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: With the widespread use of Internet services, the risk of cyber attacks has increased significantly. Existing anomaly-based network intrusion detection systems suffer from slow processing ...

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 ...

Abstract: There is a global dependence on medicinal plants for the treatment of diverse health conditions, particularly in developing countries, where government medical facilities are inadequate.

Researchers from Washington and Puerto Rico found that an AI recycling system that pairs spectroscopy with deep learning ...

"Interim" President of Venezuela Delcy Rodríguez is walking a delicate line, pretending to oppose Trump while giving him ...

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...