Hybrid Approach for Machine Anomaly Detection across Diverse Operating Conditions: Combining Self-Supervised Learning with Vibration Statistics

Multi-domain Vibration Dataset with Various Bearing Types Under Compound Machine Fault Scenarios

FRFconv-TDSNet: Lightweight, Noise-Robust Convolutional Neural Network Leveraging Full-Receptive-Field Convolution and Time Domain Statistics for Intelligent Machine Fault Diagnosis

Urban Noise Analysis and Emergency Detection System using Lightweight End-to-End Convolutional Neural Network

Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis

Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine

Parallel Dislocation Model Implementation for Earthquake Source Parameter Estimation on Multi-Threaded GPU

Search Space Reduction for Determination of Earthquake Source Parameters Using PCA and k-Means Clustering

UMIICA: A Model-Driven Integrated Development Environment for Industrial Control Applications

Guaranteeing Isochronous Control of Networked Motion Control Systems Using Phase Offset Adjustment