WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Frontiers

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
IEEE

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...
Deep

Quantum Algorithms on Track to Better Predict Telecom Network Disruption

Having a resilient network is critical for telecom companies. As we all well know, if the network goes down due to equipment failures, natural or manmade disasters, or other issues, customers are ...
IEEE

Classification of Fiber Optics Anomalies Using Transforms Ensemble, Adaptive Smoothing Based on the Standardized Variable Distances Learning Algorithm and Convolutional Neural ...

Abstract: Convolutional neural networks (CNN) have been applied to the classification of different types of anomalies in optical networks. On the other side, the more challenging problem of the ...