62 articles for “mean of means”

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Research ArticleOpen accessEvery word in the titleImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsUsing the Spreadsheet to Understand Random Sampling Procedures in Relation to the Central Limit TheoremRamzi Naim NasserIn many statistics courses in colleges and universities, random sampling has not been presented to students through a hands-on and practical approach. This research described a real-life method to random sampling was used as an exercise in the statistics class. The method allowed students to recursively select 5, 10, 20, 30, 40, 50, 60 and 70 samples and list these … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 6,977 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsSurface Electromyography-Based Facial Expression Recognition in Bi-Polar ConfigurationMahyar Hamedi, Sh-Hussain Salleh, Tan Tian Swee, KamarulafizamProblem statement: Facial expression recognition has been improved recently and it has become a significant issue in diagnostic and medical fields, particularly in the areas of assistive technology and rehabilitation. Apart from their usefulness, there are some problems in their applications like peripheral conditions, lightening, contrast and quality of video and images. Approach: Facial Action Coding System (FACS) and some … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 9,943 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,792 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPrediction of Physicochemical Parameters in a Rainwater Harvesting and Treatment System Modeled Using the Yahtun Algorithm in Native Communities of Northern PeruEli Morales-Rojas, Edwin Adolfo Díaz Ortiz, José Emmanuel Cruz de La Cruz et al.The inhabitants of the native communities of northern Peru do not have drinking water systems, generating serious health impacts. In this sense, rainwater harvesting systems have become an alternative for these areas. Therefore, the objective of this study was to predict the physicochemical parameters in a rainwater collection and treatment system, modeled by means of a novel “Yahtun” algorithm. The … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 13 Feb 2025 · 5,149 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSupplementation with Different Concentrations of Dithiothreitol and Glutathione During Cryopreservation of Semen from Large White BoarsMahlatsana Ramaesela Ledwaba, Masindi Lottus Mphaphathi et al.The study aims to compare different concentrations (0, 2.5, 5, 7.5 and 10 mM) of antioxidants, Dithiothreitol (DTT) and Glutathione (GSH), on sperm parameters following the freeze-thawing of semen from large white boars. Three large white boars were selected for semen collection and the collected semen was sent to the lab for analysis. Following dilution with Beltsville thawing solution and … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 3 Jun 2024 · 5,517 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGlobal Test for Superiority and Non-Inferiority Trials with Functional Endpoints DataArsene Brunelle Sandie, Jules Brice Tchatchueng-Mbougua, Anthony WanjoyaThe global two-sided test for functional means difference got much attention in the literary works. While the global one-sided test for functional means difference has not been studied. However, that could have some applications and implications for longitudinal trials or trials with functional data outcomes. This work introduced superiority and noninferiority hypothesis tests for functional data outcomes, which were viewed … …Current Research in Biostatistics, Vol. 9, Issue 1 · 8 Jul 2019 · 12,656 accessesView PDF Cite