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Research ArticleOpen accessIn the abstractEstablishment and Evaluation of the Vegetative Community in A Surface Flow Constructed Wetland Treating Industrial Park ContaminantsC.C. Galbrand, A.M. Snow, A.E. Ghaly, R. CôtéA surface flow constructed wetland, designed to curve in a kidney shape in order to increase the length to width ratio to 5:1 was used to treat runoff from an industrial park. A natural wetland system located approximately 200 m downstream of the constructed wetland was selected to act as the vegetative community model for the constructed wetland. The selected … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 1 · 31 Mar 2008 · 7,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Approaches for Predicting Break Indices in Mandarin Speech SynthesisShao Yan-qiu, Zhao Yong-zhen, Han Ji-qing, Liu TingThis study adopts a large-scale corpus with five-tier break indices annotated according to C-TOBI. Based on it, several approaches, N-gram, Markov model and decision tree learning are applied to predict break indices automatically for unrestricted mandarin text. These approaches differ mutually not only in model, but also on features and even part-of-speech tag size. A deep comparison and analysis among … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,211 accessesView PDFCite
Research ArticleOpen accessIn the abstractAntibiogram-Derived Radial Decision Trees: An Innovative Approach to Susceptibility Data DisplayRocco J. Perla, Paul P. BelliveauHospital antibiograms (ABGMs) are often presented in the form of large 2-factor (single organism vs. single antimicrobial) tables. Presenting susceptibility data in this fashion, although of value, does have limitations relative to drug resistant subpopulations. As the crisis of antimicrobial drug-resistance continues to escalate globally, clinicians need (1) to have access to susceptibility data that, for isolates resistant to first-line … …American Journal of Infectious Diseases, Vol. 1, Issue 2 · 30 Jun 2005 · 6,502 accessesView PDFCite
Research ArticleOpen accessIn the abstractMORINGA TEA BLOCKS ACUTE LUNG INFLAMMATION INDUCED BY SWINE CONFINEMENT DUST THROUGH A MECHANISM INVOLVING TNF-α EXPRESSION, C-JUN N-TERMINAL KINASE ACTIVATION AND NEUTROPHIL REGULATIONMykea Mcknight, Jabria Allen, Jenora T. Waterman et al.Plant based products represent a promising alternative to conventional treatments for inflammation. Moringa oleifera Lam is a tree rich in proteins, vitamins, minerals and a variety of phytochemcals with health benefits. Among the reported health benefits are antioxidant and anti-inflammatory properties. The purpose of this study was to investigate whether tea brewed from dried Moringa leaves would abrogate inflammation in … …American Journal of Immunology, Vol. 10, Issue 2 · 8 May 2014 · 11,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractReconfigurable Hardware Architecture for Network Intrusion Detection SystemA. Kaleel Rahuman, G. AthishaIntrusion rule processing in reconfigurable hardware enables intrusion detection and prevention. The use of reconfigurable hardware for network security applications has great strides as Field Programmable Gate Array (FPGA) devices have provided larger and faster resources. This proposes architecture called “BV-TCAM” is presented, which is implemented for an FPGA-based Network Intrusion Detection Systems (NIDS). The BV-TCAM architecture combines the Ternary … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 16 Aug 2012 · 6,981 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,082 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,967 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCommon Modeling Language for Model CheckersPathiah Abdul Samat, Abdullah Mohd ZinProblem statement: There are many different model checkers that have been developed. Each of the model checkers is based on different input languages and they are suitable for model checking different types of systems. Thus it is important for us to choose the right model checker or modeling and verifying a given system. However, moving from one model checker to … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 8,343 accessesView PDFCite