Low-Rank Tensor Train Dynamic Mode Decomposition: An Enhanced Multivariate Signal Processing Method for Mechanical Fault Diagnosis.

Variable-Scale Spectral Feature Gram (VSFgram): A Convergence Property-Driven Autonomous Periodic Transients Extraction Approach.

Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms.

Multivariate Phase Space Warping-Based Degradation Tracking and Remaining Useful Life Prediction of Rolling Bearings.

Degradation Tracking of Rolling Bearings Based on Local Polynomial Phase Space Warping.

Optimized QoS Routing in Software-Defined In-Vehicle Networks.

Variable-Bandwidth Self-Convergent Variational Mode Decomposition and its Application to Fault Diagnosis of Rolling Bearing.

Self-Iterated Extracting Wavelet Transform and Its Application to Fault Diagnosis of Rotating Machinery.

YOLO_SRv2: An evolved version of YOLO_SR.

High-Range and High-Linearity 2D Angle Measurement System for a Fast Steering Mirror.

Edge Real-Time Object Detection and DPU-Based Hardware Implementation for Optical Remote Sensing Images.

An Efficient Robot Exploration Method Based on Heuristics Biased Sampling.

Synchro-Reassigned Extracting Transform: An Effective Tool for Rotating Machinery Fault Diagnosis Under Varying Speed Condition.

Galerkin Method for a Backward Problem of Time-Space Fractional Symmetric Diffusion Equation.

Matching Synchroextracting Transform for Mechanical Fault Diagnosis Under Variable-Speed Conditions.

Remaining Useful Life Prediction of Rolling Bearings Based on Segmented Relative Phase Space Warping and Particle Filter.

A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network.

Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition.

Iteration regularization method for a sideways problem of time-fractional diffusion equation.

Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network.

An Inverted Residual based Lightweight Network for Object Detection in Sweeping Robots.

An Improved Camshift Tracking Algorithm Based on LiDAR Sensor.

A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy.

Object Detection for Sweeping Robots in Home Scenes (ODSR-IHS): A Novel Benchmark Dataset.

Complementary Ensemble Adaptive Local Iterative Filtering and Its Application to Rolling Bearing Fault Diagnosis.

A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform.

Baseline-Free Adaptive Crack Localization for Operating Stepped Rotors Based on Multiscale Data Fusion.

Adaptive Bipartite Consensus of Second-Order Multi-Agent Systems With Bounded Disturbances.

Research on Multichannel Signals Fault Diagnosis for Bearing via Generalized Non-Convex Tensor Robust Principal Component Analysis and Tensor Singular Value Kurtosis.

A Novel Fault Feature Recognition Method for Time-Varying Signals and Its Application to Planetary Gearbox Fault Diagnosis under Variable Speed Conditions.

A Novel Demodulation Analysis Technique for Bearing Fault Diagnosis via Energy Separation and Local Low-Rank Matrix Approximation.

An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy.

Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions.

Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition.

Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification.

Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing.

Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.

A Joint Fault Diagnosis Scheme Based on Tensor Nuclear Norm Canonical Polyadic Decomposition and Multi-Scale Permutation Entropy for Gears.

Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy.

Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method.

Full band watermarking in DCT domain with Weibull model.

Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum.

An Energy Efficient Routing Based on Swarm Intelligence for Wireless Sensor Networks.