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143 results for “Support Value”

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Research ArticleOpen accessIn the abstractAssociation of Remdesivir with Poor Clinical Outcomes in COVID-19-A Single Center ExperienceRajat Ranka, Arjun, Prasan Kumar Panda et al.The need for an antiviral against COVID-19 prompted clinical trials worldwide and based on initial promising trends, remdesivir was widely used, including in India (compassionate use). Subsequent trials have been conflicting in their results and the utility of the drug has been widely debated. This is a record-based retrospective cohort study in a 1000-bedded government teaching hospital in North India. … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 3 Jun 2022 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractMaternal and Fetal Outcome of COVID Positive Antenatal Women Treated With Tocilizumab in a Tertiary Care Center an Observational Cohort StudyJaimie T Jacob, S Lakshmi Vinodh, Aravind R et al.Tocilizumab, an IL-6 receptor inhibitor, halts the inflammatory stage of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. However, there is little information on Tocilizumab's effects on antenatal women and new born. This study aims to assess the effects of Tocilizumab in treating antenatal women with severe COVID infection. To assess and compare the maternal and fetal outcomes of COVID … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 14 Sep 2026 · 660 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Changes in Forage Vegetation for Saiga (Saiga Tatarica) On Natural Pastures in The Steppe Zone of the West Kazakhstan RegionAmanay Myrzabayev, Zhanbolat Ibraibekov, Zhangeldi Ussenov et al.This study investigates the impact of recent climate changes and reduced anthropogenic pressure on the vegetation cover in the steppe regions of Russia and Kazakhstan, particularly focusing on the effects on saiga (Saiga tatarica) populations. By the late 1990s, a significant shift towards the dominance of grasses and the reduction of herbaceous plants in semi-arid and arid regions was observed, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 7 Feb 2026 · 1,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning TechniquesAshu Goyal, Anuj Gupta, Sharad Kumar et al.Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient churn prediction model that combines state-of-the-art machine learning with ensemble learning to maximize customer retention. With the IBM Telco Customer Churn dataset, several baseline models, including Gradient Boosting, AdaBoost, Logistic Regression, Random Forest, and Support … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 3,173 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaLucky Christopher Chen, Nurcahyo Wibowo, Ditdit Nugeraha UtamaFood crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region’s agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 6,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaDitdit Nugeraha Utama, Alvali Zaqi Taufan, Al Ghifari Hartzani et al.Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractIrrigation 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 abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 632 accessesView PDFCite