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 ...
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New analysis suggests puzzling fossil may have been an unknown life-form

Some 400 million years ago, long before dinosaurs or even trees had evolved, an enigmatic organism towered over the landscape ...
Channel 3000

Whistleblower complaint centers on sharing of classified intelligence and reporting of a potential crime, watchdog says

A complaint filed last year by a US intelligence community whistleblower that is now being scrutinized by lawmakers includes ...
IEEE

A Novel Alzheimer’s Disease Classification Framework Integrating 3D CNN With Bidirectional Feature Pyramid Network and Vision Transformers

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that severely affects memory and cognitive function, underscoring the need for accurate and early diagnostic tools. Deep ...
European Medical Journal

Lightweight Neural Networks Improve Lung Cancer Diagnosis

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

CNN-LSTM Hybrid Framework for Deep Learning-Based Stress-Aware Arrhythmia Classification on ECG Data

Abstract: A major difficulty in proactive cardiac care is addressed in this research by proposing a CNN-LSTM hybrid framework for identifying and categorizing stress-induced arrhythmias from ECG data.
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

Classification of Shockwave and Muzzle Blast Signatures Using CNN Models

Abstract: In today's world, security is essential due to the increasing cyber-physical threats we face. However, there is currently a limited amount of research on detecting physical threats such as ...
IEEE

White Blood Cell Segmentation and Classification Using CNN-Based Unified Feature Learning with Peripheral Blood Cell Images

Abstract: The accurate segmentation and classification of white blood cells (WBCs) is of utmost importance in diagnosing and monitoring different hematological disorders. In this paper, we present a ...
IEEE

Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification

Abstract: Despite significant advances in deep learning-based sleep stage classification, the clinical adoption of automatic classification models remains slow. One key challenge is the lack of ...