Tag: convolutional neural networks

Researchers at the University of Malta and the University of Pittsburgh trained a modified U-Net on 95,000 synthetic microscopy images ...

Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...

A PRISMA-compliant systematic review of 48 deep learning studies finds that only 27 percent of diabetic foot ulcer AI systems ...

Researchers have developed SkinEnsemNet, an ensemble deep learning framework combining VGG16, DenseNet201, and EfficientNetB0 that achieves up to 98.85 percent ...

A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...

Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...

A systematic review of 108 studies charts how machine learning transformed bioacoustics over two decades, finding that deep learning now ...

Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain ...

Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered ...

In the rapidly evolving landscape of neurodegenerative disease research, a groundbreaking study published in npj Parkinson’s Disease details the development ...

In a groundbreaking study published in BMC Genomics, researchers Mohammed Shujaat and S. Q. Mao presented an innovative approach to ...

In a groundbreaking study, researchers have successfully applied advanced deep learning techniques to classify the morphological variations of the mandibular ...

In a groundbreaking advancement for oncological imaging, researchers have unveiled a sophisticated deep learning radiomics model leveraging MRI technology to ...

In a groundbreaking advance poised to transform diagnostic radiology, researchers have harnessed the power of convolutional neural networks (CNNs) to ...