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

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 ...
IEEE

DAS-Based Perimeter Intrusion Detection Using 2D-CNN With SKAttention Mechanism

Abstract: Distributed fiber optic sensing technology has been extensively applied in the field of perimeter security. The distributed acoustic sensing (DAS) system driven by a deep learning ...
IEEE

Enhanced EEG Image Classification Using ESRGAN and Decision Tree for Early Diagnosis of Neurological Disorders

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 ...
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 ...
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

Automatic Modulation Classification Based on High-order Cumulants Using Complex-valued Neural Networks

Abstract: A novel automatic modulation classification (AMC) method is proposed based on high-order cumulants (HOC) via complex-valued neural networks. Benefited from the insensitiveness of HOC to ...
IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

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 ...
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 ...
IEEE

Exploring Optimization Dynamics: Hybrid Approaches Combining Adaptive and Traditional Techniques for Deep Learning Models

Abstract: Optimizers are essential in deep learning to minimize error functions and ensure efficient learning. This paper evaluates the performance of prominent ...
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 ...
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 ...