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10 articles for “R. Nithya”
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Research ArticleOpen accessIn the author namesForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,077 accessesView PDFCite
Research ArticleOpen accessIn the author namesIrrigation System Using Hyperspectral Data and Machnie Learning Techniques for Smart AgricultureSanthi Balachandran, Sourna Lakshmi, Nithya RajendranWater is the main resource for agriculture. Management of water in agricultural field is a challenging process. To manage the water content in the agricultural field, smart irrigation system has been proposed by using fuzzy based decision support system on Hyperspectral Image benchmark dataset. Hyperspectral images are the process of collected and processed the images from electromagnetic spectrum. Recent studies … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,691 accessesView PDFCite
Research ArticleOpen accessIn the author namesDetection of Pulmonary Nodules in ct Images Using Deep Learning TechniqueSanthi Balachandran, Divya, Nithya Rajendran, Brindha GiriLung Cancer is one of the most deadly diseases worldwide. According to the American Cancer Society, about 234,030 peoples have been suffering from lung cancer. It can be cured if it is diagnosed earlier which decreases the death rate. A computational diagnostic tool named Computer Aided Diagnosis (CAD) is used to detect pulmonary nodules. Extensive work has been made in … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,818 accessesView PDFCite
Research ArticleOpen accessIn the author namesFUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATIONG.M. Rajathi, R. Rangarajan, R. Haripriya, R. NithyaThe image data is normally corrupted by additive noise during acquisition. This reduces the accuracy and reliability of any automatic analysis. For this reason, denoising methods are often applied to restore the original image. In proposed method a wavelet shrinkage algorithm based on fuzzy logic and the DT-DWT scheme is used. In particular, intra-scale dependency within wavelet coefficients is modeled … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the author namesDelay and Power Reduction in New Routing FabricsS. Vijayakumar, J. Sundararajan, P. Kumar, K. NithyaIn this study we created a new routing fabric for reducing power and delay. The power consumed in a FPGA core consists of both static and dynamic components. Static power contributes only 10% of the total power consumed in a FPGA. On the other hand, dynamic power contributes over 90% of the total power consumed and it is the main … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 23 Oct 2013 · 6,456 accessesView PDFCite
Research ArticleOpen accessIn the author namesMammogram Analysis Based on Pixel Intensity Mean FeaturesR. Nithya, B. SanthiProblem statement: In the recent years, Computer Aided Diagnosis (CAD) can be very useful for detection of breast cancer. Mammography can be used as an efficient tool for breast cancer diagnosis. A computer based diagnosis and classification system can reduce unnecessary biopsy. Approach: This study investigates a new approach to the classification of mammogram images based on pixel intensity mean … …Journal of Computer Science, Vol. 8, Issue 3 · 7 Jan 2012 · 7,670 accessesView PDFCite
Research ArticleOpen accessIn the author namesManufacturing Smart Industry Perspective an OverviewAyyaswamy Kathirvel, V M Gopinath, Kathirvel Naren et al.Within the past few decades, the increasing use of advanced technology in the manufacturing industry has drawn extensive study attention from all around the world. Smart technology is technology that gives previously thought-to-be-inanimate objects cognitive awareness through the application of artificial intelligence, machine learning and big data analysis. Smart Technology (ST) involves many emerging technologies like the internet of things, … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 1 · 29 Feb 2024 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the author namesA GAUSSIAN MIXTURE MODEL FOR CLASSIFYING THE HUMAN AGE USING DWT AND SAMMON MAPJ. Nithyashri, G. KulanthaivelThe appearance of a human face rigorously changes with respect to age that makes Age Classification as a more challenging task. The algorithms such as, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Radial Basis Function (RBF), motivated many Face Researchers to focus their attention in classifying the human age into various age groups. The Classification rate produced by these existing … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 7,714 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Non-Iterative Method for Factorization of Positive Matrix in Discrete Wavelet Transform Based Image CompressionNallathai Perumalsamy, Nithyanandam NatarajanA non-iterative method of factorizing a 4×4 positive matrix, with the application to image compression is explained using an example. The procedure is applied to all the 4096 number of 4×4 pixel sub-blocks of a 256×256 image for compression. The proposed compression technique can be applied to the Discrete Wavelet Transform (DWT) coefficients of the test image. The 16 Pixel … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 17 Jun 2013 · 6,547 accessesView PDFCite
Research ArticleOpen accessIn the author namesData Relay Clustering Algorithm for Wireless Sensor Networks: A Data Mining ApproachS. Nithyakalyani, S. Suresh KumarProblem statement: Nowadays sensors are very essential for today life to monitor environment where human cannot get involved very often. Wireless Sensor Networks (WSN) are used in many real world applications like environmental monitoring, traffic control, trajectory monitoring. It is more challenging for sensor network to sense and collect a large amount of data which are continuous over time, which … …Journal of Computer Science, Vol. 8, Issue 8 · 14 Jul 2012 · 7,199 accessesView PDFCite