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181 results for “statistical process”

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Research ArticleOpen accessIn the abstractAnalysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining MethodsJohanes Fernandes Andry, Riama Sibarani, Vlavio Nathanael YeftaFootball clubs store a lot of data about their players, squad, transfer market, and market value, so big data is needed to process this data. This data can be analyzed to gain insight into the club's market value. Changes in player performance, age, and squad size can be analyzed using statistical methods. These digital data will provide information about the … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 5,996 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 accessesView PDFCite
InvestigationOpen accessIn the abstractThe Effect of Adding Zeolite in the Feed of Chickens Cobb 500Angel Roberto Sánchez Quinche, Faviola Margarita Pindo Nagua, Oliverio Napoleón Vargas González et al.The objective of this study was to evaluate the effects of the addition of zeolite on the feeding of Cobb 500 chickens in the productive parameters. The work was carried out in an integral farm of Ecuador, adopting the standards of biosafety and animal welfare for the breeding of poultry; no vaccines or drugs were administered. 200 chickens (1-day old) … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 3 · 25 Sep 2017 · 8,664 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermodynamics, Non-Linear Isotherms, Statistical Modeling and Optimization of Phosphorus Adsorption from WastewaterAkinpelu Kamoru BabayemiPalm Kernel Shell (PKN), an eco-friendly biomass, was carbonized and activated for the removal of phosphorus from wastewater through batch adsorption process. The studies evaluate the effects of pH, particle size, dosage and contact time on the adsorption capacity of the prepared adsorbent. The equilibrium concentration data and the amount of adsorption were described using non-linear regression analysis of the … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 19 Nov 2016 · 7,517 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndustrial Robot Fault Detection Based on Statistical Control ChartAlaa Abdulhady Jaber, Robert BickerIndustrial robots have long been used in production systems in order to improve productivity, quality and safety in automated manufacturing processes. There are significant implications for operator safety in the event of a robot malfunction or failure and an unforeseen robot stoppage due to different reasons has the potential to cause an interruption in the entire production line, resulting in … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 29 Feb 2016 · 8,579 accessesView PDFCite
EditorialOpen accessIn the abstractImpact of Quantitative Pharmacology on Drug DevelopmentAna Ruiz-Garcia, Kourosh ParivarThesuccess of drug development rests over two well defined pillars, a goodunderstanding of the drug’s clinical pharmacology and the appropriate targetpopulation for whom the clinical use is intended. The label for human prescription drugsrequires a good understanding of the pharmacological effects (pharmacodynamicsor PD) and the mechanism of action of the drug as well as detailed informationof the drug’s Pharmacokinetics (PK): … …American Journal of Pharmacology and Toxicology, Vol. 9, Issue 4 · 24 Apr 2015 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombination of Statistical Techniques for Submerged Fermentation for Extracellular Polysaccharide and Biomass of Ganoderma tsugaeNukrob Narkprasom, Jia-Hsin Guo, Tzou-Chi Huang, Yuan-Kuang GuuBiomass and extracellular polysaccharide of Ganoderma tsugae have various biological activity including anti-inflamatory activity, antioxidant activity and antitumor activity. However, the growth rate of G. tsugae in nature is very slow. Therefore, many studies have attempted to develop mass culture systems for G. tsugae using laboratory techniques. Many parameters of submerged fermentation for G. tsugae were studies to determine the … …Current Research in Biostatistics, Vol. 3, Issue 2 · 4 Jul 2014 · 7,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractManagement of Data for Health Performance Measurement in the Industrialized Dairy HerdMogens Agerbo Krogh, Carsten EnevoldsenOne part of dairy herd management is to handle disease occurrence by means of health promotion, disease prevention, timely medical treatments, or eradication of disease. Supporting this part of herd management is an essential task for the cattle veterinarian. The study objective was to identify principles and tools for analysis of herd health data in industrialized dairy herds. The analysis … …American Journal of Animal and Veterinary Sciences, Vol. 7, Issue 4 · 23 Nov 2012 · 8,257 accessesView PDFCite