Performance and early drop prediction for higher education students using machine learning
A significant goal of modern universities is to provide high-quality education to their students
and reduce their failure rates. The early recognition of low-performance students that would …
and reduce their failure rates. The early recognition of low-performance students that would …
Evaluating the window size's role in automatic EEG epilepsy detection
Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …
Analyzing and modeling the spatial-temporal changes and the impact of GLOTI index on precipitation in the Marmara region of Türkiye
Precipitation is a particularly important part of the Earth's hydrological cycle and, therefore, is
a necessary variable for maintaining natural balance. This study investigated past, present …
a necessary variable for maintaining natural balance. This study investigated past, present …
Analysis and estimation of cross-flow heat exchanger fouling in phosphoric acid concentration plant using response surface methodology (RSM) and artificial neural …
R Jradi, C Marvillet, MR Jeday - Scientific Reports, 2022 - nature.com
The production of phosphoric acid by dehydrated process leads to the precipitation of
unwanted insoluble salts promoting thus the crystallization fouling build-up on heat transfer …
unwanted insoluble salts promoting thus the crystallization fouling build-up on heat transfer …
Wind power prediction using a three stage genetic ensemble and auxiliary predictor
This paper presents a novel method for accurate wind power prediction by applying
computational intelligence approaches while exploiting Auxiliary Predictor (AxP) and …
computational intelligence approaches while exploiting Auxiliary Predictor (AxP) and …
Fast-converging and low-complexity linear massive MIMO detection with L-BFGS method
L Li, J Hu - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) uplink, linear minimum mean square error
(MMSE) detection achieves near-optimal performance but suffers from undesirable …
(MMSE) detection achieves near-optimal performance but suffers from undesirable …
Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication
Screening and evaluation of developmental disorders include complex and challenging
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
Automatic hemiplegia type detection (right or left) using the Levenberg-Marquardt backpropagation method
Hemiplegia affects a significant portion of the human population. It is a condition that causes
motor impairment and severely reduces the patient's quality of life. This paper presents an …
motor impairment and severely reduces the patient's quality of life. This paper presents an …
Constructing features for screening neurodevelopmental disorders using grammatical evolution
Featured Application This study is part of an ongoing research project titled “Smart
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
A new hyhbrid coefficient of conjugate gradient method
Hybridization is one of the popular approaches in modifying the conjugate gradient method.
In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the …
In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the …