The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

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.

Impact Statement: Deep learning has achieved state-of-the-art accuracy for an array of computer vision tasks. However, enabling CNNs on edge—edge AI— poses significant challenges in terms of resource ...

Intelligent systems could be increasingly powerful by applying probabilistic inferences over the dependence relations among observed and latent variables, which could be represented by the Bayesian ...

the segmentation of brain tumor and its classification in the early stage is very important for the purpose of diagnosis and treatment. This work introduces a new deep neural network model Lu-Net with ...

This paper proposes an intermediate solution using artificial intelligence to monitor any potential threat for SME, specifically in Malaysia. The proposed method uses Autoencoder based Deep Neural ...