Indoor localization has long been a challenging task due to the complexity and dynamism of indoor environments.This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM.Firstly, a dynamic feature filtering based on u
Background and Aim: Nowadays heart disease is very common and is a major cause of mortality.Proper and early diagnosis of this disease is very important.Diagnostic methods and treatments of the disease are so expensive and have many side effects.Therefore, researchers are looking for cheaper ways to diagnose it with high precision.This study aimed
Ejectors offer a cost-effective and practical solution for recovering flare gases, thereby reducing greenhouse gases.Improving the entrainment rate of the secondary fluid can enhance ejector performance.The objective of this research is to identify the optimal ejector geometry to maximize the absorption rate of the secondary fluid.Computational flu
This study provides an experimental performance evaluation on population-based queries of NoSQL databases storing archetype-based Electronic Health Record (EHR) data.There are few published studies regarding the performance of persistence mechanisms for systems that use multilevel modelling approaches, especially when the focus is on population-bas