The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Reliable Open-Set Network Traffic Classification

Abstract: The widespread use of modern network communications necessitates effective resource control and management in TCP/IP networks. However, most existing network traffic classification methods ...
IEEE

Enhancing IIoT Security Using Hybrid CNN-BiLSTM Models with Blockchain Integration

Abstract: In the rapidly evolving Industrial Internet of Things (IIoT) landscape, ensuring robust security measures for detecting and mitigating cyber threats is paramount. This paper suggests a ...
AZoOptics on MSN

Photonic Quantum CNN Achieves High Accuracy With Adaptive Light Control

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability ...

Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Tech Xplore

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...