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775 results for “3D Modeling”
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Research ArticleOpen accessEvery word in the titleHeat-Modeling of Microwave Assisted Epoxidation of Palm Acid OilN. Saifuddin, L. Wei Zhan, K. Xin NingProblem statement: While microwave chemistry could well be the most convenient, rapid and energy-saving way to initiate a chemical reaction, the issues of thermal versus microwave specific effect remain unaddressed. Approach: A three-dimensional Finite Element Model (FEM) was developed to predict temperature profile during the enzymatic epoxidation of palm acid oil using microwave heating. Three-dimensional partial differential equations are formulated … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,678 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNumerical Modeling of Flow in a Horizontal Sand FilterRuth Mossad, Hal AralProblem statement: Horizontal sand filters may offer some advantage over vertical sand filters as they could be used for in-line treatment of wastewaters. Horizontal pipelines of tens and if not hundreds of meters length, filled with ordinary sand or permeable reactive media such as activated carbon or natural zeolite or iron filings, may be used to remove impurities from mine … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling and Forecasting Volatility of the Malaysian Stock MarketsAhmed Shamiri, Zaidi IsaProblem statement: One of the main purposes of modeling variance is forecasting, which is crucial in many areas of finance. Despite the burgeoning interest in and evaluation of volatility forecasts, a clear consensus on witch volatility model/or distribution specification to use has not yet been reached. Therefore, the out of-sample forecasting ability should be a natural model selection criterion for … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,906 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,550 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBehavioral Modeling: an OverviewRoman V. YampolskiyThis exploratory paper begins with an overview of a multidisciplinary problem of behavior modeling and correlation of different behaviors. It looks at many possible applications of such technology and proposes some novel directions for future research. From the security point of view the paper proposes and explores some novel behavioral biometrics and research paths as well as some universal descriptors … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 7,429 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,080 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,573 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUPLC-Q-Exactive Orbitrap-MS Analysis of Anchusa italica Retz. Flowers: Molecular Docking, Dynamics Modeling, and Pharmacokinetics for Cardiovascular DiseaseLinyang Wang, Yan Chen, Ainiwaer Aikemu, Shuge TianThis study builds on prior UPLC-Q-Exactive Orbit rap-MS analyses of Anchusa italica Retz. Flowers (Airfs) to explore their anti-cardiovascular mechanis·ms and key bioactive markers. UPLC-Q-Exactive Orbitrap-MS identified 30 major compounds, including polyphenols and flavonoids with strong antioxidant activity. The potential active ingredients were then screened using Lipinski's rule of five, and a network pharmacology method was employed to construct an … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Oct 2025 · 2,601 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,745 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWATElizabeth Brooke Haney, Richard Lee Haney, Jeffrey George Arnold et al.Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 11 Apr 2016 · 7,232 accessesView PDFCite