In this study, ensemble learning based image classification method is proposed by using both features extracted by means of pre-trained convolutional neural networks (CNN) and hand-crafted. Recently, ...

Modality corresponding to medical images is a vital filter in medical image retrieval systems, as radiologists or physicians are interested in only one of radiology images e.g CT scan, MRI, X-ray.

The researchers used an AI convolutional neural network (CNN) deep learning algorithm to learn to classify the gestures. “On a single-trial basis, we found an average of 85.56% classification ...

Image-Classification-Using-SVM, CNN and NN model This project was developed as part of my coursework to explore machine learning and deep learning techniques for image classification tasks using the ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Automated Intent Classification Using Deep Learning (Part 2) Discover how to build an automated intent classification model by leveraging pre-training data using a BERT encoder, BigQuery, and ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

Machine learning decodes hand gestures from noninvasive brain images, giving hope to a new type of brain-computer interface to help the paralyzed.