Research ArticleOpen accessIn the keywordsRETRACTED: Application of Sivasubramanian Kalimuthu Hypothesis to TrianglesM. SivasubramanianAt the request of the Editor-in-Chief, the Journal of Mathematics and Statistics has decided to retract the manuscript titled "Application of Sivasubramanian Kalimuthu Hypothesis to Triangles" authored by M. Sivasubramanian, published in Volume 5, Issue 2 with the page numbering 90-92. The authors have falsified findings and the article contains unsubstantiated claims and was accepted because of an administrative error. … …Journal of Mathematics and Statistics, Vol. 5, Issue 2 · 30 Jun 2009 · 7,650 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRETRACTED: On Algebra and TachyonsM. Sivasubramanian, S. KalimuthuAt the request of the Editor-in-Chief, the Journal of Mathematics and Statistics has decided to retract the manuscript titled "On Algebra and Tachyons" authored by M. Sivasubramanian and S. Kalimuthu, published in Volume 5, Issue 2 with the page numbering 88-89. The authors have falsified findings and the article contains unsubstantiated claims and was accepted because of an administrative error. … …Journal of Mathematics and Statistics, Vol. 5, Issue 2 · 30 Jun 2009 · 7,242 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReal-Time Optimal Control for Rotary Inverted PendulumViroch Sukontanakarn, Manukid ParnichkunProblem statement: The rotary inverted pendulum system was a highly nonlinear model, multivariable and absolutely unstable dynamic system. It was used for testing various design control techniques and in teaching modern control. The objectives of this study were to: (i) Develop a real rotary inverted pendulum which derived the mechanical model by using Euler-Lagrange and (ii) Design controller algorithm for … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Efficiency of Seven-Variable Box-Behnken Experimental Design with Varying Center Runs on Full and Reduced Model TypesMary Paschal Iwundu, Joan CosmosResponse Surface Methodology is widely used in the optimization of industrial processes and products that depend on several experimental variables. One of the most tested and efficient second-order Response Surface Methodology designs is the Box-Behnken Design. This research explores the efficiency of a seven-variable Box-Behnken design with varying center runs, on full and reduced quadratic models. Backward Elimination and Forward … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 8 Dec 2022 · 7,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of the Fermentation Medium of Streptomyces ahygroscopicus ΔnysB, a Tetramycin Producing Strain, by the Response Surface MethodXiao Wang, Yao Dong, Xin Chen et al.Streptomyces ahygroscopicus ΔnysB is a genetically engineered strain that produces tetramycin by blocking the competition nystatin pathway. Response Surface Methodology (RSM) was used to optimize its fermentation medium composition. Taking the yield of tetramycin as the response value, the effects of corn starch, glucose, fish peptone, (NH4)2SO4, KH2PO4, and CH3COONa on the yield of tetramycin were investigated by the Plackett-Burman … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 9 Apr 2024 · 5,327 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