WIDE & DEEP LEARNING FOR PREDICTING RELATIVE MINERAL COMPOSITIONS OF SEDIMENT CORES SOLELY BASED ON XRF SCANS, A CASE STUDY FROM PLEISTOCENE PALEOLAKE OLDUVAI, TANZANIA

This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake Cutting Board 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 publi

Droplet capture and release are very significant for droplet manipulation on a superhydrophobic surface.Once the aqueous droplets impact the stiff superhydrophobic surface, they VIRAFECT easily detach from the surface and generate chaotic motion without much energy loss.Thus, it is difficult to catch and manipulate the droplets falling on these kin

This research aims to investigate the accuracy of 3D scanner by conducting a comparative analysis of AI-based photogrammetry method and Agisoft Metashape software, a more affordable and accessible approach compared to expensive commercial solutions.The proposed method uses photogrammetry and CAD (Computer-Aided Design) to measure propeller blade ge