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Research ArticleOpen accessEvery word in the titleDynamic Models for Rigid Memory MechanismsRelly Victoria Virgil PetrescuThe paper presents a dynamic model that works with variable internal damping, applicable directly to rigid memory mechanisms. If the problem of elasticity is generally solved, the problem of system damping is not clear and well-established. It is usually considered a constant "c" value for the internal damping of the system and sometimes the same value c and for the … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 6 May 2019 · 5,983 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Assessment of Analytical models for the ULS Resistance Verification of Structural Glass Elements under Variable LoadsChiara Bedon, Claudio AmadioThe design of glass structures, due to the intrinsic material properties, is mainly governed by the typical tensile brittle behavior of the material. In this regard, a currently open question related to the use of glass in buildings as a load-bearing constructional material, is represented by the correct estimation of static fatigue phenomena due to a generic combination of design … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 16 Mar 2017 · 7,765 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGeneral Linear Models in a Missing Outcome Environment of Clinical Trials Incorporating with Splines for Time-Invariant Continuous AdjustmentMinjeong Park, Dejian Lai, Xianglin L. Du et al.Missing data is a common occurrence in longitudinal studies of health care research. Although many studies have shown the potential usefulness of current missing analyses, e.g., (1) Complete Case (CC) analysis; (2) imputation methods such as Last Observation Carried Forward (LOCF), multiple imputations, Expectation-Maximization algorithm approach; and (3) methods using all available data such as linear mixed model and generalized … …Current Research in Biostatistics, Vol. 5, Issue 1 · 18 Aug 2015 · 7,402 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEVALUATION OF ASEAN MENTAL MODELS PATTERN OF WEB USER-CENTERED INTERFACE DESIGN USING EYE-TRACKING TECHNOLOGYAslina Baharum, Azizah JaafarThis study utilised eye-tracking technology to evaluate the results from the ASEAN mental model pattern of web object locations in a web user-centered interface design. Two experts and four volunteers participated in an eye-tracking experiment. The selected web object locations led to fewer fixations and participants found the target web objects faster. The eye-tracking data showed that users have clear … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 8,536 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIDENTIFICATION OF PERIODIC AUTOREGRESSIVE MOVING-AVERAGE TIME SERIES MODELS WITH RHazem I. El Shekh Ahmed, Raid B. Salha, Diab I. AL-AwarPeriodic autoregressive moving average PARMA process extend the classical autoregressive moving average ARMA process by allowing the parameters to vary with seasons. Model identification is the identification of a possible model based on an available realization, i.e., determining the type of the model with appropriate orders. The Periodic Autocorrelation Function (PeACF) and the Periodic Partial Autocorrelation Function (PePACF) serve as … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 15 Sep 2014 · 12,914 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGeneralized Cauchy's Models and Generalized IntegralsSabra RamadanThe space of generalized complex numbers C* has been constructed. The Cachy's model in the space of new generalized functions is well defined. The generalized integral of new generalized function over the compact K has been defined. …Journal of Mathematics and Statistics, Vol. 3, Issue 1 · 31 Mar 2007 · 6,661 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSome Fast Methods for Fitting Some One-parameter Spatial ModelsR. J. MartinIt is common in geographic modelling to use a one-parameter spatial model to specify the inverse covariance matrix in terms of I-βW, for some known matrix W. Exact Gaussian maximum likelihood estimation of β requires evaluation of the determinant of the covariance matrix. For large data sets, this evaluation of the determinant can be slow and good approximations can be … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,071 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvancing Digital Forgery Detection: A Comparative Analysis of U-Net, Buster Net, Efficient B0+ U-Net, and VGG 16+ U-Net ModelsPreeti Dhiman, Usha ChauhanForgery Detection in the area of digital images is indispensable for insuring authenticity, particularly in detecting Copy-Move, Splicing. In this research, a meticulous analysis of latest learning architectures i.e. U-Net, Buster Net, Efficient B0+U-Net and VGG16+U-Net are compared for the detecting these types of forgeries. U-Net is popular due to its potent segmentation capabilities to provide pixel-level forgery localization while … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 394 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational DataHardik Ishwarbhai Patel, Dharmendra PatelThis study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that comes from outside sources. The collection of information is done using structured questionnaires as well as through data extraction from the Student Information System (SIS). To increase the reliability of models built, a … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,435 accessesView PDFCite