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Found 5 papers, 1 papers with code
Comparison of gait phase detection using traditional machine learning and deep learning techniques
The results show up to 75% average accuracy for traditional ML models and 79% for Deep Learning (DL) model.
Machine Learning Meets Advanced Robotic Manipulation
Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources.
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak.
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Recent advancements in Artificial intelligence, especially deep learning, has changed many fields irreversibly by introducing state of the art methods for automation.
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data
We have evaluated the performance of our proposed framework on the task of vehicle detection from a bird's eye view (BEV) point cloud images coming from real 3D LiDAR sensors.
Ranked #2 on
Unsupervised Domain Adaptation
on PreSIL to KITTI
