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Research ArticleOpen accessIn the abstractPattern of Survival and Mortality of Mangrove Populations Grown at Al-Jubail Area (Saudi Arabia) of the Arabian GulfAkram Ali, Ahmed Alfarhan, Ernest Robinson, Ibrahim AldjainThe life table and fecundity schedule were produced for [Avicennia marina (Forsk.) Vierh] populations of four habitat types at Al-Jubail area, KSA. These types are sand mounds, salt flats, shoreline and intertidal sites. Survivorship (lx) was least in sand mounds and similar in all other sites. Age-specific-mortality rates (qx) where parallel in the flower bud, flower, fruiting and seedling stages … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 3 · 30 Sep 2008 · 7,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Tool for Testing of Inheritance Related Bugs in Object Oriented SoftwareB. G. Geetha, V. Palanisamy, K. Duraiswamy, G. SingaravelObject oriented software development different from traditional development products. In object oriented software polymorphism, inheritance, dynamic binding are the important features. An inheritance property is the main feature. The compilers usually detect the syntax oriented errors only. Some of the property errors may be located in the product. Data flow testing is an appropriate testing method for testing program futures. … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligence System for Software Maintenance Severity PredictionParvinder Singh Sandhu, Sunil Kumar, Hardeep SinghThe software industry has been experiencing a software crisis, a difficulty of delivering software within budget, on time, and of good quality. This may happen due to number of defects present in the different modules of the project that may require maintenance. This necessitates the need of predicting maintenance urgency of the particular module in the software. In this paper, … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,941 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Implementation of Re-Sampling Technique for High Performance Multiple Classifier SystemsS. Sathiyabama, K. Thyagarajah, D. AyyamuthukumarDue to the large size of the database, the entire training dataset could not be used to construct the classifiers. One popular solution is to separate stream data into chunks, learn a base classifier from each chunk and then integrate all base classifiers to form Multiple classifier system (MCS). Sometimes this data streams does not include all the classes in … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractGas Turbine Ontology for the Industrial ProcessesF. Z. Laallam, M. SellamiThe activity of supervision and control of the industrial processes is a very complex spot and require a great experiment because of the dynamic characteristics of the process. This experiment was acquired with the passing of years. What makes departure of an expert in retirement a great loss of the know-how. The problem thus consists to capture this know-how and … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel ElectrophoresisGary D. Boetticher, Hisham Al-Mubaid, Karen Frasier-ScottTwo-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis remains the core of proteomic technology because it is currently the most powerful method to analyze large collections of proteins. Advances in electrophoresis equipment are making this technique more accessible but effective computer assisted protein spot detection remains a very labor-intensive endeavor. Protein spot analysis is still time consuming, requires human intervention and … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,675 accessesView PDFCite
Research ArticleOpen accessIn the abstractContamination Risk Evaluation of Groundwater in the Canton of Portoviejo-Ecuador, using Susceptibility Index and two Intrinsic Vulnerability ModelsSuhail SharadqahThe present study aims to investigate the applicability of DRASTIC, GOD and SI models in evaluating the groundwater vulnerability and risk of contamination in the Canton of Portoviejo, Ecuador. The groundwater vulnerability to contamination has been evaluated using DRASTIC and GOD models. Both models were able to classify the study area into different sectors of variable vulnerability. The coincidence of … …American Journal of Environmental Sciences, Vol. 13, Issue 1 · 11 Feb 2017 · 7,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation and Reliability for a Special Type of Semi-Markov ProcessVlad Stefan Barbu, Alex Karagrigoriou, Andreas MakridesThis work deals with multi-state systems modelled by means of semi-Markov processes. The sojourn times are seen to be independent not identically distributed random variables and assumed to belong to one of two different general classes of distributions so that the first class is closed under maxima and the second one is closed under minima. We obtain maximum likelihood estimators … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Oct 2019 · 7,047 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