We then propose a new architecture of multimodal emotion and sentiment modeling for big data. The proposed architecture consists of five essential modules: data collection module, multimodal data ...

for land-cover classification based on hyperspectral image (HSI) and synthetic aperture radar (SAR)/light detection and ranging (LiDAR) data. Specifically, we first design a frequency interaction ...

This project is a multimodal emotion detection system that uses both facial images and speech audio to identify human emotions. It combines state-of-the-art deep learning models for facial expression ...

Human action detection involves detecting and classifying human actions or activities in videos or image sequences. This project utilizes YOLOv8, an efficient and accurate object detection model, to ...

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