Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques

C Mahanty, SGK Patro, S Rathor, V Rachapudi… - Scientific Reports, 2024 - nature.com
Coronavirus has long been considered a global epidemic. It caused the deaths of nearly
7.01 million individuals and caused an economic downturn. The number of verified …

An Improved Adaptive neuro-fuzzy inference framework for lung cancer detection and prediction on Internet of Medical Things platform

SLJ Shabu, J Refonaa, S Mallik, D Dhamodaran… - International Journal of …, 2024 - Springer
It has become increasingly difficult for medical practitioners to recognize illness in recent
years due to the emergence of new diseases from their myriad causes on a daily basis. Due …

Fusing clinical and image data for detecting the severity level of hospitalized symptomatic COVID-19 patients using hierarchical model

MM Ershadi, ZR Rise - Research on Biomedical Engineering, 2023 - Springer
Purpose Based on medical reports, it is hard to find levels of different hospitalized
symptomatic COVID-19 patients according to their features in a short time. Besides, there …

Uncertain SEIAR system dynamics modeling for improved community health management of respiratory virus diseases: A COVID-19 case study

MM Ershadi, ZR Rise - Heliyon, 2024 - cell.com
The study investigates the significance of employing advanced systemic models in
community health management, with a focus on COVID-19 as a respiratory virus. Through …

Multi-layered InterCriteria analysis as a digital tool for studying the dependencies of some key indicators of mortality during the pandemic in the European union

V Traneva, S Tranev - Intelligent Systems in Digital Transformation: Theory …, 2022 - Springer
Intelligence healthcare expert systems (HCISs) assist decision-makers diagnose accurately
and treat patients' diseases. In a pandemic, they can also, by identifying the causes of higher …

ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations

S Sotudian, IC Paschalidis - Computers in Biology and Medicine, 2024 - Elsevier
Personalized drug response prediction is an approach for tailoring effective therapeutic
strategies for patients based on their tumors' genomic characterization. While machine …

Exploring Successful US Department of Defense Small Business Innovation Research Program Outcomes and Corresponding Public Sector Commercialization …

SM Rovito - 2025 - search.proquest.com
Abstract The Small Business Innovation Research (SBIR) program operated by the United
States government has supported research and development activities at firms with fewer …

[PDF][PDF] Some remarks concerning on a fuzzy real normed space

MN Mohammedali - Indonesian Journal of Electrical Engineering and …, 2022 - academia.edu
In mathematics, computer science, statistics, and other fields, the notion of fuzzy metric and
fuzzy normed is crucial. Finding an acceptable fuzzy metric or norm for making some …

Robust learning to rank models and their biomedical applications

S Sotudian - 2023 - search.proquest.com
There exist many real-world applications such as recommendation systems, document
retrieval, and computational biology where the correct ordering of instances is of equal or …

Une approche basée sur les SMA et méta-heuristique pour la prédiction (PHM) médicale

D Houfani - 2023 - thesis.univ-biskra.dz
Au cours des dernières années, l'intelligence artificielle (IA) ne cesse de révolutionner le
monde. Elle est intégrée dans plusieurs secteurs tels que l'économie, l'industrie, la biologie …