Experiments were executed on NVIDIA A40 of 46068MiB memory in linux with torch==2.1.0+cu121, torch_geometric==2.3.1, torch-sparse==0.6.18+pt21cu121, and torchvision==0.16.0+cu121. The stkan is an ...

Abstract: Fusion-based hyperspectral super-resolution techniques are utilized to increase the spatial resolution of a hyperspectral image (HSI) by fusing it with a high spatial resolution assistive ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

Scientists have identified a new property, interface flexibility, that controls how certain molecules naturally self-organize into crystalline supramolecular networks. This significant discovery could ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...

Thanks for your great work. Recently I'm trying to train the parameter autoencoder (ODEncoder2Decoder class in your module/modules/encoder.py) with my own parameter ...

This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...

Last month, venture capitalist Balaji Srinivasan announced the Network School, a three-month learning retreat marketed to people interested in “network nations,” a kind of utopia for the ...

Abstract: Deploying machine learning (ML)-based network intrusion detection systems has become a mainstream solution to improve the security of network efficiently. However, recent research has shown ...