We are thrilled to share that our latest scientific article, "A Composite Loss-Based Autoencoder for Accurate and Scalable Missing Data Imputation,' has been accepted for publication in the prestigious journal, Computers, Materials & Continua. You can read the article here: https://www.techscience.com/cmc/v86n1/64488
