Abstract: Transfer learning has emerged as a powerful technique in machine learning, wherein knowledge acquired from one task or dataset is leveraged to improve performance on related tasks and ...
Abstract: Deep learning has significantly advanced image analysis across diverse domains but often depends on large, annotated datasets for success. Transfer learning addresses this challenge by ...
ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...
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