This is an issue that cannot be ignored and might degrade the performance of algorithms . Noise can come from many sources, such as uncontrollable environmental variables when generating experimental data, measurement errors and other sources. This is also an unavoidable problem for fully automated experimental platforms . For example, there might be imprecision of operations by robots, or handling unstable reagents that are easy to decompose. Noise is common for large-scale manufacturing and may come from fluctuations in raw chemicals or variations in process conditions .