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548 results for “ExPEC”

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Research ArticleOpen accessIn the keywordsTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,435 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPersian Curve Versus Monte Carlo MethodAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranThe Monte Carlo Simulation method is a powerfultool for solving problems including random variables. The basic idea toimplement a Monte Carlo simulation is to first generate samples of randominputs from their assumed distributionfunctions and then perform a deterministic calculation on the generated randominputs, based on mathematical modeling of the system, to obtain output results.An early version of Monte Carlo simulation … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 6 Jul 2021 · 8,304 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReduction of Microbial Contamination of Outlet Waste in Urban Wastewater Treatment PlantsSona Pazdar, Saeid Eslamian, Hossein Gholami, Kaveh Ostad-Ali-AskariThe available research was managed to monitor the physicochemical and microbiological features of treatment plants. The wastewater treatment herb sewage is a straight pollution input source for anthropogenic pollution. The sediment information ideas to an urban drainage trench as a secondary point pollution source while the organotins information highlights the presence of other spread sources, special to this material. wastewater … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 18 Sep 2019 · 7,612 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Extended Semi-Parametric Accelerated Failure Time Cure Model for Partial Cure Information KnownYu Wu, Yong Lin, Shou-En Lu et al.Cure model is a useful model for analyzing failure time data when there is evidence of long-term survivors. In traditional cure models, it is assumed that the cured or uncured status in the censored set cannot be distinguished. However, in many occasions, data of some diagnostic procedures, with some sensitivity and specificity, may have provided partial information about the cured … …Current Research in Biostatistics, Vol. 8, Issue 1 · 11 Dec 2018 · 7,622 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBayesian Approach to the Estimation of a Poisson Mean with Application to NBA Three Point AttemptsPatricia Pepple WilliamsonBayesian Credible Intervals are proposed for a Poisson mean. These intervals are compared to five classical confidence intervals found in the literature. A simulation study is performed to compare the procedures using two different criteria and it is attempted to determine which of the procedures performs best for various values of the parameter and sample size. Estimation of the number … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 12 Nov 2018 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,120 accessesView PDFCite
Research ArticleOpen accessIn the keywordsECONOMIC AND PERFORMANCE EVALUATION OF STOCHASTIC MODEL ON A BASE TRANSCEIVER SYSTEM CONSIDERING VARIOUS OPERATIONAL MODES AND CATASTROPHIC FAILURESRajeev Kumar, Sunny KapoorIn this study a stochastic model for a Base Transceiver System (BTS) is proposed that consists of various hardware and software components. A Base Transceiver System (BTS) may undergoes four modes during its operation viz normal, congestion, down and failure mode. The hardware and software components may have various types of major and minor faults. The occurrence of a minor … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 22 Jul 2013 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInvestigating Individuals' Intention to be Involved in Knowledge Management ProcessM. J.M. Razi, N. S.A. KarimProblem statement: Implementation of Knowledge Management (KM) process in organizations is considered as essential to be competitive in the present competitive world. Though the modern KM practices highly depend on technology, individuals (‘organizational members’) intention to be involved in KM process plays a major role in the success. Hence, the evaluation of individuals’ intention is deemed as significant before the … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 15 Sep 2011 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,915 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDividend Maximization in the Cramer-Lundberg Model using Homotopy Analysis MethodJuma Kasozi, Fred Mayambala, Charles Wilson MaheraProblem statement: We used the Homotopy Analysis Method (HAM) to numerically compute the value function of the dividend payment in the basic insurance process. Approach: The process is a constant income stream from premiums which is subtracted a claim process of the Poisson type. Further, an allowance for payment of dividends to share holders was incorporated. Results: The case when … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,024 accessesView PDFCite