Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...
Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...
The Trump administration’s move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...
This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
Power Solutions International is deeply undervalued despite robust earnings growth and a strategic pivot toward high-margin data center power systems. PSIX trades at 14x 2025 earnings, a steep ...
SpaceX's planned IPO expected to develop space AI data centre buildout China's plans for space tourism signal a shift in space ambitions China's new spaceflight academy aims to foster talent for deep ...
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