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Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems
IEEE Transactions on Biomedical Engineering, 2007In this paper, we investigate the use of adaptive neuro-fuzzy inference systems (ANFIS) for fetal electrocardiogram (FECG) extraction from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be almost completely maternal (MECG) while the abdominal ECG is considered to be composite as it ...
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Adaptive Neuro-Fuzzy Inference Systems for Automatic Detection of Breast Cancer
Journal of Medical Systems, 2008This paper intends to an integrated view of implementing adaptive neuro-fuzzy inference system (ANFIS) for breast cancer detection. The Wisconsin breast cancer database contained records of patients with known diagnosis. The ANFIS classifiers learned how to differentiate a new case in the domain by given a training set of such records.
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An Adaptive Neuro-Fuzzy Inference System for Diagnosis of Aphasia
2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008Aphasia is a language disability that has several subdivisions such as Anomic, Broca, Global, and Wernicke. Some reasons such as dissension in description of aphasia and its symptoms, large number of test items which are not quite accurate, linguistic ambiguity and uncertainty as well as typical complexities of medical diagnosis cause accurate ...
Sepideh Fazeli +2 more
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Automatic diagnosis of diabetes using adaptive neuro‐fuzzy inference systems
Expert Systems, 2010Abstract: A new approach based on an adaptive neuro‐fuzzy inference system (ANFIS) is presented for diagnosis of diabetes diseases. The Pima Indians diabetes data set contains records of patients with known diagnosis. The ANFIS classifiers learn how to differentiate a new case in the domain by being given a training set of such records.
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Adaptive Neuro Fuzzy Inference System for Extraction of fECG
2005 Annual IEEE India Conference - Indicon, 2006Fetal ECG (IECG) monitoring enables accurate measurement of fetal cardiac performance including transient or permanent abnormalities of rhythm. Thie fetal signal obtained from the maternail abdomnen is mixed with much interference. The major source of this interference is maternal ECG (mECG).
C. Kezi Selva Vijila +2 more
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International Journal of Fuzzy System Applications, 2015
One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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Facial Expression Recognition Using Adaptive Neuro-fuzzy Inference Systems
2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS), 2018Facial expressions form a universal language of emotions, which can instantly express a wide range of emotional states and feelings. The analysis of facial expressions and the accurate recognition of their emotional content are highly desired and assistive in a wide spectrum of domains.
Isidoros Perikos +2 more
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Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022
Matthew Vechione, Ruey Long Cheu
exaly
Matthew Vechione, Ruey Long Cheu
exaly