Abstract: This paper aims to design and analyze an image compression technique using an autoencoder-based deep learning model. Traditional image compression methods, such as JPEG and PNG, rely on ...
Abstract: The fast growth of telemedicine and remote di-agnostics, methods that ensure the security and effectiveness of medical image transmission, are quite needed. Even though patient data privacy ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing ...
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