustness against noise, outliers, and corruption is a crucial issue in image feature extraction. To address this concern, this paper proposes a...
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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 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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Astrocladistics: evolutionary classification for galaxies of the M81 group
This work deals with the classification of galaxies based on the evolutionary and hierarchical development of their parameters. We apply the...
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A deep learning based fine-grained classification algorithm for grading of visual impairment in cataract patients
Recent advancements in artificial intelligence (AI) have shown promising potential for the automated screening and grading of cataracts. However, the...
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Benchmark and application of unsupervised classification approaches for univariate data
Unsupervised machine learning, and in particular data clustering, is a powerful approach for the analysis of datasets and identification of...
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Classification of the White Dwarf Populations Using Neural Networks
The existence of an observational luminosity function for halo white dwarfs could provide valuable information about the age, the star formation rate...
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Classification of equation of state in relativistic heavy-ion collisions using deep learning
Convolutional Neural Nets, which is a powerful method of Deep Learning, is applied to classify equation of state of heavy-ion collision event...
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Graph attention network via node similarity for link prediction
Link prediction is a classic complex network analytical problem to predict the possible links according to the known network structure information....
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An investigation on space debris of unknown origin using proper elements and neural networks
Proper elements represent a dynamical fingerprint of an object’s inherent state and have been used by small-body taxonomists in characterizing...
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Classification of Adaptive Traits and Criteria for Optimality in Adaptive Evolution
A mathematical model has been proposed for the dynamics of a biological community. The model is a system of equations that describe the dynamics of...
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Mathematical Definition of Vortex Boundary and Boundary Classification Based on Topological Type
Recently, new progress has been made in vortex recognition, and the definition of Liutex (Rortex) based on eigenvectors has established a relation...
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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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Discrimination of Manufacturers Origin of Oxytetracycline Using Terahertz Time-Domain Spectroscopy with Chemometric Methods
We propose an effective approach for determining the manufacturer of oxytetracycline based on terahertz time-domain spectroscopy and chemometrics....
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Inter-nucleosomal potentials from nucleosomal positioning data
No systematic method exists to derive inter-nucleosomal potentials between nucleosomes along a chromosome consistently across a given genome. Such...
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Deep Learning in the Expansion of the Urban Spot
A modeling of urban expansion is presented that empirically and methodologically applies artificial neural networks and cellular automata....
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A real-time face detection based on skin detection and geometry features
In recent decades, researchers have been interested in face detection due to its application in computer vision and pattern recognition technologies,...
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Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia
Understanding the factors that contribute to the adoption of rooftop solar panels can help design appropriate policies to convert potential adopters...
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A degree-related and link clustering coefficient approach for link prediction in complex networks
AbstractLink prediction plays a significant role in both theoretical research and practical application of complex network analysis, and thus has...
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Machine learning guided rapid discovery of narrow-bandgap inorganic halide perovskite materials
The bandgap of inorganic halide perovskites plays a crucial role in the efficiency of solar cells. Although density functional theory can be used to...
