Tag: transfer learning

A benchmark of five transfer learning models on 8,000 field-collected grape leaf images showed top test accuracy reached only 61.2 ...

Researchers have introduced a layer-by-layer discriminative transfer learning method that enhances cross-domain diagnostic accuracy for rotating machinery bearing faults under ...

A cognitive load framework combining technical and non-technical skills ranked 190 programmers into five proficiency levels, with fine-tuned CatBoost transfer ...

Researchers developed a hybrid machine learning pipeline using transfer-learned CT features to accurately predict postoperative pulmonary function without requiring baseline ...

An ensemble of 100 LSTM networks trained on physically based groundwater simulations shows that ensemble spread strongly tracks RMSE and ...

Researchers propose a reinforcement learning method that automatically selects which layers of a pretrained neural network to fine-tune for medical ...

A systematic benchmark reveals that biologically structured module representations offer feature stability across breast cancer datasets without consistently outperforming gene-level ...

A lightweight MobileNet V2 deep learning model detected pediatric pulmonary infiltrates with 90 percent accuracy and 95 percent sensitivity while ...

A lightweight MobileNet model achieved 95.76 percent accuracy in identifying tomato leaf diseases across ten classes, offering an efficient diagnostic ...

An empirical evaluation of ten convolutional neural network architectures across three imaging modalities reveals that ImageNet pretraining gains do not ...