Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Frontiers

A Hybrid Metaheuristic Algorithm with Machine Learning for Detecting Denial-of-Service Attacks in Wireless Sensor Networks

The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...

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

Optimal Secure Control for Cyber-Physical Systems Under False Data Injection Attacks via Incremental Iterative Q-Learning Algorithm

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
IEEE

Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection [Research Frontier]

Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...