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40 articles for “S.M. Ramesh”
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Research ArticleOpen accessIn the author namesA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDFCite
Research ArticleOpen accessIn the author namesImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessIn the author namesAdipose-Derived Canine Mesenchymal Stem Cells in PLAY® MediaArjun Kulkarni, Bhavana N. V., Teena Mary Thomas et al.In veterinary medicine, stem cell-based therapies present promise for addressing orthopedic and degenerative conditions in canines. Mesenchymal Stem Cells (MSCs) possess unique regenerative, immunomodulatory, and differentiation capabilities. However, their efficacy relies on optimal in-vitro conditions. Prolonged expansion over passages leads to a gradual loss of stem cell traits, highlighting the importance of optimized culture conditions and media supplements. This study … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 13 Jul 2024 · 5,598 accessesView PDFCite
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 · 6,074 accessesView PDFCite
Research ArticleOpen accessIn the author namesFace Verification for Person Re-Identification from Surveillance Camera and Drone-based VideosVimala Mathew, K. Ramesh, Tom Toby, Anu Mary ChackoPerson re-identification in surveillance camera videos is attracting widespread interest due to its increasing number of applications. It is being applied in the field of security, healthcare, product manufacturing, product sales and more. Though there are a variety of methods to do person re-identification, face verification-based methods are very much effective. In this study, a deep learning framework to perform … …Journal of Computer Science, Vol. 17, Issue 7 · 28 Jul 2021 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the author namesPerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,785 accessesView PDFCite
Review ArticleOpen accessIn the author namesFrom Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting TechniquesSetika Mehra, Ayush Dogra, Bhawna Goyal et al.Image inpainting is an evolving discipline of image processing with the objective of reconstructing an image by removing unwanted information, adding missing information or presenting the information appealing to the human visual system. In the presented manuscript, we have exhibited an extensive survey of various image inpainting techniques. The effectiveness of the techniques is together summarized with significant comparisons and … …Journal of Computer Science, Vol. 16, Issue 1 · 1 Jan 2020 · 8,720 accessesView PDFCite
Research ArticleOpen accessIn the author namesActivity Index and Author Exponential Growth on Forensic MedicineC. Baskaran, P. Ramesh BabuThe study examines the activity index and exponential growth of authors analysed during 1989-2016. The result of the study found that publications growth between 11 (0.26%) in 1989 and 447 (10.76%) in 201. RGR shows a fluctuates trend between 0.02 and 1.02 in 2005, 2006 and 1991 respectively. Complete twenty three years the research could be observed that RGR less … …Journal of Social Sciences, Vol. 15, Issue 1 · 14 Nov 2018 · 7,745 accessesView PDFCite
Research ArticleOpen accessIn the author namesPotentiality of Biogas as Renewable Energy Technology and its role for the Conservation of EnvironmentMaheshwor Poudel, Pabitra Adhikari, Ramesh Man SinghThe study shows the status of biogas as a Renewable Energy Technology (RET) and its role in the conservation of environment by reducing the consumption of fuelwood and Greenhouse Gases (GHGs) emission. 95 household survey, 10 key informant interviews, 3 focus group discussion and direct observatory technique were used for primary data collection. Fuelwood was found to be dominant energy … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 16 Dec 2016 · 7,792 accessesView PDFCite
Research ArticleOpen accessIn the author namesProportional Hazard Inverse Weibull Distribution and Associated InferenceSuja M. Aboukhamseen, Mohamed E. Ghitany, Ramesh C. GuptaIn this study, we have considered the proportional hazard version of the inverse Weibull distribution. It has been shown that the density and hazard rate functions are unimodal and the mean residual life function is bathtub shaped. For the considered model, many functions of the parameters, such as the mean, variance, coefficient of variation and the critical points of the … …Journal of Mathematics and Statistics, Vol. 12, Issue 2 · 18 Apr 2016 · 7,385 accessesView PDFCite