Well PLAtE

Research on "PLAtE" (depending on the specific context, this could refer to several related areas) encompasses diverse applications involving plate-like structures or data organized in a plate-like format. Current work focuses on tasks such as damage detection in physical plates using deep learning and sensor data, precise robotic manipulation of well plates in laboratory automation, and efficient data extraction from list-structured web pages via neural network models. These efforts aim to improve accuracy, efficiency, and robustness in various domains, ranging from structural health monitoring and industrial automation to web data processing.