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Few-Shot Lightweight SqueezeNet Architecture by en.maryamvazifehdan is a document available to read on EtoBox.
What is Few-Shot Lightweight SqueezeNet Architecture about?
This research presents a few-shot lightweight SqueezeNet architecture for diagnosing induction motor faults using limited thermal image datasets. The proposed model utilizes a prototypical network and achieves 98% accuracy with significantly fewer trainable parameters than traditional models, making it suitable for real-time applications on low-powered devices. This innovative approach addresses the challenges of data scarcity in industrial settings, enhancing fault diagnosis efficiency and reducing relianc
- Author
- en.maryamvazifehdan
- Language
- EN