Nonlinear equations systems (NESs) arise in a wide range of domains.Solving NESs requires the algorithm to locate multiple roots simultaneously.To deal with NESs efficiently, this study presents an Coffee Grinders enhanced reinforcement learning based differential evolution with the following major characteristics: (1) the design of state function
We address an important and practical problem facing deep-learning-based image classification: class incremental learning with a large domain shift.Most previous efforts on class Fry Pans incremental learning focus on one aspect of the problem, i.e., learning to classify additional new classes (with a little shift).However, in the real world, when
Airborne historical images orthorectification for Bridle and breastplate. mountain regions environmental dynamics studies Often the recovery of historical data from aerial photographs involves problems (poor quality of the frames and total lack of metadata about the frame camera).The problem can be better handled by adopting modern techniques of di
Abstract Background Colorectal cancer (CRC) is one common tumor with the high death rate, and badly affects the normal lives of CRC patients.Amarogentin (AG) has been found to exhibit regulatory roles and join into the progression of multiple diseases.However, the regulatory impacts and associated molecular mechanisms of AG in CRC progression keep