This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X-ray diffraction (XRD) mineralogical results from the same core taken at coarser resolution.It uses the XRF core scan data along with published mineralog
Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment
The centralized Kalman filter is always applied in the velocity and attitude matching of Transfer Alignment (TA).But the centralized Kalman has many disadvantages, such as large amount of calculation, poor real-time performance, Sundials and low reliability.In the paper, the federal Kalman filter (FKF) based on neural networks is used in the veloci
Ezumezu Logical System as a Sceptical Trend in Contemporary African Philosophy
My aim in this paper is to tease out the sceptical dimension of Ezumezu logic, which Dishwasher Sump Hose is the logic that grounds the method of conversational thinking.I engage with the question of the place of scepticism in African philosophy and show that Ezumezu logic is a sceptical trend in contemporary African philosophy.I argue that the nat