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318 results for “accurate method”
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Research ArticleOpen accessIn the abstractEnsemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation SystemIsmail Ahmed Al-Qasem Al-Hadi, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Norwati MustaphaThe rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, some rating scores are misplaced from its appropriate cell in the rating matrix which also decrease the quality of the prediction. The singular value decomposition algorithm predicts the unknown rating scores … …Journal of Computer Science, Vol. 12, Issue 6 · 25 Jun 2016 · 7,701 accessesView PDFCite
Review ArticleOpen accessIn the abstractLivestock Hydatid Disease (Cystic Hydatidosis) in Libya: A ReviewMohamed M. Ibrahem, Wafa M. Ibrahem, Mostafa M. Abdorrahem, Kawther M. IbrahemCystic hydatid disease is an infection caused by the larval stage of a cestode parasite called Echinococcus granulosus. Hydatid cysts are one of the major parasitic infections in Libya that causes many health problems to human and responsible for economic losses because of the condemnation of the slaughtered animals infected viscera as well as reducing the quality and quantity of … …American Journal of Animal and Veterinary Sciences, Vol. 11, Issue 2 · 31 May 2016 · 8,472 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo Simple Yet Effective Strategies for Avoiding Over-Smoothing in SFS ProblemMonica Carfagni, Rocco Furferi, Lapo Governi et al.Minimization techniques are widely used for retrieving a 3D surface starting from a single shaded image i.e., for solving the shape from shading problem. Such techniques are based on the assumption that expected surface to be retrieved coincides with the one that minimize a properly developed functional, consisting of several contributions. Among the possible contributes defining the functional, the so … …Journal of Computer Science, Vol. 12, Issue 3 · 20 Apr 2016 · 8,122 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDFCite
Research ArticleOpen accessIn the abstractBIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA MarkersSarika Jaiswal, Sandeep Kumar Dhanda, M. A. Iquebal et al.Domestic cow, Bos taurus is one of the important species selected by humans for various traits, viz. milk yield, meat quality, draft ability, resistance to disease and pests and social and religious reasons. Since cattle domestication from Neolithic (8,000-10,000 years ago) today the population has reached 1.5 billion and further it’s likely to be 2.6 billion by 2050. High magnitude … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 23 Jan 2016 · 9,310 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review of Flood Risk Analysis in NigeriaAkinola Adesuji Komolafe, Suleiman Abdul-Azeez Adegboyega, Francis Omowonuola AkinluyiNigeria has witnessed diverse flood events in the past years and due to the high level of vulnerability and lack of coping capacity of the people, with the fast occurrence of extreme events resulting from climate change, many lives and properties are at risk of its impacts. This paper reviews the recent past and present efforts in assessing the flood … …American Journal of Environmental Sciences, Vol. 11, Issue 3 · 12 Sep 2015 · 10,800 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOverview of Influence Factors on Corneal Thickness MeasurementPengtuo Xiao, Shurong Wang, Xin Liu et al.Corneal thickness is an important parameter of the structure of an eyeball. Prior to cornea refractive surgery, the measurement of corneal thickness has been given general importance. With the development of measuring instruments, the measurement of corneal thickness is safer, more accurate and more comfortable. In this study, common clinical measuring methods and their influencing factors are discussed. …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 8 Jun 2015 · 7,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractOSCILLATORY SYNTHETIC BIOLOGICAL SYSTEM CONSTRUCTION USING INTERACTIVE EVOLUTIONARY COMPUTATIONSQuang Huy Dinh, Nasimul Noman, Hitoshi IbaIn this study, we propose an Interactive Evolutionary Computation system to design gene networks for synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of gene networks. Wet laboratories typically design gene networks through trial and error methods, which makes the construction of complex networks difficult. As a solution, automation can significantly improve the … …Journal of Computer Science, Vol. 10, Issue 12 · 14 Jan 2015 · 8,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractTRAFFIC CONTROLLED-DEDICATED SHORT RANGE COMMUNICATION: A SECURE COMMUNICATION USING TRAFFIC CONTROLLED DEDICATED SHORT RANGE COMMUNICATION MODEL IN VEHICULAR AD HOC NETWORKS FOR SAFETY RELATED SERVICESK. Chandramohan, P. KamalakkannanTo increase the road safety and secure communication among the vehicles in the network environment, Dedicated Short Range Communication (DSRC) is followed. Nowadays, research over DSRC is dramatically increased for enhancing the road safety applications. The main task of DSRC is to protect the vehicles by communicating the warning message regarding the vehicle changing conditions, traffic occurrence and dangers over … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractARABIC PART OF SPEECH TAGGING USING K-NEAREST NEIGHBOUR AND NAIVE BAYES CLASSIFIERS COMBINATIONRund Mahafdah, Nazlia Omar, Omaia Al-OmariPart Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Currently, it … …Journal of Computer Science, Vol. 10, Issue 9 · 2 May 2014 · 7,578 accessesView PDFCite