HCT: a hybrid CNN and transformer network for hyperspectral image super-resolution.

A novel spatial and spectral transformer network for hyperspectral image super-resolution.

Channel Self-Attention Based Multiscale Spatial-Frequency Domain Network for Oriented Object Detection in Remote Sensing Imagery.

3DCNN-NF: Few-Shot Hyperspectral Image Change Detection Based on 3-D Convolution Neural Network and Normalizing Flow.

MFFCI-YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information.

An improved fuzzy c-means method based on multivariate skew-normal distribution for brain MR image segmentation.

A hybrid U-shaped and transformer network for change detection in high-resolution remote sensing images.

AuditWen:An Open-Source Large Language Model for Audit.

Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction.

Low-rank 2D local discriminant graph embedding for robust image feature extraction.

A Novel Cross-Scale Octave Network for Hyperspectral and Multispectral Image Fusion.

Spatial-Spectral Local Domain Adaption for Cross Domain Few Shot Hyperspectral Images Classification.

Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning.

MMSRC: A Multidirection Multiscale Spectral-Spatial Residual Network for Hyperspectral Multiclass Change Detection.

Weighted Collaborative Sparse and L_1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing.

BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection.

A new weakly supervised discrete discriminant hashing for robust data representation.

An Efficient Formal Modeling Framework for Hybrid Cloud-Fog Systems.

Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images.

TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection.

SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection.

Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction.

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification.

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images.

3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification.

The classification of gliomas based on a Pyramid dilated convolution resnet model.

Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification.

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.

A novel method for breast mass segmentation: from superpixel to subpixel segmentation.

Discriminant maximum margin projections for face recognition.

Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation.

A method of visibility forecast based on hierarchical sparse representation.

Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation.

Robust Regression-Based Markov Random Field for Hyperspectral Image Classification.

Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction.

A Hybrid Task Scheduling Scheme for Heterogeneous Vehicular Edge Systems.

Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation.

Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation.

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm.

Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition.

A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising.

A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints.

A cloud computing architecture for characterization and classification of moving object.

Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images.

A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images.

Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method.

Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression.

Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images.