S. N. Deepa

Orcid: 0000-0003-2150-5051

Affiliations:
  • Anna University, Department of Electrical and Electronics Engineering, Coimbatore, India
  • Anna University, Department of Electrical Engineering, Chennai, India (PhD 2008)


According to our database1, S. N. Deepa authored at least 38 papers between 2008 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks.
Wirel. Networks, November, 2023

FHGSO: Flower Henry gas solubility optimization integrated deep convolutional neural network for image classification.
Appl. Intell., March, 2023

Adaptive extreme learning machine - Fuzzy system framework for energy optimization of IOTs in wireless sensor networks.
Internet Technol. Lett., 2023

Terahertz Women Reproductive Hormones Sensor Using Photonic Crystal Fiber With Behavior Prediction Using Machine Learning.
IEEE Access, 2023

2022
Hybrid optimization enabled deep learning model for colour image segmentation and classification.
Neural Comput. Appl., 2022

Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification.
Neural Comput. Appl., 2022

Multi-step wind speed and wind power forecasting using variational momentum factor and deep learning based intelligent neural network models.
Concurr. Comput. Pract. Exp., 2022

2021
Intelligent decision support model using tongue image features for healthcare monitoring of diabetes diagnosis and classification.
Netw. Model. Anal. Health Informatics Bioinform., 2021

Energy optimization of internet of things in wireless sensor network models using type-2 fuzzy neural systems.
Int. J. Commun. Syst., 2021

2020
Network Energy Optimization of IOTs in Wireless Sensor Networks Using Capsule Neural Network Learning Model.
Wirel. Pers. Commun., 2020

Deep learning-based soft computing model for image classification application.
Soft Comput., 2020

New SVM kernel soft computing models for wind speed prediction in renewable energy applications.
Soft Comput., 2020

2019
Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems.
Soft Comput., 2019

Global biotic cross-pollination algorithm enhanced with evolutionary strategies for color image segmentation.
Soft Comput., 2019

Hybrid evolutionary computing algorithms and statistical methods based optimal fragmentation in smart cloud networks.
Clust. Comput., 2019

Linear and non-linear proximal support vector machine classifiers for wind speed prediction.
Clust. Comput., 2019

Optimized nonlinear neural network architectural models for multistep wind speed forecasting.
Comput. Electr. Eng., 2019

2018
Momentum-based wavelet and double wavelet neural networks for power system applications.
Neural Comput. Appl., 2018

Developed global biotic cross pollination algorithm for CIS.
Int. J. Bus. Intell. Data Min., 2018

Optimized deep learning neural network predictive controller for continuous stirred tank reactor.
Comput. Electr. Eng., 2018

Fuzzy Echo State Neural Network with Differential Evolution Framework for Time Series Forecasting.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Adaptive Regularized ELM and Improved VMD Method for Multi-step ahead Electricity Price Forecasting.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting.
Artif. Intell. Rev., 2017

2016
Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.
Comput. Math. Methods Medicine, 2016

A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting.
Appl. Intell., 2016

2015
Evolutionary learning of spiking neural networks towards quantification of 3D MRI brain tumor tissues.
Soft Comput., 2015

2014
Performance analysis of modeling framework for prediction in wind farms employing artificial neural networks.
Soft Comput., 2014

Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI.
J. Digit. Imaging, 2014

2013
Formation of Fuzzy if-then Rules and Membership Function using Enhanced Particle Swarm Optimization.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2013

Neural network based hybrid computing model for wind speed prediction.
Neurocomputing, 2013

Condition Monitoring in Induction Motor by Parameter Estimation Technique.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

A Design of Longitudinal Control of an Aircraft Using a Fuzzy Logic Based PID Controller.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

2011
Model order formulation of a multivariable discrete system using a modified particle swarm optimization approach.
Swarm Evol. Comput., 2011

An Intelligent Operator for Genetic Fuzzy Rule Based System.
Int. J. Intell. Inf. Technol., 2011

Modified Radial Basis Function Network for Brain Tumor Classification.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Very Short Term Wind Power Forecasting Using PSO-Neural Network Hybrid System.
Proceedings of the Advances in Computing and Communications, 2011

2010
PSO with mutation for fuzzy classifier design.
Proceedings of the International Conference and Exhibition on Biometrics Technology, 2010

2008
Introduction to genetic algorithms.
Springer, 2008


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