Abstract: Through deep learning Autoencoder Decoders, it is possible to clean noisy or damaged image data received from satellites. Two models with a PSNR of 25.6 dB and 25.54 dB were generated using ...

After training on pathologists’ slide-reviewing data, the PEAN model is capable of performing a multiclassification task and imitating the pathologists’ slide-reviewing behaviors (see Panel a). The ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

In this video, we explore the process of creating a modern train table, showcasing various woodworking tools and techniques. Featured tools include: - Router Table with X1 Fence - Rocky 30 Trim Router ...

Department of Biomedical Engineering, Institute for Complex Molecular System (ICMS) and Eindhoven AI Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven 5612 AZ, Netherlands ...

Most AI providers try to enhance their products by training them with both public information and user data. However, the latter method puts a privacy-conscious company like Apple in a difficult ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

i've read your comments about VQGAN autoencoder but i cant find the training code about vqgan. Could you tell me the code? beacause my dataset is not going well on former vqgan. please let me know ...

Introduction: Glaucoma, optic neuritis (ON), and non-arteritic anterior ischemic optic neuropathy (NAION) produce distinct patterns of retinal ganglion cell (RGC) damage. We propose a booster ...