The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common internal map of the world. Vision models, language models and agents trained in ...
Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder ...
Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
Abstract: This study presents a deep learning (DL)-based approach to the seismic velocity inversion problem, focusing on both noisy and noiseless training datasets of varying sizes. Our seismic ...
1 Department of Internal Medicine/Casualty, Khalifa Gull Nawaz Teaching Hospital, Bannu, Pakistan. 2 Department of Statistics, Federal College of Animal Health and Production Technology, Ibadan, ...