This paper targets developing a Deep learning (DL) method for classifying encrypted traffic by utilizing FlowPics, which are visual representations of network traffic data. We leverage Convolutional ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

To this end, to address the inflexibility of neural network architecture and the scarcity of training data, we propose a model-agnostic meta-learning based neural network-assisted Kalman filter in ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.