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43 articles for “L. Kaur”
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Research ArticleOpen accessEvery word in the titleImmunomodulatory and Antioxidant Properties of Kaurenoic Acid on Macrophages of BALB/c in VitroJuliana Aparecida Macri, Suelen Santos da Silva, Milena Menegazzo Miranda et al.Kaurenoic acid has been displaying anti-inflammatory effect described in different models. However, the per se immunomodulatory effects of kaurenoic acid remain to be investigated. Thus, the immunomodulatory and antioxidant effects of kaurenoic acid were investigated in vitro on peritoneal macrophages from BALB/c mice. Kaurenoic acid induced per se the production of pro-inflammatory cytokines such as TNFα, IL-1β and IFN-γ while … …American Journal of Immunology, Vol. 10, Issue 4 · 16 Feb 2015 · 7,883 accessesView PDFCite
Review ArticleOpen accessIn the author namesA Comprehensive Review of Post-Quantum Cryptography AlgorithmsSamandeep Kaur, Jaswinder SinghThe development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript is a complete and thoroughly organized review of Post-Quantum Cryptography (PQC), discussing the mathematical concepts, complexity, and mechanisms of the algorithms that underpin quantum-safe security infrastructures. Rather than the principles of quantum mechanics, the … …Journal of Computer Science, Vol. 22, Issue 9 · 25 Sep 2026 · 723 accessesView PDFCite
Research ArticleOpen accessIn the author namesIdentification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media NetworksRajnish Kumar, Laxmi Ahuja, Suman Mann, Sanmukh KaurThe amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving behavior of the applied dataset. Node and leaf topology or feature-based value form the basis for machine learning and centrality computation. Hence, influential node value determination is based on the node … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,830 accessesView PDFCite
Review ArticleOpen accessIn the author namesWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 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 namesComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite
Review ArticleOpen accessIn the author namesSocial Media Usage and its Implications on Mental Health a ReviewPuneet Kaur, Deepika Chaudhary, Jaiteg SinghWith more homes, businesses, and people having access to the Internet recently, the usage of social media and social networking websites has expanded significantly. Multiple social media platforms are available and more people from the public, companies, non-profits, and other groups are utilizing them. Therefore, online engagement is now a common aspect of daily life for a population of billions … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 8,106 accessesView PDFCite
Review ArticleOpen accessIn the author namesData Mining the Adoption Trends: A Bibliometric Analysis of Online Learning in Higher Education (2000-2023)Nirmaljeet Kaur Virk, Syed Ahmed Salman, Amiya BhaumikOver the past two decades, online learning in higher education has developed dramatically, becoming a widespread phenomenon significantly influencing teaching and learning strategies. To further encourage its development, monitoring the research frontiers and gaining insights into the progress of related research is crucial. In this pursuit, the present research used VOS viewer to conduct a bibliometric study on the 661 … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,836 accessesView PDFCite
Research ArticleOpen accessIn the author namesPerformance Analysis of Garbage Classification Using Balanced and Unbalanced Dataset with EfficientNetV2B1 ArchitectureRetinderdeep Singh, Chander Prabha, Ayman Noor et al.This research concentrates on EfficientNetV2B1 deep learning model to classify garbage collection tasks, with both balanced and unbalanced dataset configurations. The dataset includes 7,260 images for the balanced dataset and 15,515 for the unbalanced one, both of the datasets are used to train and evaluate the model. Training and evaluation of the deep learning model with the standard performance variables: … …Journal of Computer Science, Vol. 20, Issue 10 · 27 Aug 2024 · 5,091 accessesView PDFCite
Research ArticleOpen accessIn the author namesMinimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of ServiceAnuradha, Tarun Gulati, Rajbhupinder Kaur et al.IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operations (sense, transmit, re-transmit, data aggregation, etc.). These operations are managed by the different layers (M.A.C., routing and PHY). Each layer consumes resources W.R.T. their operations and there is a need to manage the … …Journal of Computer Science, Vol. 20, Issue 10 · 13 Aug 2024 · 4,976 accessesView PDFCite