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 ...

Credit Card Fraud Detection with MLP Neural Network This project focuses on detecting credit card fraud using a Multi-Layer Perceptron (MLP) neural network built with Keras. The model is trained on a ...

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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.

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 ...