Finally, fault classification is carried out using the C4.5 decision tree. Results demonstrate that the adaptive SSD-TET algorithm effectively extracts transient features of rolling bearing faults, ...

This repository provides a complete workflow—from data preparation and model training to line detection and result visualization—tailored for monitoring forest clearings under power lines.

SSD has a poor detection effect on small objects. The first reasons is its insufficient feature extraction for small objects. To solve this problem, a feature enhancement module is proposed to make ...

Key Innovations in Arweave 2.9: New Data Activation Algorithm: This innovative algorithm replaces the previous packing method, significantly lowering the computational requirements for honest miners.