Search Results - "Deepa, S. N."

Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting by Madhiarasan, M., Deepa, S. N.

“…In this paper methodologies are proposed to estimate the number of hidden neurons that are to be placed numbers in the hidden layer of artificial neural…”
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Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images by Subha, B., Jeyakumar, Vijay, Deepa, S. N.

“…Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain and abnormalities for humans and on detecting at an early stage, timely…”
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Watchdog malicious node detection and isolation using deep learning for secured communication in MANET by Narmadha, A S, Maheswari, S, Deepa, S N

“…Mobile Ad-hoc Networks (MANETs) are wireless networks formed dynamically by connecting or leaving nodes to and from the network without any fixed…”
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Neural network based hybrid computing model for wind speed prediction by Gnana Sheela, K., Deepa, S.N.

“…This paper proposes a Neural Network based hybrid computing model for wind speed prediction in renewable energy systems. Wind energy is one of the renewable…”
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Enhanced Aquila Optimizer Combined Ensemble Bi-LSTM-GRU With Fuzzy Emotion Extractor for Tweet Sentiment Analysis and Classification by Sherin, A., Jasmine Selvakumari Jeya, I., Deepa, S. N.

“…Tweet Sentiment Analysis (TSA) is a prominent technique to glean valuable insights from the users of Twitter (currently the X platform) to understand their…”
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Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier by Subbulakshmi, C. V., Deepa, S. N.

“…Medical data classification is a prime data mining problem being discussed about for a decade that has attracted several researchers around the world. Most…”
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An Intelligent Ensemble Neural Network Model for Wind Speed Prediction in Renewable Energy Systems by Ranganayaki, V., Deepa, S. N.

“…Various criteria are proposed to select the number of hidden neurons in artificial neural network (ANN) models and based on the criterion evolved an…”
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Terahertz Women Reproductive Hormones Sensor Using Photonic Crystal Fiber with Behavior Prediction using Machine Learning by Naesha Nithish, A, Patel, Shobhit K., Ayyanar, N., Surve, Jaymit, Rajaram, S., Deepa, S.N., Nguyen, Truong Khang, Al-Zahrani, Fahad Ahmed

“…In this article, we propose a rectangular hollow core Photonic Crystal Fiber (PCF) sensor for high detection of women's reproductive hormones (progesterone and…”
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Variant of the charged system search algorithm for the design of optimal linear phase finite impulse response filters by Meenaakshi Sundhari, R. P., Deepa, S. N.

“…Digital signal filtering is one of the prime area which is frequently used in practical applications. In the class of digital filters, the prominent filters…”
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Minimization of losses and FACTS installation cost using proposed differential gravitational search algorithm optimization technique by Deepa, SN, Rizwana, J

“…The optimal location of Flexible AC Transmission Systems (FACTS) controllers in a multi-machine power system using proposed differential gravitational search…”
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FHGSO: Flower Henry gas solubility optimization integrated deep convolutional neural network for image classification by Deepa, S. N., Rasi, D.

“…Image classification becomes a popular research area in computer vision due to the increasing development of image indexing and retrieval tasks. This paper…”
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Network Energy Optimization of IOTs in Wireless Sensor Networks Using Capsule Neural Network Learning Model by Govindaraj, S., Deepa, S. N.

“…In this paper, an effective network energy optimization is carried out for the internet of things (IoTs) sensor nodes in respect of the wireless sensor…”
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Hybrid optimization enabled deep learning model for colour image segmentation and classification by Rasi, D., Deepa, S. N.

“…Image segmentation is one of the most significant tasks in image analysis, and it plays an imperative job in image processing to analyse and attain meaningful…”
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Retraction Note: Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems by Rajasingam, N., Rasi, D., Deepa, S. N.

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Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks by Tamizharasi, S., Arunadevi, B., Deepa, S. N.

“…In mobile ad-hoc networks (MANETs) always the quality-of-service (QoS) routing problem remains to exist and as a non-deterministic polynomial hard problem it…”
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A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting by Madhiarasan, M., Deepa, S. N.

“…This paper analyzes various earlier approaches for selection of hidden neuron numbers in artificial neural networks and proposes a novel criterion to select…”
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Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification by Krishna, Sanaboina Leela, Jeya, I. Jasmine Selvakumari, Deepa, S. N.

“…Hyperspectral imaging is highly important with respect to the detection, identification and classification of various natural resources—minerals, earth’s…”
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Adaptive probabilistic neural network based on hybrid PSO–ALO for predicting wind speed in different regions by Vinothkumar, T., Deepa, S. N., Raj, F. Vijay Amirtha

“…Machine learning neural network (NN) algorithms are being applied for the past few years in all engineering and science domain, economic sectors, image…”
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Intelligent Neural Learning Models for Multi-step Wind Speed Forecasting in Renewable Energy Applications by Deepa, S. N., Banerjee, Abhik

“…Nonlinear radial basis function neural network (RBFNN) model and a wavelet neural network (WNN) model are developed in this research study to perform…”
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Intelligent ubiquitous computing model for energy optimization of cloud IOTs in sensor networks by Deepa, S N

“…PurposeLimitations encountered with the models developed in the previous studies had occurrences of global minima; due to which this study developed a new…”
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