Tag: convolutional neural networks

Evaluating lung adenocarcinoma whole-slide images revealed that mild JPEG2000 compression reduces storage requirements by approximately 90% while maintaining deep learning ...

An image-based epigenetic profiling framework combining high-speed super-resolution microscopy with deep learning accurately classified cellular epigenetic states and uncovered chromatin ...

A hybrid computational model integrating convolutional neural networks, bidirectional recurrent networks, and gradient boosting predicts Indian agricultural crop yields more ...

Researchers integrated a clustering-guided block into convolutional neural networks, reducing concrete crack edge localization error to 2.31 pixels.

Researchers have introduced ResACNet, a lightweight convolutional neural network that fuses multi-feature vibration maps to achieve robust bearing fault diagnosis ...

A study in Frontiers in Neuroinformatics evaluates an attention-enhanced deep learning framework that achieves 93.33% image-level accuracy in distinguishing idiopathic ...

A study in the International Journal of Legal Medicine evaluates deep learning models for estimating dental age and classifying legal ...

Researchers combined classical Islamic biographical criticism with computational algorithms to evaluate Hadith narrator reliability, demonstrating that rule-based systems and machine ...

A systematic review of 163 studies traces the progression of vision transformers and highlights where convolutional networks remain competitive.

A hybrid model combining CNNs and Vision Transformers achieved 99.89% accuracy in detecting pavement distress, offering a more efficient alternative ...