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153 results for “Correlation Coefficient”
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Research ArticleOpen accessIn the abstractApplication of Time Series Modeling to Study River Water QualityMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater deficit problem originates from two factors: population increase and water pollution. However, studying and forecasting the quality of water are necessary to avoid serious problems in future through managerial works. In present study, using time series modeling, the quality of Madian Rood River is studied at Baraftab station using time series analysis. Nine parameters of water quality are studied … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Apr 2018 · 8,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractCovid-19 Global Spread Analyzer: An ML-Based AttemptRana Husni Al Mahmoud, Eman Omar, Khaled Taha et al.The novel Coronavirus 2019 (COVID-19) has caused a pandemic disease over 200 countries, influencing billions of humans. In this consequence, it is very much essential to the identify factors that correlate with the spread of this virus. The detection of coronavirus spread factors open up new challenges to the research community. Artificial Intelligence (AI) driven methods can be useful to … …Journal of Computer Science, Vol. 16, Issue 9 · 2 Oct 2020 · 6,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimating the Scouring Depth of Bridge Pier Using Self-Organizing Neural Networks (SOM)Abolfazl Rafat, Gholam Abbas Barani, Amineh NaseriScouring is caused as a result of erosion of river bed by water flow and materials carried by water. This research estimates the scouring depth using self-organizing neural network (SOM). The obtained findings were compared with findings of other models. It was found that self- organizing neural network (SOM) has higher correlation coefficient (0.98), compared to other methods. It was … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 27 Nov 2017 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Breeding Seasonality in Rusa Deer (Rusa timorensis) Stags via Serum Testosterone ProfilingWan Nor Fitri Wan Jaafar, Abd Wahid Haron, Rosnina Hj Yusoff et al.Breeding seasonality in mammals is influenced by the environmental changes and the endocrine response of the animals to that changes. Comprehension in breeding seasonality enables better reproductive management consequently maximizing the reproductive potential of the stags. Despite that, the study in breeding seasonality in Rusa deer (Rusa timorensis) is still scarce. Five healthy and matured stags were selected for this … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 1 · 19 Mar 2017 · 8,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractTaxation of End Consumption: Effect on Country Economies and its CharacteristicsRavil Gabdullaevich Akhmadeev, Mikhail Evgenievich Kosov, Olga Alekseevna Bykanova et al.International experience of the largest countries' economies of the last decade demonstrates that the use of Value Added Tax (VAT) in taxation of consumption is used more actively and is gradually squeezing out the sales tax. In most countries of the world VAT ensures between 12 and 30% of stable budget revenues. Taking statistical data selected with the help of … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 18 Mar 2017 · 7,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidation of a Risk Matrix about the Athlete's Oral Health by Analyzing Behavioral and Nutritional HabitsBárbara Capitanio de Souza, Randhall Bruce Carteri, André Luiz Lopes, Bruno Costa TeixeiraThe study proposal was to build a risk matrix on oral health, by analyzing the behavioral and nutritional habits of these individuals and perform your validation. A literature review was carried out to identify risk factors for the oral diseases. The interviewees were 40 volunteer individuals, athletes, professionals or amateurs, or practitioners of physical activity. The validation process consisted of … …Current Research in Dentistry, Vol. 12, Issue 1 · 24 Mar 2021 · 6,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Tree-Ring Chronologies in Coniferous Forests of Southeastern KazakhstanAinur Utebekova, Bagila Maisupova, Bulkair Mambetov et al.The aim of the present research was to study the spatial and temporal patterns in the growth response of spruce to climate change at different altitudes (upper, middle and lower) of mountainous terrain in Southern Kazakhstan. The analysis of the climatic response of the generalized chronologies was carried out by calculating the correlation coefficients (Rs) between the growth indices and … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 5 Feb 2021 · 6,641 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Soils Electrical Resistivity using Artificial Neural Network ApproachKpomonè Komla Apaloo-Bara, Adekunlé Akim Salami, Mawugno Koffi Kodjo et al.The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which takes long time. Therefore, its prediction is important. This study investigates on predicting soil electrical resistivity using Artificial Neural Networks. Nine sites of our city (Lome, TOGO) were considered. After characterization … …American Journal of Applied Sciences, Vol. 16, Issue 2 · 13 Mar 2019 · 9,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross-Language Semantic Similarity of Arabic-English Short Phrases and SentencesSalha AlzahraniMeasuring cross-language semantic similarity between short texts is a task that is challenging in terms of human understanding. This paper addresses this problem by carrying out a study of Arabic–English semantic similarity in short phrases and sentences. Human-rated benchmark dataset was carefully constructed for this research. Dictionary and machine translation techniques were employed to determine the relatedness between the cross-lingual … …Journal of Computer Science, Vol. 12, Issue 1 · 12 Mar 2016 · 7,508 accessesView PDFCite