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20 results for “Decision Matrix”
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Research ArticleOpen accessIn the abstractPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractUSING COLUMN GENERATION TECHNIQUE TO ESTIMATE PROBABILITY STATISTICS IN TRANSITION MATRIX OF LARGE SCALE MARKOV CHAIN WITH LEAST ABSOLUTE DEVIATION CRITERIAWanida Lerspipatthananon, Peerayuth CharnsethikulThe Least Absolute Deviation (LAD) method is the one of many methods used to estimate transition probability matrix of Markov Chain. It can be formulated as a Linear Programming Problem (LP) and solved using its regular state of the art software. However, when the Markov Chain has a large number of states and historical state probabilities data, the corresponding LP … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 23 Sep 2014 · 7,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on the Decision Model for Self-Production and Outsourcing Choices under Limited Production CapacityYu-Teng Chang, Chih-Yao LoProblem statement: In the face of competitive environments with uncertain demands and a trend toward High-Mix, Low-Volume (HMLV) production, self-production or direct outsourcing has troubled decision-makers of enterprise for a long time. In the previous studies, not much has been written about the topic. Approach: Therefore, this study applies the Analytic Hierarchy Process (AHP) to investigate the topic through either … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 25 May 2011 · 7,141 accessesView PDFCite
Research ArticleOpen accessIn the abstractFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractSynthesis of a Robust Multiobserver for the Estimation of Unknown Inputs Using the Piecewise Quadratic FunctionsElyes Maherzi, Mongi Besbes, Sami Zemmel, Radhi MhiriProblem statement: The estimation of states and the unknown inputs of a nonlinear system described by a multimodel are done by a multiobserver. The stabilization of the multiobserver calls upon uses both quadratic and no quadratic functions of Lyapunov. Although the stabilization using the quadratic approach is interesting from the point of view implementation, the step showed its limits for … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractScreening of Industrial Development Policies, Plans and Programs of Strategic Environmental Assessment in the Industrial Sector of IranJ. Nouri, B. Maghsoudlou KamaliThe present investigation deals with the quality of capacity building and institutional strengthening of Strategic Environmental Assessment (SEA) in the industrial sector as well as determining the environmental strategies for industrial sustainable development in Iran. The leading aim of this paper has been to systematize the environmental considerations in industrial development strategies, policies, plans and programs in the highest strategic … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 7,133 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Erosion Hotspot Area using GIS and MCE Technique for Koga Watershed in the Upper Blue Nile Basin, EthiopiaTewodros T. Assefa, Manoj K. Jha, Seifu A Tilahun et al.Soil erosion is a serious threat in Ethiopian highlands. Continuous land degradation resulted in loss of fertile top soil leading to low agricultural productivity. In addition, excessive soil erosion from Koga Watershed in upper catchment to an artificial reservoir (Koga Dam reservoir) is substantially reducing its service life. Community participatory based effective watershed management strategies may have tremendous potential to … …American Journal of Environmental Sciences, Vol. 11, Issue 4 · 10 Sep 2015 · 9,147 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computable General Equilibrium Model of Southern Region in Taiwan: The Impact of the Tainan Science-Based Industrial ParkChun-Chu Liu, Chia-Yon ChenThe primary modeling tools used to analyze regional economic issues include econometric forecasting models, fixed price Input-Output (I-O) multi-sector models, Social Accounting Matrix (SAM) and Computable General Equilibrium (CGE) models. CGE models combine the advantages of econometric, I-O models and SAM strengthening the theoretical basis of the modeling effort and thus enabling more precise policy analysis. The current CGE literature … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,210 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordData Mining: A Preprocessing EngineLuai A. Shalabi, Zyad Shaaban, Basel KasasbehThis study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 34,390 accessesView PDFCite