Abstract: The scarcity of fault samples severely limits the performance of traditional fault diagnosis methods under small samples. To address this issue, this article proposes a multipath Siamese ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

This project contains the Python implementation used to train, validate, and test the proposed lightweight hybrid Siamese neural network on a personal computer. The trained models can be exported to ...

Once, discreet circuit elements, called components, were heaped up on boards inside steel cages using wire-lead technology in just five short years. Fast forward to today, and your computer CPU fits ...

Department of Chemistry, New York University, New York, New York 10003, United States Department of Chemistry, New York University, New York, New York 10003, United States Simons Center for ...

This thesis presents a new IoT-focused attack dataset and a Siamese neural network IDS designed for IoT networks. The model, benchmarked against TON_IoT, demonstrated high reliability in detecting ...

VentureBeat recently sat down (virtually) with Shlomo Kramer, co-founder and CEO of Cato Networks, to gain insights into his vision for the future of cybersecurity. His company is quickly trying to ...