[PDF][PDF] Enhancing emergency department efficiency through simulation and fuzzy multi-criteria decision-making integration

H Lazarashouri, SE Najafi - J Oper Strategy Anal, 2024 - library.acadlore.com
An innovative framework is introduced for the enhancement of efficiency within emergency
departments (EDs), utilizing an integration of simulation and fuzzy Multi-Criteria Decision …

A novel dynamic event-triggered dissipative filtering for T–S fuzzy systems with asynchronous constraints

C Hu, S Ding - International Journal of Fuzzy Systems, 2024 - Springer
This paper investigates the problem of dynamic event-triggered dissipative filtering for T–S
fuzzy systems. First, a novel dynamic event-triggered mechanism (DETM) is proposed to …

Real power loss reduction by extreme learning machine based Panthera leo, chaotic based Jungle search and Quantum based Chipmunk search optimization …

L Kanagasabai - International Journal of System Assurance Engineering …, 2023 - Springer
Abstract In this paper Extreme Learning Machine based Panthera leo Optimization Algorithm
(ELMPO), Chaotic based Jungle search optimization (CJSO) algorithm and Quantum based …

Robust optimal fractional-order interval-type-2 fuzzy integration with nonlinear PI controller of fixed-wing aerial robot

Y Yang - Mechanics Based Design of Structures and Machines, 2025 - Taylor & Francis
This study presents a novel approach to achieve robust and optimal control of fixed-wing
aerial robots. It combines fractional-order (FO) fuzzy interval-type-2 (IT2) integration with …

Adaptive Neuro Fuzzy-Based Depression Detection Model for Students in Tertiary Education

SS Udoh, PU Usip, UD George, IE Akpan - International Conference on …, 2023 - Springer
Depression is a severe mental disorder with characteristic symptoms such as sadness,
feeling of emptiness, anger, anxiety and sleep disturbance as well as general loss of …

Hybrid intelligent telemedical monitoring and predictive systems

U Umoh, I Eyoh, VS Murugesan… - … Journal of Hybrid …, 2021 - content.iospress.com
Healthcare systems need to overcome the high mortality rate associated with cardiovascular
disease and improve patients' health by using decision support models that are both …

[PDF][PDF] Automated sleep stage detection based on recurrence quantification analysis using machine learning

M Karimi Moridani, A Hajiali - Journal of applied research on …, 2022 - journal-aprie.com
In recent years, the use of intelligent methods for automatic detection of sleep stages in
medical applications to increase diagnostic accuracy and reduce the workload of physicians …

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M Regression, A Osojnik, P Panov… - … Conference, DS 2023 …, 2023 - books.google.com
The task of feature ranking has received considerable attention across various prediction
tasks in the batch learning scenario, but not in the online learning setting. Available methods …

[PDF][PDF] Detection Model for Students in Tertiary

SS Udohºº, PU Usipºº, UD George, IE Akpan - researchgate.net
Depression is a severe mental disorder with characteristic symptoms such as sadness,
feeling of emptiness, anger, anxiety and sleep disturbance as well as general loss of …