IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Deep Learning (DL) has emerged as a transformative approach in artificial intelligence, demonstrating remarkable capabilities in solving complex problems once considered unattainable. Its ability to ...
IEEE

Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound Imaging

Abstract: Sparse arrays offer a promising solution for reducing the data volume required to reconstruct ultrasound images, making them well-suited for portable and wireless devices. However, the ...
GitHub

SARMAE: Masked Autoencoder for SAR Representation Learning

Synthetic Aperture Radar (SAR) imagery plays a critical role in all-weather, day-and-night remote sensing applications. However, existing SAR-oriented deep learning is constrained by data scarcity, ...
blockchain

Understanding Neural Networks Through Sparse Circuits: OpenAI's Breakthrough in Interpretable AI Models

According to Sam Altman on Twitter, OpenAI has shared insights on understanding neural networks through sparse circuits, offering a practical approach to improve ...
Frontiers

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

1 College of Information Engineering, Henan University of Science and Technology, Luoyang, China 2 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

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 ...
Frontiers

Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation

Introduction: Accurate wheat yield estimation is crucial for efficient crop management. This study introduces the Spatio–Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning ...
Game Rant

Everything Revealed for Valheim’s Deep North Biome and 1.0 Update So Far

Anthony Bussing (he/him) is a Gaming Features Writer from Michigan. Anthony has a Bachelor of Arts degree in English, with a minor in Journalism, achieved in 2022, from Adrian College, specifically to ...