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Compliance with the 2025 IPC Classification Code (the Code) and International Standards is crucial in order to achieve the aim of a consistent, structured and effective approach to Classification ...

Abstract: This letter introduces a novel approach for graph classification in the context of sensor network data analysis using machine learning methods. It is based on exploiting both sensor ...

Abstract: Efficient fault classification and localization are crucial for rapid and reliable maintenance in distribution networks (DNs). However, conventional model-based approaches often lack ...

A binary image classification pipeline for detecting phobia (vs. normal) from chest X-ray images using a fine-tuned ResNet-50 in PyTorch. ├── main.py # Model definition, dataset class, transforms, ...

Fine-tuning the library models for token classification task such as Named Entity Recognition (NER), Parts-of-speech tagging (POS) or phrase extraction (CHUNKS). The main scrip run_ner.py leverages ...

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