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Using the Grasshopper Optimization Algorithm for Fuzzy Classifier Design
AbstractThe paper describes three stages in the construction of a fuzzy classifier. The first refers to the formation of fuzzy rules, the second...
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Dynamic neuro fuzzy diagnosis of fetal hypoplastic cardiac syndrome using ultrasound images
Congenital heart anomalies (CHA) represent a substantial risk to neonates, with 28% to 48% of cases resulting in life-threatening conditions....
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Mathematically Modified Adaptive Neuro-Fuzzy Inference System for an Intelligent Cyber Security System
Cybersecurity is defending sensitive information and crucial systems against Internet attacks. Cyber-Physical Systems (CPS) and the Internet of...
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An adaptive neuro fuzzy methodology for the diagnosis of prenatal hypoplastic left heart syndrome from ultrasound images
Congenital heart defect (CHD) is one of the most serious congenital deformities in a fetus. About 31% to 55% of CHDs are the primary cause that leads...
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Bidirectional Recurrent Network and Neuro-fuzzy Frequent Pattern Mining for Heart Disease Prediction
In recent days medical clinics need more analysis in heart disease because of most dangerous disease caused mostly worldwide affected by the people....
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Adaptive neuro-fuzzy based hybrid classification model for emotion recognition from EEG signals
Emotion recognition using physiological signals has gained significant attention in recent years due to its potential applications in various...
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Predicting UPDRS in Parkinson’s disease using ensembles of self-organizing map and neuro-fuzzy
Parkinson's Disease (PD) is a complex, degenerative disease that affects nerve cells that are responsible for body movement. Artificial Intelligence...
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Modified fuzzy based neuro networks for the prediction of common thorax diseases
In the realm of artificial intelligence, fuzzy logic emerges as a valuable tool for predicting thoracic disorders, encompassing various medical...
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A neuro-fuzzy based healthcare framework for disease analysis and prediction
With the augmentation of computing and communication technologies, versatile and huge volume of distinguished data sources, the domain of healthcare...
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A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images
Lyme disease, caused by a bacterium transmitted through the bite of an infected tick, is often misdiagnosed due to its similarity to other conditions...
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Human fall detection using neuro-fuzzy models based on ensemble learning
Human falling may be due to a violent act, a heart attack or perhaps physical illness. Every year, many old people are being treated for injuries or...
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Prediction of the level of air pollution using adaptive neuro-fuzzy inference system
Air pollution is a severe environmental issue that has garnered international attention. Air pollution forecasting is critical for daily health...
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Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review
The spread of Covid-19 misinformation on social media had significant real-world consequences, and it raised fears among internet users since the...
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Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
With the enormous growth in the public and private vehicles fleet, traffic congestion is increasing at a very high rate. To deal with this, an...
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A neuro-fuzzy model for predicting and analyzing student graduation performance in computing programs
Predicting student’s successful completion of academic programs and the features that influence their performance can have a significant effect on...
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On the detection of Alzheimer’s disease using fuzzy logic based majority voter classifier
Alzheimer’s disease (AD) is considered to be one of the most frequent neurogenerative dementia in the elderly population. In order to improve the...
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A type-2 neuro-fuzzy system with a novel learning method for Parkinson’s disease diagnosis
In this paper, an interpretable classifier for Parkinson’s Disease (PD) diagnosis based on analyzing the gait cycle is presented. The proposed method...
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A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods
Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems using the efficient learning process of deep neural networks...
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Speech to Sign Language Conversion Using Neuro Fuzzy Classifier
Speech communication is the central interaction between the humans for the procreation and survival. Recently, researchers coordinated toward the...