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ORCIDS. N. Deepa 0001
Person information
- affiliation: Anna University, Department of Electrical and Electronics Engineering, Coimbatore, India
- affiliation (PhD 2008): Anna University, Department of Electrical Engineering, Chennai, India
Other persons with the same name
- S. N. Deepa 0002 — National Institute of Technology Arunachal Pradesh, Yupia, India
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2020 – today
- 2023
[j30]A. Naesha Nithish, Shobhit K. Patel
, N. Ayyanar, Jaymit Surve, S. Rajaram, S. N. Deepa, Truong Khang Nguyen, Fahad Ahmed Al-Zahrani:
Terahertz Women Reproductive Hormones Sensor Using Photonic Crystal Fiber With Behavior Prediction Using Machine Learning. IEEE Access 11: 75424-75433 (2023)- [j29]S. N. Deepa, D. Rasi:
FHGSO: Flower Henry gas solubility optimization integrated deep convolutional neural network for image classification. Appl. Intell. 53(6): 7278-7297 (2023) - [j28]Deepa Subramaniam Nachimuthu, I Jasmine Selvakumari Jeya, Arunadevi Baladhandapani:
Adaptive extreme learning machine - Fuzzy system framework for energy optimization of IOTs in wireless sensor networks. Internet Technol. Lett. 6(1) (2023) - [j27]S. Tamizharasi, Arunadevi Baladhandapani, S. N. Deepa:
Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks. Wirel. Networks 29(8): 3541-3565 (2023) - 2022
- [j26]Deepa Subramaniam Nachimuthu, Abhik Banerjee, Jayakumar Karuppaiah:
Multi-step wind speed and wind power forecasting using variational momentum factor and deep learning based intelligent neural network models. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j25]Sanaboina Leela Krishna, I Jasmine Selvakumari Jeya, S. N. Deepa:
Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification. Neural Comput. Appl. 34(21): 19343-19376 (2022) - [j24]D. Rasi, S. N. Deepa:
Hybrid optimization enabled deep learning model for colour image segmentation and classification. Neural Comput. Appl. 34(23): 21335-21352 (2022) - 2021
- [j23]Durairajan Rasi, S. N. Deepa:
Energy optimization of internet of things in wireless sensor network models using type-2 fuzzy neural systems. Int. J. Commun. Syst. 34(17) (2021) - [j22]S. N. Deepa, Abhik Banerjee:
Intelligent decision support model using tongue image features for healthcare monitoring of diabetes diagnosis and classification. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 41 (2021) - 2020
- [j21]Yogambal Jayalakshmi Natarajan, Deepa Subramaniam Nachimuthu:
New SVM kernel soft computing models for wind speed prediction in renewable energy applications. Soft Comput. 24(15): 11441-11458 (2020) - [j20]M. Revathi, I Jasmine Selvakumari Jeya, S. N. Deepa:
Deep learning-based soft computing model for image classification application. Soft Comput. 24(24): 18411-18430 (2020) - [j19]Govindaraj S, Deepa Subramaniam Nachimuthu:
Network Energy Optimization of IOTs in Wireless Sensor Networks Using Capsule Neural Network Learning Model. Wirel. Pers. Commun. 115(3): 2415-2436 (2020)
2010 – 2019
- 2019
- [j18]K. Maruliya Begam, S. N. Deepa:
Optimized nonlinear neural network architectural models for multistep wind speed forecasting. Comput. Electr. Eng. 78: 32-49 (2019) - [j17]K. Sasi Kala Rani, S. N. Deepa:
Hybrid evolutionary computing algorithms and statistical methods based optimal fragmentation in smart cloud networks. Clust. Comput. 22(Suppl 1): 241-254 (2019) - [j16]V. Ranganayaki, S. N. Deepa:
Linear and non-linear proximal support vector machine classifiers for wind speed prediction. Clust. Comput. 22(Suppl 1): 379-390 (2019) - [j15]S. N. Deepa, D. Rasi:
Global biotic cross-pollination algorithm enhanced with evolutionary strategies for color image segmentation. Soft Comput. 23(8): 2545-2559 (2019) - [j14]N. Rajasingam, D. Rasi, S. N. Deepa:
Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems. Soft Comput. 23(18): 8453-8470 (2019) - 2018
- [j13]S. N. Deepa, I. Baranilingesan:
Optimized deep learning neural network predictive controller for continuous stirred tank reactor. Comput. Electr. Eng. 71: 782-797 (2018) - [j12]K. Sasi Kala Rani, D. Rasi, S. N. Deepa:
Developed global biotic cross pollination algorithm for CIS. Int. J. Bus. Intell. Data Min. 13(1/2/3): 108-128 (2018) - [j11]Deepa Subramaniam Nachimuthu, John Basha Rizwana:
Momentum-based wavelet and double wavelet neural networks for power system applications. Neural Comput. Appl. 29(7): 495-511 (2018) - [c7]S. N. Deepa, Arulmozhi Nagarajan, Gobu B, Kanimozhi P, Jaikumar S, Aruldoss Albert Victoire Tangaradjou:
Adaptive Regularized ELM and Improved VMD Method for Multi-step ahead Electricity Price Forecasting. ICMLA 2018: 1255-1260 - [c6]Deepa Subramaniam Nachimuthu, Selvam Govindaraj, Anand Tirupur Shanmuganathan:
Fuzzy Echo State Neural Network with Differential Evolution Framework for Time Series Forecasting. ICMLA 2018: 1322-1327 - 2017
- [j10]M. Madhiarasan, S. N. Deepa:
Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting. Artif. Intell. Rev. 48(4): 449-471 (2017) - 2016
- [j9]M. Madhiarasan, S. N. Deepa:
A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting. Appl. Intell. 44(4): 878-893 (2016) - [j8]I Jasmine Selvakumari Jeya, S. N. Deepa:
Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. Comput. Math. Methods Medicine 2016: 7493535:1-7493535:15 (2016) - 2015
- [j7]Arunadevi Baladhandapani, Deepa Subramaniam Nachimuthu:
Evolutionary learning of spiking neural networks towards quantification of 3D MRI brain tumor tissues. Soft Comput. 19(7): 1803-1816 (2015) - 2014
- [j6]Deepa Subramaniam Nachimuthu, Arunadevi Baladhandapani:
Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI. J. Digit. Imaging 27(4): 496-506 (2014) - [j5]K. Gnana Sheela, S. N. Deepa:
Performance analysis of modeling framework for prediction in wind farms employing artificial neural networks. Soft Comput. 18(3): 607-615 (2014) - 2013
- [j4]K. Gnana Sheela, S. N. Deepa:
Neural network based hybrid computing model for wind speed prediction. Neurocomputing 122: 425-429 (2013) - [j3]Pugalendhi GaneshKumar, Chellasamy Rani, S. N. Deepa:
Formation of Fuzzy if-then Rules and Membership Function using Enhanced Particle Swarm Optimization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 21(1): 103-126 (2013) - [c5]P. Kripakaran, A. Naraina, S. N. Deepa:
Condition Monitoring in Induction Motor by Parameter Estimation Technique. SocProS (2) 2013: 87-98 - [c4]S. N. Deepa, G. Sudha:
A Design of Longitudinal Control of an Aircraft Using a Fuzzy Logic Based PID Controller. SocProS (1) 2013: 547-559 - 2011
- [j2]Chellasamy Rani, S. N. Deepa:
An Intelligent Operator for Genetic Fuzzy Rule Based System. Int. J. Intell. Inf. Technol. 7(3): 28-40 (2011) - [j1]S. N. Deepa, G. Sugumaran:
Model order formulation of a multivariable discrete system using a modified particle swarm optimization approach. Swarm Evol. Comput. 1(4): 204-212 (2011) - [c3]E. Pratheepraj, Anuj Abraham, S. N. Deepa, V. Yuvaraj:
Very Short Term Wind Power Forecasting Using PSO-Neural Network Hybrid System. ACC (3) 2011: 503-511 - [c2]S. N. Deepa, B. Aruna Devi:
Modified Radial Basis Function Network for Brain Tumor Classification. SEMCCO (1) 2011: 366-371 - 2010
- [c1]C. Rania, S. N. Deepa:
PSO with mutation for fuzzy classifier design. Biometrics Technology 2010: 307-313
2000 – 2009
- 2008
- [b1]S. N. Sivanandam, S. N. Deepa:
Introduction to genetic algorithms. Springer 2008, pp. I-XIX, 1-442
Coauthor Index
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