WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

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 ...
European Medical Journal

Lightweight Neural Networks Improve Lung Cancer Diagnosis

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

Enhancing Lung Cancer Classification Using CNN and SVM Methods

As one of the most common and deadly types of cancer in the world, lung cancer continues to pose a serious threat to both healthcare systems and researchers. The prognosis of lung cancer patients ...
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CNN’s Jake Tapper looks at criticism of some Trump admin memes and images

CNN’s Jake Tapper reports. Why 7 GOP senators voted against bill to keep government open past Friday Weight-loss drugs draw thousands of lawsuits alleging serious harm Rob Schneider's wife files for ...
IEEE

Lightweight CNN-SVM Based Hybrid Model for Tongue Image Classification

Abstract: Tongue diagnosis is a cornerstone of traditional Chinese medicine (TCM) due to its simplicity and significant diagnostic value, making it a widely used tool in clinical practice. The color, ...
Digital Trends

You can now use Gemini’s Thinking model without worrying about Pro model limits

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

SwinCNN+OE: A Swin Transformer and CNN Architecture for Breast Histopathology Classification with OOD and Grad-CAM Integration

Abstract: This study aimed to design and evaluate a fusion deep learning architecture (SwinCNN + OE) for robust and interpretable breast cancer classification using histopathological images. The ...