Abstract: Directly learning the swimming behaviors of real fish can significantly enhance the swimming performance of bionic robotic fish. This paper presents a novel transfer learning method based on ...

The proposed algorithm enhances the traditional conventional convolutional neural network (CNN) algorithm by introducing a domain category judgment module and an inter-domain conditional probability ...

Nearly four in 10 adult Americans have tried to transfer credit toward a college degree or credential. Of those, 58 percent lost credits in the process. For some, the consequences were severe: using ...

transGFM: An R package implementing transfer learning for generalized factor models. It supports continuous, count, and binary data, enhancing high-dimensional analysis through auxiliary source ...

Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage ...

ABSTRACT: Douala-Cameroon is a growing city with huge number of cars and motorcycles plying the roads, especially during rush hours. These automobiles emit exhaust gases, leading to atmospheric ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...

Perceptual learning of complex stimulus (such as faces or houses) are shown to be specific to the stimulus, indicating the plasticity of the human high-level visual cortex. However, limited ...