Abstract: Vibration signals are generally utilized for machinery fault diagnosis to perform timely maintenance and then reduce losses. Thus, the feature extraction on one-dimensional vibration signals ...

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...

ABSTRACT: Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective ...

Abstract: This paper presents a deep learning-based pansharpening method for fusion of panchromatic and multispectral images in remote sensing applications. This method can be categorized as a ...

Generative AI is an Artificial Intelligence system that can generate new content such as text, code, images, music, videos, audio, and more. Nearly all Generative AI models are transformer-based. From ...

The examples/ directory contains some python scripts that illustrate common use cases of this codec. These tasks involve encoding and decoding one or more images using the CAE-codec, and a downstream ...

Spatially resolved transcriptomics (SRT) technologies, such as spatial transcriptomics (ST) (Ståhl et al., 2016), 10x Visium, and Slide-seqV2 (Stickels et al., 2021), can measure the transcript ...

GCA-ROM requires pytorch, pyg, matplotlib, scipy and h5py. They can be easily installed via pip or conda. In the notebook folder, one can find the *.ipynb files ...

Automatic detection and alarm of abnormal electrocardiogram (ECG) events play an important role in an ECG monitor system; however, popular classification models based on supervised learning fail to ...