Justifiably, while big data is the primary interest of research and public discourse, it is
essential to acknowledge that small data remains prevalent. The same technological and …

Machine learning, as a significant branch of artificial intelligence, has provided effective
guidance for material design by establishing virtual map**s between data and desired …

Using deep learning approaches to identify and locate defects in composite structures made
of Carbon Fiber Reinforced Plastics (CFRP) is becoming increasingly popular. However …

Data-driven methods such as reinforcement and imitation learning have achieved
remarkable success in robot autonomy. However, their data-centric nature still hinders them …

Object detection is a fundamental task in computer vision that involves accurately locating
and classifying objects within images or video frames. In remote sensing, this task is …

Few-shot action recognition aims to address the high cost and impracticality of manually
labeling complex and variable video data in action recognition. It requires accurately …

The emerging integration of Internet of Things (IoT) and AI has unlocked numerous
opportunities for innovation across diverse industries. However, growing privacy concerns …

Traditional radar target detectors, which are model-driven, often suffer remarkable
performance degradation in complex clutter environments due to the weakness in modeling …

Lung screening is really crucial in the early detection and management of masses, with
particular regard to cancer. Studies have shown that lung cancer screening, can reduce lung …

Multimodal learning is a promising area in artificial intelligence (AI) that can make the model
understand different kinds of data. Existing works are trying to re-train a new model based …