17 results for “RN Shilpa”

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Research ArticleOpen accessIn the author namesFake News Detection Using Weighted Fine-Tuned BERT and Sparse Recurrent Neural NetworkAsha Kathigi, Mukta Pujar, A M S Akshatha et al.Fake news refers to misinformation or false reports shared in the form of images, articles, or videos, disguised as real news to manipulate people’s opinions. Recently, fake news and rumors have spread extensively and rapidly around the world. This has led to the production and propagation of inaccurate news articles. Therefore, it is necessary to restrict the spread of fake … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,087 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDesign and Development of an Automatic Penetration Test Generation Methodology for Security of Web ApplicationsShilpa R. G., Pushphavathi T. P., Murthy P. V. R.In today's world, web application security is becoming more crucial. Web applications frequently hold sensitive data, which might be compromised if it were to fall into the hands of a hostile attacker. This leads to significant losses for businesses and customers alike and exposes the qualities of confidentiality, integrity, and availability. A penetration test is an attempt to exploit vulnerabilities … …Journal of Computer Science, Vol. 20, Issue 10 · 30 Jul 2024 · 5,738 accessesView PDF Cite

CorrigendumOpen accessIn the author namesCorrigendum: Cocaine Exposure Results in Formation of Dendritic Varicosity in Rat Primary Hippocampal NeuronsHonghong Yao, Crystal Bethel-Brown, Shilpa BuchCorrection to: American Journal of Infectious Diseases http://doi.org/10.3844/ajidsp.2009.26.30, published online 2009; updated 08 February 2021 The authors have recently noticed that the representative image of MAP2 immunostaining in the control group in Figure 3A was incorrectly chosen. This error was inadvertently caused during the assembly of the images due to our negligence in the process of reformatting our manuscript. Original … …American Journal of Infectious Diseases, Vol. 17, Issue 1 · 8 Feb 2021 · 6,416 accessesView PDF Cite

Research ArticleOpen accessIn the author namesMotion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video CodingShilpa P. Metkar, Sanjay N. TalbarProblem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,326 accessesView PDF Cite

Research ArticleOpen accessIn the author namesCocaine Exposure Results in Formation of Dendritic Varicosity in Rat Primary Hippocampal NeuronsHonghong Yao, Crystal Bethel-Brown, Anil Kumar, Shilpa BuchProblem statement: It has been well documented that drugs of abuse such as cocaine can cause enhanced progression of HIV-Associated Neuropathological Disorders (HAND), the underlying mechanisms mediating these effects remain poorly understood. Approach: In present study, we explored the impact of cocaine exposure (I and 10 μM) on the dendritic beading in rat primary hippocampal neurons. Using the approach of … …American Journal of Infectious Diseases, Vol. 5, Issue 1 · 31 Mar 2009 · 7,889 accessesView PDF Cite

Research ArticleOpen accessIn the author namesCocaine: A Catalyst for Human Immunodeficiency Virus-Associated DementiaNavneet K. Dhillon, Milind Gadgil, Andy Rahardja et al.Injection drug use has been recognized as a major risk factor for AIDS from the outset of the epidemic. Cocaine, one of the most widely abused drugs in the United States can both impair the functions of macrophages and CD4+ lymphocytes and also activate HIV-1 expression in these cells. Cocaine is a multifactorial agent that acts globally to impair the … …American Journal of Infectious Diseases, Vol. 4, Issue 2 · 30 Jun 2008 · 7,587 accessesView PDF Cite

Research ArticleOpen accessIn the author namesExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDF Cite