Abstract: Product defect detection (PDD) is a critical industrial Big Data application that leverages social media text mining to identify product defects. However, existing PDD approaches face ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
Abstract: Polyethylene (PE) pipes are vital for residential gas systems, but hole defects at hot-melt joints are prone to lead to pipe failure. Affected by the complex background noise interference at ...
The framework encompasses two principal phases: the offline model training phase and the online anomaly detection phase. During the offline model training phase, we first preprocess the raw MTS. We ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
GPT‑5.3‑Codex, its new coding and development model, is apparently the first “that was instrumental in creating itself.” No, that probably doesn’t mean ChatGPT is ready to build its own Skynet, but it ...
Anthropic is out with a new model called Claude Opus 4.6, an upgrade to its top-of-the-line Opus 4.5 model that launched in November. The new release could add new capabilities to Anthropic’s Claude ...
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