BIOENGINEER

Attention-Guided Deep Learning Keeps Apple Sugar Models Accurate Across Harvest Years

A feature attention mechanism embedded in a deep network restored apple sugar-prediction accuracy across three harvest years ...
BIOENGINEER

Deep Learning Model Automates Metabolic Tumor Volume Segmentation in Hodgkin Lymphoma

Researchers validated a disease-specific deep learning architecture that accurately automates metabolic tumor volume segmentation in Hodgkin lymphoma positron-emission tomography scans.

Chapi's Deep Learning Lecture Room | Part 20: How Does AI Learn as a Single Model? — Connecting the Techniques Learned Over 20 Sessions

Natsume: I will be the one explaining today.Over the past 19 sessions, we have learned various mechanisms that support deep ...
GitHub

Deep Learning Framework for Precision Agriculture using Images from Unmanned Vehicles

Contribute to bharathyadav2004/Precision-Agriculture-Using-Deep-Learning development by creating an account on GitHub.
GitHub

Model Zoos of machine and deep learning technologies

GitHub is where people build software. More than 225 million people use GitHub to discover, fork, and contribute to over 800 million projects.
2 Minute Medicine

Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography

Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography ...
Rare Disease Advisor

Deep Learning Model Improves Mortality Risk Prediction in SCD

A multi-task deep learning tool demonstrates improved mortality risk prediction in patients with SCD, outperforming prior ...
Research Matters

Deep learning model to precisely detect lung infections

Understanding lung infections such as pneumonia and tuberculosis requires expert analysis of chest CT scans. Catching these ...
AZoMining

Deep Learning Model Achieves 0.9915 R² in Mining Drill-String Forecasting

Researchers develop an AI forecasting network that predicts drill-string operating conditions one second ahead, offering potential for improved mining equipment monitoring.