The green synthesis of silica has been extensively explored over the last few decades, as silica compounds found in commercial products can cause negative effects on human health.This calls for alternative ways to produce silica that are safer, cheaper and more environmentally friendly.Some of the agricultural wastes proven to contain silica includ
The study of the phenolic compounds present in olive leaves (Olea europaea) is of great interest here due to their health benefits.In this research, different machine learning algorithms such as RF, SVM, and ANN, with temperature, time, and volume as input variables, were developed to model the extract yield and the total phenolic content (TPC) fro
Solar-induced chlorophyll fluorescence (SIF) has provided novel methods for monitoring vegetation growth and the carbon cycle of terrestrial ecosystems.However, the effects of spatial heterogeneity on canopy SIF measurements remain unclear.The unmanned aerial vehicle (UAV) platform provides a unique opportunity to assess the impact of spatial heter
ObjectivesAnatomical structure classification is necessary task in medical field, but the inevitable variability of interpretation among experts makes reliable classification difficult.This study aims to introduce cluster analysis, unsupervised machine learning method, for classification of three-dimensional (3D) mandibular canal (MC) courses, and
Background.In the process of investigating a criminal offense, knowing the identity of the victim is something that has a very important meaning, namely as an initial step of the investigation that must be made clear before the next steps can be taken in the investigation read more process.Objectives.to prove that the skeleton is a human skeleton,