Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

212 results for “Regular”
Set a search alert
Research ArticleOpen accessEvery word in the titleDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,659 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Regularity of the Solutions to the Cauchy Problem for the Quasilinear Second-Order Parabolic Partial Differential EquationsMykola YaremenkoThis article is dedicated to expanding our comprehension of the regularity of the solutions to the Cauchy problem for the quasilinear second-order parabolic partial differential equations under fair general conditions on the nonlinear perturbations. In this paper have been obtained that the sequence of the weak solutions uz ∈ V1,02, z = 1,2,..... to the Cauchy problems for the Equations … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 2 Jun 2020 · 7,282 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMagnum Opus: Clustered Regularly Interspaced Short Palindromic Repeats Biology and Prokaryotic Gene SilencingPrem Saran Tirumalai, Ashim Kumar BagchiGene Silencing was a technology that was established in eukaryotic system a decade ago and is being used as a research tool widely. However, prokaryotic gene silencing was not workable, till recently a team of researchers from the University of Georgia have proved it possible. Where they have shown that short motif sequences determines the targets of the prokaryotic Clustered … …American Journal of Immunology, Vol. 9, Issue 4 · 5 Oct 2013 · 7,144 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function PointsK. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala PuriIt is a well known fact that at the beginning of any project, the software industry needs to know, how much will it cost to develop and what would be the time required ? . This paper examines the potential of using a neural network model for estimating the lines of code, once the functional requirements are known. Using the … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 30,191 accessesView PDFCite
InvestigationOpen accessEvery word in the titleRegularities of the Oxidative Stress Processes in Case of Bleedings from Acute and Chronic Ulcers of the Stomach and DuodenumEkaterina Vladimirovna Silina, Mukimdjon Ahmadzhonovich Sobirovz, Sergey Brankovich Bolevich, Victor Aleksandrovich StupinThe main aim of the study was to determine ways of improving the results of treating patients with ulcer bleeding of various nature and severity. It was provided by the system study of free radical processes and evaluation of the effectiveness of timely antioxidant therapy. Material and methods. The study included 153 patients aged 18-94 years with acute and chronic … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 4 May 2018 · 7,416 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRange Image Segmentation by Randomized Region Growing and Bayesian Edge RegularizationSmaine Mazouzi, Mohamed BatoucheWe presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized region growing technique. The produced segmentation was considered as a degraded version of the ideal segmentation, which should be then refined. In the second stage, image pixels not labeled in the first stage … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,924 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Architectural Irregularities on the Seismic Behavior of BuildingsSara Mostafa Karra, Iman Hajal, Youmn Al Rawi, Aya DiabCooperation between the architect and the civil engineer has nowadays become essential in any project for the client’s requests’ sake. This study was made to show this idea’s importance and beneficial consequences. For this purpose, a 40-story dual-system high-rise building has been designed to resist moderate seismic and high wind loads. Three main models were formed: Starting with the net … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 24 Apr 2021 · 6,779 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForest Fires and Resuspension of Radionuclides into the AtmosphereFernando P. Carvalho, Joao M. Oliveira, Margarida MaltaProblem statement: Forest fires are especially frequent around the Mediterranean Sea basin in the summer period and might be able to release naturally-occurring and man-made radionuclides from plant biomass and inject them into the atmosphere. The impact of this radioactivity on populations was not investigated before. Approach: Radionuclide analysis was performed in plants, in smoke from plant burning and in … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 14 Jan 2012 · 7,352 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Convergence Theorem for Bivariate Exponential Dispersion ModelsLila Ricci, Gabriela BoggioMultivariate exponential dispersion models (MEDMs) were defined in 2013 by Jørgensen and Martínez. A particular case of MEDM is the bivariate Gamma model; in this article we prove that, under certain conditions, this is a limit distribution for MEDM generated by bivariate regularly varying measures, extending a previous result given by the aforementioned authors for the univariate case. As necessary … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 25 Jul 2019 · 6,582 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite