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137 results for “Sampling Effect”
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Research ArticleOpen accessIn the keywordsRestoration of Biodiversity and EcosystemIgnacio Santa-Regina, M. C. Santa-ReginaSuccession is one of the most studied processes in ecology and succession theory provides strong predictability. However, few attempts have been made to influence the course of succession thereby testing the hypothesis that the passage of one stage is essential to enter a next one. At each stage of succession ecosystem processes may be affected by the diversity of species … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 10 Mar 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomers Perceptions to Accept the Islamic Credit Card (ICC) in BangladeshMd. Shariful Haque, A. M. Shahabuddin, Mohammad Emdad Hossain et al.The survey study is conducted to measure knowledge of ICC, attitude towards ICC, perceived usefulness of ICC and its shariah compliance to ICC factor with the demographic variables that influence the acceptance of ICC. In the study, opinion from 400 respondents is collected on a five-point Likert scale by survey questionnaire method in purposeful sampling in randomized block design via … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 27 Nov 2023 · 5,732 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Background Knowledge and Random Sampling in Genetic Programming: A Case Study in Learning Boolean Parity FunctionsLappoon R. TangThe Boolean even-N-parity function returns T (i.e., true) if an even number of its Boolean arguments for N arguments are T and otherwise returns NIL (i.e., false). Learning Boolean even-N-parity functions has been recognized as a difficult problem for evolutionary computation (such as genetic programming) especially when N is large (e.g., 20+). A number of approaches have been proposed for … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 5,489 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial NetworkAnitha Premkumar, Sowmya Vemagal Lakshminarayana, Shankar Rajagopal et al.Big data Processing and the IoT have recently gained popularity as study topics in MEC and thorough research is sought for well-informed decisions. Mobile edge equipment, such as base stations, routers, and edge servers, usually have limited processing capabilities compared to traditional data centers. According to this perspective, this research constructs MEC using Intelligent Outlier Detection with a Multidimensional Generative … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractChallenges and Opportunities of Growing Performance of Online Animal Selling in Bangladesh During COVID-19 SituationMd. Shahnur Azad Chowdhury, Md. Shahidul Islam, A. M. Shahabuddin et al.Online animal transaction has become a popular growing technique in the COVID-19 pandemic situation in Bangladesh. The purpose of the study is to evaluate the function of physical, socio-religious, and marketing challenges that accelerated online animal selling in the pandemic situation. Using stratified random sampling in randomized block design, a response to a survey questionnaire has been collected from 200 … …Journal of Computer Science, Vol. 18, Issue 6 · 1 Jul 2022 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing a Hierarchical Weibull model to Predict Failure Strength of Different Glass Edge ProfilesDavid Thomas Kinsella, Johan LindströmThe edge strength of glass is analyzed using a Weibull statistical framework based on 78 data samples from a range of experiments recorded in literature. Based on the analysis, a 45 MPa strength value (computed as the lower bound in a one-sided confidence interval at the 75% level for the 5-percentile in the distribution) could be conservatively used with arrised, … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 30 Apr 2020 · 8,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Decreasing Temperature on Soil Microbial Activity in a Boreal Shield EcozoneAlistar Moy, Kabwe NkongoloAlthough the focus on warming is imperative to address climate change, addressing the effects of cooling is arguably just as relevant in characterizing the enzyme response to temperature fluctuations. In this study, the response of enzyme activity to diminishing temperatures in the field was evaluated. The targeted sites were located in the City of Greater Sudbury in Northern Ontario, Canada. … …American Journal of Environmental Sciences, Vol. 18, Issue 2 · 17 Apr 2022 · 6,665 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Pattern of Varroa Mite Infestation and Its Impact on Honey Production in Apis mellifera Beekeeping in Chitwan, NepalSujan Amgai, Kedar DevkotaHoneybee colony health and productivity are severely affected by infestations of Varroa mites, which have become one of the most significant threats to apiculture due to their role in colony weakening, reduced productivity, and increased colony losses worldwide. The study was conducted in Chitwan district to assess beekeepers’ perceptions on mite infestation in different seasons, its effect on honey production, … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 14 Aug 2026 · 1,245 accessesView PDFCite