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389 results for “Prediction Model”
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Research ArticleOpen accessPhrase in the titleA Two-Dimensional Wave Prediction Model Along the Best Track of Typhoon Linda 1997Worachat Wannawong, Usa W. Humphries, Prungchan Wongwises et al.Problem statement: A two-dimensional wave prediction model along the best track of Typhoon Linda 1997 was interested to study the impact of typhoon wind-wave characteristics. The dynamical wave model with deep water condition was used to predict the wave height (Hs) of Typhoon Linda before and after entering into the Gulf of Thailand (GoT). Approach: The standard one-way nested grid … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,244 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIdentification of Instabilities of the Chip Formation and It's Prediction Model During End Milling of Medium Carbon Steel (S45C)Md. Anayet U Patwari, A. K.M. Nurul Amin, Waleed FarisProblem statement: Chip shape and size varied widely in machining operations. Undesirable chip formation had a detrimental effect on surface finish, work-piece accuracy, chatter and tool life. Approach: This study included the findings of an experimental study on the instabilities of the chip formation and development of a mathematical model based on statistical approach for the prediction of the instability … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 8,353 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePower Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K. A. Abou-El-HosseinThis study discussed the development of the first and second order power prediction model for milling 618 stainless steel with coated carbides cutting tool. The first and second order model has been developed by using response surface methodology with 4 factors. The surface methodology has been analysis by using statistical software Minitab. From the model the equation that relates the … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,085 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Note on “Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools”Godfrey C. OnwuboluAn article published in this journal by Sahin and Motorcu[1] developed a surface roughness model based on the response surface method, multiplicative-logarithmically linearized approach for determination of the cutting parameters in turning of AISI 1040 carbon steel. Their published results for the surface roughness show that it appears Sahin and Motorcu[1] have obtained wrong constants (C, m, n, p), thereby … …American Journal of Applied Sciences, Vol. 2, Issue 6 · 30 Jun 2005 · 7,248 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSTRATEGY PATTERNS PREDICTION MODELAram Baruch Gonzalez Perez, Jorge Adolfo Ramirez UrestiMulti-agent systems are broadly known for being able to simulate real-life situations which require the interaction and cooperation of individuals. Opponent modeling can be used along with multi-agent systems to model complex situations such as competitions like soccer games. In this study, a model for predicting opponent moves based on their target is presented. The model is composed by an … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,854 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStill Image Compression Using Texture and Non Texture Prediction ModelG. Mohanbaabu, P. RenugaProblem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Non-texture images prophecy has been a key factor … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,303 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePrediction Model of Leaf Area in Soybean (Glycine max L.)Mohammad Nabi Ilkaee, Farzad Paknejad, Mohsen Zavareh et al.Abstract: Problem statement: Measure of leaf area by means of leaf area Meter is very expensive and difficult. Hence obtain of one simple model for calculate of leaf area in soybean (Glycine Max L.) is very necessary. Approach: In order to develop a suitable simple model for calculation of leaf area by means of leaf length and width, a Randomized … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 31 Jan 2011 · 8,672 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleForce Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K A. Abou-El-HosseinThis paper describes the development of a response model (cutting force) for milling 618 stainless steel utilizing response surface methodology. The cutting force model is developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force contours have been generated from these model equations and are shown of different plots. The model generated show that … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 6,697 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSurface Roughness Prediction Model in Machining of Carbon Steel by PCD Coated Cutting ToolsYusuf Sahin, A. Riza MotorcuThe surface roughness model in the turning of AISI 1040 carbon steel was developed in terms of cutting speed, feed rate and depth of cut using response surface methodology. Machining tests were carried out using PVD-coated tools under different cutting conditions. The surface roughness equations of cutting tools when machining the carbon steels were achieved by using the experimental data. … …American Journal of Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2004 · 7,964 accessesView PDFCite