The proliferation of open-source and proprietary software has revolutionized development, enabling rapid innovation and ...

CNN-based adversarial machine learning models are proposed to drive the innovation of anomaly detection techniques under Industry 5.0. However, the generalization inherent in the model is inadequate ...

In recent years, autoencoders and their variants have emerged as effective tools for hyperspectral anomaly detection. Nevertheless, owing to the complex distribution of anomalous regions and the ...

In this study, chemically polymerized luminol-hydrogen-bonded organic framework (CpL-HOF) is used as the efficient luminophore and POMs@MOFs as the quencher to construct the electrochemiluminescence ...

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.