Pre Processing

Pre-processing, the initial stage of data preparation before analysis, aims to enhance data quality and improve the performance of downstream models. Current research emphasizes the crucial role of pre-processing in diverse fields, including image analysis (e.g., medical imaging, video coding, and satellite imagery), signal processing (e.g., EEG and radar data), and healthcare data analysis, with a focus on optimizing techniques for specific data types and model architectures (e.g., convolutional neural networks, vision transformers, and gradient boosting machines). Effective pre-processing strategies, often tailored to the specific application, are shown to significantly improve model accuracy, efficiency, and fairness, leading to substantial advancements in various scientific and practical applications.