ANFIS Based Reinforcement Learning Strategy for Control A Nonlinear Coupled Tanks System
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(10)
Publication Date
Thu Jan 01 2026
Journal Name
Ieee Transactions On Human-machine Systems
Publication Date
Mon Jan 01 2024
Journal Name
Fusion: Practice And Applications
(3)
(1)
Publication Date
Fri Jun 08 2018
Journal Name
Advances In Intelligent Systems And Computing
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(3)
Publication Date
Thu Apr 30 2026
Journal Name
International Journal Of Engineering Pedagogy (ijep)
The Impact of Intelligent Adaptive Learning on Flexible Thinking and Academic Achievement for Undergraduate Students
Intelligent adaptive learning (IAL)
flexible thinking (FT)
academic achievement
AI in education
personalized learning
undergradu-ate students
education college
quasi-experimental design
adaptive plat-forms
In the knowledge society, artificial intelligence (AI) forms a cornerstone of global education. This quasi-experimental study examines the impact of an Intelligent Adaptive Learning Strategy (IALS) on flexible thinking (FT) and academic achievement among 60 3rd-year undergraduate students at the College of Education/University of Baghdad (experimental n = 30; control n = 30). The IALS was implemented via an AI-supported educational platform, while the control group received conventional instruction. Post-test intervention assessments included an FT test (10 items, content validity = 0.89, Cronbach’s α = 0.87) and an achievement test (10 objective items, α = 0.85). Results revealed statistically significant superiority of the exp
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(1)
Publication Date
Wed Jun 01 2022
Journal Name
Results In Engineering
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(18)
Publication Date
Tue Mar 01 2016
Journal Name
Optics Communications
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(12)
Publication Date
Sat Mar 30 2024
Journal Name
Journal Of Kufa For Mathematics And Computer
Publication Date
Tue Jan 01 2019
Journal Name
Aip Conference Proceedings
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(7)
Publication Date
Wed Jun 28 2023
Journal Name
Mathematics
The Impact of Fear on a Harvested Prey–Predator System with Disease in a Prey
A mathematical eco-epidemiological model consisting of harvested prey–predator system involving fear and disease in the prey population is formulated and studied. The prey population is supposed to be separated into two groups: susceptible and infected. The susceptible prey grows logistically, whereas the infected prey cannot reproduce and instead competes for the environment’s carrying capacity. Furthermore, the disease is transferred through contact from infected to susceptible individuals, and there is no inherited transmission. The existence, positivity, and boundedness of the model’s solution are discussed. The local stability analysis is carried out. The persistence requirements are established. The global behavior of th
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(13)
(5)
Publication Date
Fri Sep 15 2017
Journal Name
Research Journal Of Applied Sciences, Engineering And Technology
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