28 articles for “Predictive Optimization”

Research ArticleOpen accessIn the abstractModel Predictive Approach to Precision Contouring Control for Feed Drive SystemsM.A. El Khalick, N. UchyiamaProblem statement: High precision machining requires high capability of multi-axis feed drive systems to follow specified contour accurately. Although each feed drive axis is controlled independently in many industrial applications such as X-Y tables and Computer Numerical Control (CNC) machines, machining precision is evaluated by error components orthogonal to desired contour curve. Contouring controller design is required for precision machining, … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,309 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPredictive Autonomicity of Web Services in the MAWeS FrameworkEmilio P. Mancini, Massimiliano Rak, Roberto Torella, Umberto VillanoIn Web Services designs classical optimization techniques are not applicable. A possible solution to guarantee critical requirements is the use of an autonomic architecture, able to auto-configure and to auto-tune. This study presents MAWeS (MetaPL/HeSSE Autonomic Web Services), a framework whose aim is to support the development of self-optimizing predictive autonomic systems for Web service architectures. It adopts a simulation-based … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 7,067 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEvaluating Patient Readmission Risk: A Predictive Analytics ApproachAvishek Choudhury, Dr. Christopher M. GreeneWith the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 8,155 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,200 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordOptimization of Barbell Trajectory During The Snatch Lift Technique By Using Optimal Control TheoryShahram Lenjan Nejadian, Mostafa Rostami, Farzad TowhidkhahMathematical modeling and optimizing of snatch lift technique based on dynamic synthesis, is the aim of this study. The barbell trajectory is proposed as the performance index, evaluated experimentally by several researchers who have introduced some optimum trajectories according to the percentage of their owners' successes. Since none of the mechanical parameters were considered into the optimum trajectories, we develop … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 7,716 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordDC Motor Control Predictive ModelsRavinesh Singh, Godfrey C. Onwubolu, Krishnileshwar Singh, Ritnesh RamDC motor speed and position controls are fundamental in vehicles in general and robotics in particular. This study presents a mathematical model for correlating the interactions of some DC motor control parameters such as duty cycle, terminal voltage, frequency and load on some responses such as output current, voltage and speed by means of response surface methodology. For this exercise, … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 7,015 accessesView PDF Cite