TFHSVul: A Fine-Grained Hybrid Semantic Vulnerability Detection Method Based on Self-Attention Mechanism in IoT.

Conservative Crank-Nicolson-type and compact finite difference schemes for modeling the Schrödinger equation with point nonlinearity.

An Efficient Image Privacy Preservation Scheme for Smart City Applications Using Compressive Sensing and Multi-Level Encryption.

Multitiered Reversible Data Privacy Protection Scheme for IoT Based on Compression Sensing and Digital Watermarking.

Multilevel Privacy Protection for Social Media Based on 2-D Compressive Sensing.

A multi-level privacy-preserving scheme for extracting traffic images.

Positivity Preserving and Mass Conservative Projection Method for the Poisson-Nernst-Planck Equation.

Dual-domain sampling and feature-domain optimization network for image compressive sensing.

On the Generalization Ability of Machine-Generated Text Detectors.

Maximum bound principle preserving and mass conservative projection method for the conservative Allen-Cahn equation.

Designing incoherent unit norm tight frames via block coordinate descent-based alternating projection.

A secure and effective image encryption scheme by combining parallel compressed sensing with secret sharing scheme.

Novel Secure Data Transmission Methods for IoT Based on STP-CS With Multilevel Critical Information Concealment Function.

A Chaotic Compressed Sensing-Based Multigroup Secret Image Sharing Method for IoT With Critical Information Concealment Function.

Coherence-penalty minimization method for incoherent unit-norm tight frame design.

Progressive coherence and spectral norm minimization scheme for measurement matrices in compressed sensing.

A Chaotic Compressive Sensing Based Data Transmission Method for Sensors within BBNs.

Construction of Structured Random Measurement Matrices in Semi-Tensor Product Compressed Sensing Based on Combinatorial Designs.

Semiconductor superlattice physical unclonable function based two-dimensional compressive sensing cryptosystem and its application to image encryption.

Flexible construction of measurement matrices in compressed sensing based on extensions of incidence matrices of combinatorial designs.

Deterministic Constructions of Compressed Sensing Matrices From Unitary Geometry.

Flexible construction of compressed sensing matrices with low storage space and low coherence.

Fourth order compact FD methods for convection diffusion equations with variable coefficients.

How to obtain an accurate gradient for interface problems?

An effective algorithm for the spark of sparse binary measurement matrices.