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Found 6 papers, 1 papers with code
Convolutional module for heart localization and segmentation in MRI
Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function.
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
We designed our model based on Deep Deterministic Policy Gradient, local view maker, and planner.
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades.
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Time-series forecasting is one of the most active research topics in artificial intelligence.
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade.
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Our results demonstrate significant improvements in automated medical prognosis, as measured with Recall@k. We summarize our experience as a set of relevant insights for the design of Deep Learning architectures.
