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58 articles for “high-level models”
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Research ArticleOpen accessIn the abstractPerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemi-Probabilistic Calibration of a Partial Material Safety Factor for Structural Silicone Adhesives - Part II: Verification ConceptMichael A. Kraus, Michael DrassThis paper deals with the application of the semi-probabilistic design concept (level I) to structural silicone sealants where a generally valid verification concept is proposed. The verification concept deals with the classification of silicone adhesive joints into cavitation-insensitive and cavitation-sensitive adhesive joints and at the same time advises which class of material models is necessary for the categorized adhesive joint … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 10 Jan 2020 · 11,275 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
EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing the Effects of Water and Agriculture Policy Strategies: An Iranian experienceReza Moghaddasi, Ali Bakhshi, Mahmood Daneshvar KakhkiProblem statement: Because of growing demand for water resources, increasing cost of supplying water and overdraft of underground waters, economists suggest water pricing policy to improve water allocation efficiency in Iran. While due to political risk, economic and cultural concerns, government tends to reject that advice. This study addressed questions of what policy alternatives to water pricing could be used … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,308 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel-Driven Framework for Evaluating Learning Outcomes ProcessMohammad Alhaj, Ashraf SharahEvaluating learning outcomes in academic institution can be complex and challenging. Several quantitative and qualitative assessment approaches have been adopted to enhance the process of managing, measuring and visualizing the learning outcomes. The difficulty of implementing and analyzing the evaluation process is mainly caused by the nature of the raw data used in assessment. The data is usually unstructured, complex, … …Journal of Computer Science, Vol. 16, Issue 7 · 23 Jul 2020 · 6,880 accessesView PDFCite
Research ArticleOpen accessIn the abstractPath Loss Measurements for Wireless Communication in Urban and Rural EnvironmentsYahia Zakaria, Jiri Hosek, Jiri MisurecPath loss models are useful planning tools that allow the designers of wireless communication networks to achieve optimal levels for the base station deployment and meeting the expected service level requirements. In this study various propagation models (COST 231 Walfisch-Ikegami W-I, Ericsson and Stanford University Interim SUI) are analyzed and compared with the measurements. The measured data were taken in … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 16 Apr 2015 · 7,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntological Framework for Object-Oriented Analysis and DesignPrabodha Tilakaratna, Jayantha RajapakseRegardless of the large number of Object-Oriented (OO) modeling languages currently being used in the Information Systems (IS) modeling process, unavailability of an OO modeling language that can be used in both the analysis and design phases disintegrates the two phases. The problem is, such disintegration can lead to a high level of missing information in the real world system … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 3 · 14 Sep 2012 · 8,086 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,246 accessesView PDFCite