Application of machine learning methods in fault detection and classification of power transmission lines: a survey

FM Shakiba, SM Azizi, M Zhou, A Abusorrah - Artificial Intelligence Review, 2023 - Springer
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …

[HTML][HTML] Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review

S Kierner, J Kucharski, Z Kierner - Journal of Biomedical Informatics, 2023 - Elsevier
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

Design and conceptual proposal of an intelligent clinical decision support system for the diagnosis of suspicious obstructive sleep apnea patients from health profile

M Casal-Guisande, M Torres-Durán… - International journal of …, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a chronic sleep-related pathology characterized by
recurrent episodes of total or partial obstruction of the upper airways during sleep. It entails a …

Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

A Yazdani, M Shanbehzadeh… - BMC Medical Informatics …, 2023 - Springer
Introduction The global society is currently facing a rise in the elderly population. The
concept of successful aging (SA) appeared in the gerontological literature to overcome the …

[HTML][HTML] iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment

U Qidwai, U Qidwai, T Sivapalan, G Ratnarajan - MethodsX, 2023 - Elsevier
The use of AI-based techniques in healthcare are becoming more and more common and
more disease-specific. Glaucoma is a disorder in eye that causes damage to the optic nerve …

Data Prediction & Comparative Error Analysis of Compressible Fluid Flow using Neuro-Fuzzy Modelling

C Jacob, T Sasipraba - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Nitrogen gas under pressure released from storage is expected to flow at a set pressure at
the downstream end of the control valve. The dynamic changes in pressure and temperature …

Using GA-ANFIS machine learning model for forecasting the load bearing capacity of driven piles

DD Nguyen, HP Nguyen, DQ Vu, I Prakash… - Journal of Science and …, 2023 - jstt.vn
This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a
combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm …

[PDF][PDF] Classification of sympathetic skin response based on the morphologic features and Adaptive Neuro Fuzzy Inference system (ANFIS)

JBEN ALI, M SAYADI, J GRAPPERON, JM GINOUX - 2023 - assets-eu.researchsquare.com
The prevalence of polyneuropathy (PNP) or peripheral neuropathy (PN) is estimated to be
2%-3% in the general population and may be as high as 8% in people over 55 years of age …

Classification of sympathetic skin response based on the morphologic features and Adaptive Neuro Fuzzy Inference system (ANFIS)

BEN Jaouher, M SAYADI, J GRAPPERON, JM GINOUX - 2023 - researchsquare.com
The prevalence of polyneuropathy (PNP) or peripheral neuropathy (PN) is estimated to be
2%-3% in the general population and may be as high as 8% in people over 55 years of age …