M. Suchetha

Orcid: 0000-0003-0182-6341

Affiliations:
  • Vellore Institute of Technology (VIT), Centre for Healthcare Advancements, Innovation and Research, Chennai Campus, India


According to our database1, M. Suchetha authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease.
Evol. Intell., June, 2024

A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification.
Biomed. Signal Process. Control., February, 2024

Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction.
Biomed. Signal Process. Control., 2024

Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features.
IEEE Access, 2024

2023
A 1-D CNN-FCM model for the classification of epileptic seizure disorders.
Neural Comput. Appl., August, 2023

Energy-Dependent RLS Architecture for the Separation of Fetal ECG Using Thoracic and Abdominal Lead ECG of Mother.
IEEE Trans. Instrum. Meas., 2023

Comparative performance of deep learning architectures in classification of diabetic retinopathy.
Int. J. Ad Hoc Ubiquitous Comput., 2023

Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement.
IEEE Access, 2023

2022
Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture.
IEEE Trans. Biomed. Circuits Syst., 2022

A novel optimised apnea classification with AA-CNN method by utilising the EDR and ECG features.
Int. J. Ad Hoc Ubiquitous Comput., 2022

An optimised machine learning algorithm for classification of epileptic seizures using EMD-based dynamic features of EEG.
Int. J. Ad Hoc Ubiquitous Comput., 2022

Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition.
Biomed. Signal Process. Control., 2022

A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes.
IEEE Access, 2022

2021
Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN.
Soft Comput., 2021

Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy.
Biomed. Signal Process. Control., 2021

Sequential Convolutional Neural Networks for classification of cognitive tasks from EEG signals.
Appl. Soft Comput., 2021

2020
Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease.
Int. J. Medical Eng. Informatics, 2020

A dynamic pooling based convolutional neural network approach to detect chronic kidney disease.
Biomed. Signal Process. Control., 2020

2019
PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications.
Comput. Biol. Medicine, 2019

2018
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.
IEEE J. Biomed. Health Informatics, 2018

2017
Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non-invasive diabetes detection.
IET Circuits Devices Syst., 2017

2013
Classification of Arrhythmia in Electrocardiogram using EMD Based Features and Support Vector Machine with Margin Sampling.
Int. J. Comput. Intell. Appl., 2013

Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods.
Biomed. Signal Process. Control., 2013


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