Tag: Transfer Learning

A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic accuracy in detecting COVID-19 from ...

A compact residual network called MSERNet removes JPEG compression artifacts from ovarian and carotid ultrasound images while preserving tissue textures ...

Researchers report that a transfer learning framework called TL-CDVD reached an average accuracy of 88.8 percent and an F1-score of ...

A feature attention mechanism embedded in a deep network restored apple sugar-prediction accuracy across three harvest years using only a ...

A fully convolutional network with layer-wise fine-tuning classifies malware families with over 99% accuracy across three datasets and processes obfuscated ...

A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out test set ...

A systematic review of 46 studies finds deep learning promising for post-earthquake structural damage assessment, but weak generalisation evidence and ...

A systematic comparison of nine CNN architectures on label-free multimodal microscopy images of colonic tissue found ResNet50 with partial fine-tuning ...

A transfer learning framework classified neonatal seizures from EEG topographic maps, with ResNet-18 reaching 97.1 percent subject-wise accuracy on unseen ...

A hybrid SEIR-N-BEATS framework achieved 1.03% MAPE and 19.1% error reduction over mechanistic baselines in cross-regional epidemic forecasting under distribution ...

A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...

A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...

A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...

A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...

A transfer-learning framework using Inception-V3 with SGDM and Nesterov Accelerated Gradient classified five diabetic retinopathy severity classes on the APTOS ...

A dual-channel AI framework that fuses raw byte textures with statistical flow features achieved 98.74 percent accuracy on real urban ...

A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...

UniLoopNet predicts enhancer–promoter, enhancer–enhancer, CTCF-mediated, and stripe-associated chromatin interactions from DNA sequence using a multi-task deep learning framework.

Pretrained convolutional neural networks classified biological sex from smartphone photographs of palatal rugae with up to 77 percent accuracy in ...

A customized VGG19 deep learning model trained on 2,100 chest X-rays from Ethiopian hospitals classified pneumonia and tuberculosis with 99% ...