Noninvasive brain scanning could restore movement after spinal cord injury

An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the ...
ccr-mag

MicroCloud Hologram Unveils Hybrid Quantum-Classical Breakthrough

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network ...
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ...
IEEE

MC-NCLWO: Newton’s Cooling Law-Based Oversampling Algorithm for Multi-Class Imbalanced Datasets With Feature Noise

Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
IEEE

FANet: Joint Spatial–Frequency Domain Framework for Retinal Disease Classification From OCT Images

Abstract: The increasing prevalence of retinal diseases fuels the demand for automated diagnostic technologies. However, the sparsity and multiscale features of retinal optical coherence tomography ...
GitHub

A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This ...

The Convolution Layer: Convolution is an orderly procedure where two sources of information are intertwined; it’s an operation that changes a function into something else. Convolutions have been used ...