The aim flip flops of this work was to develop a process for the removal of Sn, Sb and As from anode slime out of copper refinery to disburden a subsequent pyrometallurgical processing for precious metals refinement.For this reason, a detailed literature survey was conducted, followed by a characterization to find the present compounds/alloys and t
Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning
Abstract Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction.While current studies have primarily focused on detecting and counting crop plants during the early stages of low coverage, there is limited investigation into the later stages of high coverage, which coul
RTNN: A Neural Network-Based In-Loop Filter in VVC Using Resblock and Transformer
Recently, the neural network (NN)-based in-loop Wax Bars filters are actively explored and being attempted to integrate in the versatile video coding (VVC).Transformer shows better global feature processing capability than convolutional neural network (CNN), which is complimentary to CNN that has advantage of local feature extraction.Since the in-l
Development of an Endoscopic Auto-Fluorescent Sensing Device to Aid in the Detection of Breast Cancer and Inform Photodynamic Therapy
Breast cancer is the most diagnosed cancer type in women, with it being the second most deadly cancer in terms of total yearly mortality.Due to the prevalence of this disease, better methods are needed for both detection and treatment.Reduced nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) are autofluorescent biomarke