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39 articles for “S. Priya”
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Research ArticleOpen accessIn the author namesA Cross-Layered Path Stability Based Routing Protocol for WiMAX NetworksM. Deva Priya, M. L. ValarmathiIn IEEE 802.16, a Subscriber Station (SS) is battery powered with limited capacity. A SS can be made to operate for longer durations by deploying power saving features or by using relay stations. Multi-hop communication conserves power, but finding an optimal path to the destination is monotonous. Path stability indicates how stable a path is and how long it can … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 9 Sep 2013 · 6,673 accessesView PDFCite
Research ArticleOpen accessIn the author namesApplication of Newton Raphson Algorithm for Optimizing Transmission Control Protocol PerformanceJ. Viji Priya, S. SuppiahWireless networks are growing rapidly. TCP is the most widely-used protocol on Internet and so optimizing TCP performance is very important for fast efficient data transfer. The different existing TCP variants and solutions they have not been analyzed together to identify the bottlenecks in wireless networks. TCP has a major problem in its congestion control algorithm which does not allow … …Journal of Computer Science, Vol. 9, Issue 5 · 20 May 2013 · 6,302 accessesView PDFCite
Research ArticleOpen accessIn the author namesDetection of Occluded Face Image using Mean Based Weight Matrix and Support Vector MachineG. Nirmala Priya, R. S.D. Wahida BanuProblem statement: Face occlusion is a very challenging problem in face recognition. The performance of face recognition system decreases drastically due to the presence of partial occlusion on the face. Extracting discriminative features to achieve accurate detection versus computational overhead in extracting the features, which affects the classification speed, would be a sustained problem. The objective of this study is … …Journal of Computer Science, Vol. 8, Issue 7 · 5 Jul 2012 · 7,043 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Cross-sectional Study of Sexual Practices, Sexually Transmitted Infections and Human Immunodeficiency Virus among Male-to-Female Transgender PeopleP.S. Saravanamurthy, P. Rajendran, Priya Maria Miranda et al.Problem statement: Designing HIV interventions requires evidence on links between behaviors and elevated transmission risk that remains scanty for male-to-female Transgender (TG) people in India. Approach: In 2007, we carried out a cross-sectional study through convenience sampling of 131 TG aged > 18years, residing in Chennai at least prior to six months of the study. Sexual practices and perception towards … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 8,370 accessesView PDFCite
Research ArticleOpen accessIn the author namesHand Gesture Recognition for Human-Computer InteractionS. Mohamed Mansoor Roomi, R. Jyothi Priya, H. JayalakshmiProblem statement: With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of hands can be used as an input device for providing natural interaction. Approach: In this study, Gaussian Mixture Model (GMM) was used to … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,311 accessesView PDFCite
Research ArticleOpen accessIn the author namesOptimized Movie Recommendation Using Hybrid Jaccard-Based K-Means Clustering Using Apache SparkShiba Prasad Dash, Rajesh Kumar Sahoo, Ram Chandra Barik et al.The need for recommendations specific to each person's interests is growing every day, making recommendation systems increasingly important in people's lives. Researchers have paid close attention to the rapid expansion of e-commerce businesses and online video streaming services like Hotstar, YouTube, and Netflix. The collaborative filtering-based RS system aims to suggest such films or videos to users based on their … …Journal of Computer Science, Vol. 22, Issue 9 · 23 Sep 2026 · 602 accessesView PDFCite
Research ArticleOpen accessIn the author namesBurden of Early Pregnancy and Reach of Cash Incentive Scheme for Promoting Institutional Delivery in IndiaAnjali Srivastava, Priyanka Ribhu, Purujit PraharajThe burdenof early pregnancy and high out-of-pocket costs necessitate the use ofinstitutional care, qualified medical staff, and financial incentives to boostthe quality of maternal health services. In response, the Indian governmentintroduced the Janani Suraksha Yojana (JSY) scheme in2005, which offers cashtransfers to underprivileged women using public health facilities for childdelivery. Using the data from the National Family Health Survey-5 and … …Journal of Social Sciences, Vol. 21, Issue 1 · 5 Jun 2025 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the author namesIntelliHealth: A Machine Learning Driven Disease Detectionand Diet recommendation SystemAnkita Wadhwan, Priyanka Chawla, Sandeep Kaur, Usha MittalPeople all around the world are afflicted with various ailments. An accurate diagnosis can lower the risk of significant health problems developing, but an inaccurate diagnosis could have adverse implications. In this study, an ensemble-based strategy "IntelliHealth" has been presented to identify disorders of the thyroid, liver, and breast cancer using three machine learning (ML) approaches consisting of Support Vector … …Journal of Computer Science, Vol. 21, Issue 6 · 28 May 2025 · 5,226 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification of X-Ray Images Using Convolutional Neural Network and Automatic Hyper-Parameter Selection to Detect Tuberculosis (TB)Biswaranjan Debata, Rojalina Priyadarshini, Sudhir Kumar Mohapatra, Tarikwa Tesfa BedaneTuberculosis (TB) is a major public health issue in India, contributing significantly to the global burden of respiratory diseases. This study introduces a Convolutional Neural Network (CNN)--based model for the early and cost-effective detection of TB using chest X-ray images. The proposed model, featuring 13 layers and automated hyperparameter selection, classifies images as infected or not infected. It is evaluated … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the author namesGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite