Abstract: Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data. However, they face performance degradation in adverse weather.
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Abstract: Monocular 3D object detection (Mono3D) holds noteworthy promise for autonomous driving applications owing to the cost-effectiveness and rich visual context of monocular camera sensors.
This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...
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