Semantically Guided Efficient Attention Transformer for Face Super-Resolution Tasks
Face super-resolution generates high-resolution face images from low-resolution inputs, supporting face recognition in challenging environments. While deep learning methods, like Stable Diffusion and origin Transformer-based framework, have advanced ...
Semantic Web-Driven Hybrid Adaptive Control System for Trajectory Tracking in Robotic Arms
In modern industrial production, trajectory tracking control of multi-degree-of-freedom robotic arms entails safety and efficiency. This study focuses on a two-degree-of-freedom manipulator, developing a mechanical dynamics model and implementing a ...
Condition Identification of Calcining Kiln Based on Fusion Machine Learning and Semantic Web
The static control limits restrict self-healing capabilities and decision-making processes, impeding adaptability to the dynamic shifts in intricate industrial operations, frequently leading to suboptimal or anomalous conditions that undermine production ...
Semantic-Aware Hybrid Deep Learning Model for Brain Tumor Detection and Classification Using Adaptive Feature Extraction and Mask-RCNN
A brain tumor is one of the most prevalent causes of cancer death. The best strategy is the timely treatment of brain tumors in their early detection. Magnetic Resonance Imaging (MRI) is a standard non-invasive method to detect brain tumors. For early ...
Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications
With the growth of web technology, the semantic web offers a promising framework for online knowledge collaboration. However, trust issues can undermine users' willingness to collaborate, reduce the frequency of interaction and collaboration efficiency. ...