[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 …
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 …
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 …
(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 …
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
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 …
feeling of emptiness, anger, anxiety and sleep disturbance as well as general loss of …
Hybrid intelligent telemedical monitoring and predictive systems
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 …
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 …
medical applications to increase diagnostic accuracy and reduce the workload of physicians …
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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 …
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 …
feeling of emptiness, anger, anxiety and sleep disturbance as well as general loss of …