Abstract: Fault diagnosis of complex industrial processes becomes challenging due to temporal and spatial dependencies in process data. This means that the emergence and evolution of faults are ...
These metrics should be used as conversation starters and indicators, not as absolute measures of performance. They are most valuable when: Used to identify trends over time Combined with qualitative ...
Abstract: To improve the reliability and interpretability of industrial process monitoring, this article proposes a causal graph spatial–temporal autoencoder (CGSTAE). The network architecture of ...
A comprehensive toolkit for finetuning the Qwen2.5-VL (Visual Language) model using LoRA. This project provides easy-to-use scripts for Supervised Fine-Tuning (SFT), LoRA merging, and inference. A ...
The Revenue Mobilisation Allocation and Fiscal Commission (RMAFC) has commenced the process of settling long-standing dispute trailing states that own oil wells and gas, and the conflict over 13 per ...
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