49 results for “Multiple Linear Regression”

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Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDetection of Soil Total Nitrogen, Phosphorus and Potassium Content Based on the Spectral Information of Citrus CanopyLin Yunshuo, Li Zhen, Lv Shilei et al.The content of total nitrogen, phosphorus and potassium in the soil is an important basis for calculating the best fertilization amount and realizing the reasonable fertilization of the orange planting soil in time and accurately. In this research, hyper-spectral technology is applied to detect the three soil nutrient elements in the cultivated soil of citrus trees. Four spectral bands with … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 17 Apr 2020 · 7,805 accessesView PDF Cite

Research ArticleOpen accessIn the abstractQSAR Modeling of Thirty Active Compounds for the Inhibition of the Acetylcholinesterase EnzymeNour El Houda Hammoudi, Yacine Benguerba, Widad SobhiThis work aims at developing a reliable and predictive QSAR model which allows, on one hand, an exploration of the main molecular descriptors responsible for the inhibitory activity towards the Acetylcholinesterase enzyme and, on the other hand, predict the inhibitory activity of new compounds before testing them experimentally. This study involves a series of DL0410 and its 29 DL0410 derivatives. … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 2 Mar 2020 · 11,426 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutomated Evaluation of Short Answers Using Text Similarity for the Portuguese LanguageSilvério Sirotheau, Joao C.A. dos Santos, Eloi L. Favero, Simone N. de FreitasAlong with the development of distance education, emerges the demand for virtual environments as the automated evaluation studies of essays that has already produced promising results. However, when dealing with short answers, replicating the decisions of a human grader is still a challenge, as the portability of essay evaluation techniques to short answers has not produced results with the same … …Journal of Computer Science, Vol. 15, Issue 11 · 21 Nov 2019 · 6,899 accessesView PDF Cite

Research ArticleOpen accessIn the abstractExtended Trigger Terms for Extracting Adverse Drug Reactions in Social Media TextsRami Naim Mohammad Yousef, Sabrina Tiun, Nazlia OmarAdverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. Extracting entities mainly depends on specific terms called trigger terms that may occur before or after ADRs. However, these terms should be extended, especially when examining multiple representation of N-gram. This study … …Journal of Computer Science, Vol. 15, Issue 6 · 29 Jun 2019 · 8,051 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation MethodsAli Zahraei, Saeid Eslamian, Ali Saeidi Rizi et al.The spatial distribution of daily, nightly and mean temperature trend in Iran′s Zayanderud river basin was carried out in this study by applying three approaches of interpolation including Inverse Distance Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical measures including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 26 Jun 2019 · 7,470 accessesView PDF Cite

Research ArticleOpen accessIn the abstractQuantile Regression Estimation Using Non-Crossing ConstraintsIlaria Lucrezia AmeriseIn this article we are concerned with a collection of multiple linear regressions that enable the researcher to gain an impression of the entire conditional distribution of a response variable given a set of explanatory variables. More specifically, we investigate the advantage of using a new method to estimate a bunch of non-crossing quantile regressions hyperplanes. The main tool is … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 15 May 2018 · 7,700 accessesView PDF Cite

EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDF Cite

Research ArticleOpen accessIn the abstractE-loyalty and Business to Business (B2B) E-Commerce Success: Applied Study on Sample of E-Retailers in Amman City, JordanAhed Al-Haraizah, Baha`a Al-NadyThis research paper investigates the antecedents and consequences of customer loyalty in an online business-to-business e-commerce context. Moreover, this research identifies two key factors of e-loyalty (attitudinal and behavioral loyalty) that potentially impact business to business e-commerce success within e-retailers in Amman city. Therefore, the aim of this research paper is to develop a comprehensive research model utilized for discovering … …American Journal of Economics and Business Administration, Vol. 7, Issue 3 · 2 Sep 2015 · 7,872 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,381 accessesView PDF Cite