Výsledky vyhledávání - "A. K. Jayanthy"

Wavelet Scattering Transform and Deep Learning Networks based Autism Spectrum Disorder Identification using EEG Signals

Autor: Qaysar Mohi ud Din, Anavai K. Jayanthy

Publikováno v: Traitement du Signal. 39:2069-2076

Autism Spectrum Disorder (ASD), a neurological abnormality that influences how an individual perceives and interacts with others, which leads to issues with social interaction and communication. In accordance with the Centers for Disease Control and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a039e282b8c27955b0ba89c6de87ed61
https://doi.org/10.18280/ts.390619

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Autism spectrum disorder detection technique using EEG and convolution neural networks

Autor: Qaysar Mohi-ud-Din, A. K. Jayanthy

Publikováno v: PROCEEDING OF INTERNATIONAL CONFERENCE ON ENERGY, MANUFACTURE, ADVANCED MATERIAL AND MECHATRONICS 2021.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ac71a4aaee33e17c8b703367abc6e90
https://doi.org/10.1063/5.0128348

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DETECTION OF AUTISM SPECTRUM DISORDER BY FEATURE EXTRACTION OF EEG SIGNALS AND MACHINE LEARNING CLASSIFIERS

Autor: Qaysar Mohi ud Din, A. K. Jayanthy

Publikováno v: Biomedical Engineering: Applications, Basis and Communications. 35

Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, impacts the subject’s social communication and interaction and the subjects exhibit restricted and repetitive behaviors. Subjects with ASD may need assistance throughout their life, dep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8a5ea477c33c956b3641e7ad1915b02
https://doi.org/10.4015/s1016237222500466

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Prediction of cardiovascular risk by measuring carotid intima media thickness from an ultrasound image for type II diabetic mellitus subjects using machine learning and transfer learning techniques

Autor: C. Prem Kumar, Balaji Ramraj, P. Lakshmi Prabha, A. K. Jayanthy

Publikováno v: The Journal of Supercomputing. 77:10289-10306

Cardiovascular disease (CVD) is a fatal disease that causes increased death in developing and developed nations. Among the various reasons, the increase in carotid intima media thickness (CIMT) is also a significant reason for CVD. It is expected to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb585618a9c02a3350e108fdacc0306f
https://doi.org/10.1007/s11227-021-03676-w

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RISK ANALYSIS AND CLASSIFICATION OF MYOCARDIAL INFARCTION FROM CAROTID INTIMA MEDIA THICKNESS OF B-MODE ULTRASOUND IMAGE USING VARIOUS MACHINE LEARNING AND DEEP LEARNING TECHNIQUES

Autor: P. Lakshmi Prabha, A. K. Jayanthy

Publikováno v: Biomedical Engineering: Applications, Basis and Communications. 34

Myocardial infarction (MI) is a life threatening condition that causes death in developing nations due to blockage in the blood vessel of the coronary artery that supplies blood to the heart. Any blockage in blood vessel of carotid artery located in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d0f173aee4edd1c999077a6e419eabc
https://doi.org/10.4015/s1016237222500314

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AUTOMATED CLASSIFICATION OF AUTISM SPECTRUM DISORDER USING EEG SIGNALS AND CONVOLUTIONAL NEURAL NETWORKS

Autor: Qaysar Mohi ud Din, A. K. Jayanthy

Publikováno v: Biomedical Engineering: Applications, Basis and Communications. 34

Children suffering from Autism Spectrum Disorder (ASD) have impaired social communication, interaction and restricted and repetitive behaviors. ASD is caused by abnormal brain developments which give rise to the behavioral characteristics associated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c963c0a83d546b6897122e1fb4c8483
https://doi.org/10.4015/s101623722250020x

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M-mode Carotid Artery Image Classification and Risk Analysis Based on Machine Learning and Deep Learning Techniques

Autor: P. Lakshmi Prabha, A. K. Jayanthy, Kumar Janardanan

Publikováno v: Expert Clouds and Applications ISBN: 9789811924996

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8db05a92b7b62d0d1b2b1bf9330d853f
https://doi.org/10.1007/978-981-19-2500-9_50

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Autism Spectrum Disorder classification using EEG and 1D-CNN

Autor: Qaysar Mohi-ud-Din, A. K. Jayanthy

Publikováno v: 2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee662dc4af6473673748e030788e8fea
https://doi.org/10.1109/iemecon53809.2021.9689100

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Detection of Autism Spectrum Disorder from EEG signals using pre-trained deep convolution neural networks

Autor: Qaysar Mohi-ud-Din, A. K. Jayanthy

Publikováno v: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII).

Electroencephalography (EEG) is a method of recording the electrical activity of the brain and it has been used to detect various neurological disorders which are associated with the abnormal brain electrical activity. Various diseases such as epilep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83ddc590c85e1c471b83f9d41618d626
https://doi.org/10.1109/icbsii51839.2021.9445193

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WITHDRAWN: EEG feature extraction using wavelet transform for classifying autism spectrum disorder

Autor: A. K. Jayanthy, Qaysar Mohi-ud-Din

Publikováno v: Materials Today: Proceedings.

Autism spectrum disorder is a neurodevelopmental disorder in which subjects have impairments in communication, social interaction and is diagnosed on the basis of behavioral assessment, which leads to loss of time for early intervention. Electroencep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b90a277cf646df24a92fb05862816ce7
https://doi.org/10.1016/j.matpr.2021.01.803

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