Brick Wall

Research on "brick walls," in its broadest sense, encompasses diverse applications leveraging wall-like structures or their properties. Current investigations focus on improving wall-related technologies, such as developing robotic systems for efficient high-rise building maintenance and exploring novel gait recognition methods using radio frequency signals that penetrate walls. These efforts utilize various machine learning models, including convolutional neural networks and deep learning architectures, to enhance accuracy and robustness. The significance lies in improving safety, efficiency, and security across construction, surveillance, and other fields, while also addressing vulnerabilities in existing systems.