Online sequential extreme learning machine (OS-ELM) and its variants provide a promising way to solve data stream problems. but most of them do not take the timeliness of the problems into account. which may degrade the performance of the model. The main reason is that these algorithms are unable to adapt to the latest data accordingly when the distribution of the data stream changes. https://macorners.shop/product-category/custom-shaped-acrylic-ornament/