WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Abstract: Deep Neural Networks (DNNs), which play a significant role in a wide range of both civilian and military applications, are often regarded as "black-boxes" due to their opaque decision-making ...

Abstract: Various lesions in different body parts have different sizes and, in particular, different representations, which leads to great challenges for medical image classification tasks. To avoid ...

There is an increase in families visiting psychiatrists with children showing symptoms of irritability, school withdrawal, ...

Abstract: Neurological disorder diagnosis from EEG signals is hindered by low data resolution and limitations in feature extraction. In this work, the use of Enhanced Super-Resolution Generative ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...

Given President Trump’s habitual insistence that he’s a victim — of partisan prosecutors, incompetent pollsters, the Federal Reserve, Norway — it’s a tribute to him that Republicans are identifying ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Abstract: The increasing use of artificial intelligence-generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision ...

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...