Tuberculosis disease diagnosis based on an optimized machine learning model

O Hrizi, K Gasmi, I Ben Ltaifa… - Journal of …, 2022 - Wiley Online Library
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …

Virtual Hippocampus: A Model for Augmenting the Learning Capability of Avatar in Virtual Environments

A Alzahrani - 2024 4th International Conference on Computer …, 2024 - ieeexplore.ieee.org
The part of human brain; hippocampus, performs a critical role in the formation of memory
about the objects and places traced during real-world navigation. In a Virtual Reality (VR) …

A novel approach for solving the fully fuzzy bi-level linear programming problems

H Aghapour, E Osgooei - Journal of Industrial and Systems Engineering, 2022 - jise.ir
Bi-level linear programming (BLP) is a problem with two decision makers and two levels: the
Leader in the upper and the Follower in the lower levels. Decision on one level affects the …

Double attention Res-U-Net-based Deep Neural Network Model for Automatic Detection of Tuberculosis in Human Lungs

M Balamurugan, R Balamurugan - International Journal of Image …, 2024 - World Scientific
Tuberculosis (TB) stands as the leading cause of death and a significant threat to humanity
in the contemporary world. Early detection of TB is crucial for precise identification and …

RUN: rational ubiquitous navigation, a model for automated navigation and searching in virtual environments

M Raees, S Ullah - Virtual Reality, 2021 - Springer
By now, the realm of virtual reality is abuzz with high-quality visuals, enough to simulate a
real-world scene. The use of intelligence in virtual reality systems, however, is a milestone …

Using Color Thresholding and Contouring to Understand Coral Reef Biodiversity

SV Tran - 2020 - scholarworks.sjsu.edu
This paper presents research outcomes of understanding coral reef biodiversity through the
usage of various computer vision applications and techniques. It aims to help further analyze …

[PDF][PDF] Research Article Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model

O Hrizi, K Gasmi, IB Ltaifa, H Alshammari, H Karamti… - 2022 - academia.edu
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …

Meta-heuristic algorithms based multi-level thresholding

B Küçükuğurlu, E Gedıklı - 2019 27th Signal Processing and …, 2019 - ieeexplore.ieee.org
Thresholding is a very important stage in computer vision applications. An ideal single
thresholding algorithm is not available for all environments. Multi-level thresholding in …