144 results for “support measure”

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Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClassify Breast Cancer Patients using Hybrid Data-Mining TechniquesFaris E. Mohammed, Nadia Smaoui Zghal, Dalinda Ben Aissa, Mostafa Mahmoud El-GayarAccording to the World Health Organization (WHO), breast cancer is a disease that leads to death, especially for women who have neglected or ignored the risk factors. Doctors can classify patients according to clinical information, famous disease symptoms, or similar cases. But, some cases are difficult to detect early or diagnose accurately. Therefore, the most important challenge faced by researchers … …Journal of Computer Science, Vol. 18, Issue 4 · 12 May 2022 · 6,526 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDo Personal Strengths and Weaknesses Impact Subjective Well-being of Elderly?Nurhayati Mohamad, Khadijah Alavi, Mohd Suhaimi Mohamad et al.Everyone gets affected by the challenges of aging, but personal strengths and weaknesses of elderly people influence their well-being the most. The current study is designed to measure the impact of personal strengths (intergenerational social support and self-esteem) and weakness (loneliness) on Subjective Well-Being (SWB) of Malaysian institutionalized elders. A cross-sectional survey design is employed to arrive at the random … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 15 Jan 2017 · 7,708 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer DatasetOlufunke Oladipupo, Oluwole Olajide, Stephen Adubi et al.In the literature, several methods explored to analyze breast cancer dataset have failed to sufficiently handle quantitative attribute sharp boundary problem to resolve inter and intra uncertainties in breast cancer dataset analysis. In this study an Interval Type-2 fuzzy association rule mining approach is proposed for pattern discovery in breast cancer dataset. In the first part of this analysis, the … …Journal of Computer Science, Vol. 17, Issue 3 · 6 Apr 2021 · 7,164 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWind Load Effects on Manufactured Home FoundationsRamesh K. Dhungana, Taher M. Abu-Lebdeh, Ellie H. FiniProblem statement: Manufactured homes are susceptible to hurricane damage. Each year, significant losses, in terms of fatalities and property damage, are reported. There is always a prevalent concern about lateral load resistance capacity of tie-down system of manufactured homes when subjected to windstorms. This study is performed to determine the effects of hurricane wind on manufactured homes’ foundations. Approach: A … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 25 Jan 2012 · 8,329 accessesView PDF Cite

Research ArticleOpen accessIn the abstractExtending the Technology Acceptance Model to Account for Social Influence, Trust and Integration for Pervasive Computing Environment: A Case Study in University IndustryFarahwahida Mohd, Faudzi Ahmad, Norsila Samsudin, Suhizaz SudinProblem statement: The aims of this study are to develop ubiquitous computing environment using Bluetooth (UCEB) and measure the validity and reliability on in order to support student admission services in University Industry Selangor (UNISEL). Approach: This study is based on the descriptive survey research using revised Technology Acceptance Model (TAM), known as Pervasive Technology Acceptance Model (PTAM). Results: This … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 3 Nov 2011 · 7,888 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEvaluating E-Learning Systems Using E-Traceability SystemsSalah HammamiProblem statement: Electronic learning (e-learning) System is an ideal example of these modern learning options. It provides reliable, convenient and easily accessible environment of learning. Since the e-learning is now growing in King Saud University, this new learning approach has to be evaluated and monitored to measure the efficiency and ultimately improves its productivity. The monitoring of the e-learning applications … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,561 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Effect of Technology Transfer Factors on Performance: An Empirical Study of Libyan Petroleum IndustryA. S. Mohamed, S. M. Sapuan, M.M.H. Megat Ahmad et al.Problem statement: In Libya, like most petroleum producing countries, attempts began to develop the petroleum industry through several frames of Technology Transfer (TT). The realization of TT is progressively more forecasted with a starting point of essential factors mainly government support, Knowledge base, environment, Willingness to learn and anticipated to rely more on these factors further in the future. Approach: … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,341 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMulti-Phase Support Vector Regression Soft Sensor for Online Product Quality Prediction in Glutamate Fermentation ProcessRongjian Zheng, Feng PanGlutamate fermentation is inherently nonlinear, multi-phase and an aerobic fermentation process. As long measurement delays and expensive apparatus cost, on-line measurement of the product concentration is not necessarily available. The present fermentation process monitoring and quality prediction involve manual interpretation of highly informative, however, the concentrations of substrates, biomass and products are only low frequency off-line measurements. In this paper, … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 2 · 6 Jun 2017 · 8,067 accessesView PDF Cite