Abstract: This paper proposes a fault diagnosis method based on an improved residual network (ResNet) for complex chemical processes. The method can automatically and efficiently extract fault ...
So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classification and the hardware implementation of learned ResNet on field programmable gate array ...
This work is implemented based on MOSNet. @article{shen2023non, title={Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM}, author={Shen, Kailai and Yan, Diqun and Ye, Zhe and ...