5 results for “ACF”

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Research ArticleOpen accessIn the keywordsTime Series Forecasting by using Seasonal Autoregressive Integrated Moving Average: Subset, Multiplicative or Additive ModelSuhartonoProblem statement: Most of Seasonal Autoregressive Integrated Moving Average (SARIMA) models that used for forecasting seasonal time series are multiplicative SARIMA models. These models assume that there is a significant parameter as a result of multiplication between nonseasonal and seasonal parameters without testing by certain statistical test. Moreover, most popular statistical software such as MINITAB and SPSS only has facility … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 29 Jan 2011 · 18,295 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAn Improved Time Domain Pitch Detection Algorithm for Pathological VoiceMohd Redzuan Jamaludin, Sheikh Hussain Shaikh Salleh, Tan Tian Swee et al.Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection algorithm capable of accurately detect pitch in disordered voices. Approach: The proposed method applies … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,668 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPatterns of Growth and Development of Young Herd Horses of EurasiaKhamit Ablgazinovich Aubakirov, Makpal Temirhanovna Kargayeva, Sayana Darzhaevna Mongush et al.The aim of the research in a comparative aspect is to study the patterns of postembryonic growth and development of the herd horse population of the Republic of Kazakhstan and the Republic of Teva of the Russian Federation. In the Republic of Kazakhstan, the experimental part of the work was carried out in the farms "Urker" of Moyinkum and "Kaldybay" … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 1 · 15 Mar 2022 · 6,582 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,221 accessesView PDF Cite

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 PDF Cite