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304 articles for “Extreme”
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Research ArticleOpen accessEvery word in the titleRandom Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, MalaysiaDorothy Anak Martin Atok, Soo See Chai, Kok Luong Goh et al.Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms by applying Bayesian Hyperparameter Optimization (BayesOpt). Penang Island, a region in Malaysia prone to frequent landslides, was chosen as the study area. Ten Landslide Conditioning Factors (LCFs), including elevation, slope angle, … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 3,103 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Optimized Extreme Learning Machine (GA-OELM) for DDoS Attack Detection in Cloud EnvironmentMeryem Ec-Sabery, Adil Ben Abbou, Abdelali Boushaba et al.The widespread adoption of cloud computing has increased the attack surface and raised significant security concerns. A Distributed Denial of Service (DDoS) is a serious attack that depletes the network and server resources in cloud computing, causing service downtime or reduced performance. Therefore, defending against DDoS attacks becomes an urgent need. In this present paper, we propose an Optimized Extreme … …Journal of Computer Science, Vol. 21, Issue 1 · 19 Dec 2024 · 5,033 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHRIS Development Using Extreme Programming Approach to Increase Competitiveness in Society 5.0Glisina Dwinoor Rembulan, Evaristus Didik Madyatmadja, Johanes Fernandes Andry et al.The increasing use of information technology since the Industrial Revolution 4.0 has encouraged Human Resources (HR) to adapt to progress. The Society 5.0 era emerged as an anticipation of the issue of disruption due to the Industrial Revolution 4.0 which will degrade human resources. The large amount of HR information that must be managed gives rise to new problems, namely … …Journal of Computer Science, Vol. 20, Issue 11 · 7 Oct 2024 · 5,186 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFusion of Features and Extreme Learning Machine for Facial Expression RecognitionBayezid Islam, Arfat HossainHuman emotion is highly correlated to facial expressions. Due to its growing demand in different sectors, an emotion recognition method is proposed through recognizing facial expressions. The input image is preprocessed and then the resulting image is segmented into four facial expression regions following the newly proposed segmentation method. Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are … …Journal of Computer Science, Vol. 15, Issue 12 · 28 Dec 2019 · 7,404 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical Modeling of Temperature Extremes Behaviour in GhanaTwumasi-Ankrah Sampson, Nyantakyi Agyei KwadwoThis paper focuses on modeling the extreme maximum temperature in Ghana using the extreme value theory. This is to inform decision-makers to help them plan appropriate risk mitigating measures to reduce the damage caused by drought. The block maxima with Generalized Extreme Value (GEV) and the General Pareto (GP) (with “all excesses” and decluster peaks) were used on 113 years … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 10 Jan 2019 · 7,117 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTrend Analysis of Some Indices of Extreme Rainfall EventsOlumuyiwa Idowu Ojo, Femi Dakaye, Masengo Francois IlungaClimate change events results in increased temperature, changing rainfall patterns, floods and droughts. These will not only affect human but also affect how environment responds to the events. In this study, analyses of the trend change of 10 indices of Extreme Rainfall Events were carried in three stations of middle belt of Nigeria namely Jos, Lokoja and Makurdi using the … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 1 Jan 2018 · 7,865 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIDENTIFICATION AND CHARACTERIZATION OF EXTREME RAINFALLS DISTRIBUTION IN MALANG RESIDENCEAmran, Iriawan Nur, Subiono, IrhamahExtreme rainfalls often occur everywhere just in a moment, very difficult to be anticipated and produce very detrimental impact to the environment and human society. Floods and landslides are influenced by high variability of extreme rainfalls, especially in the watershed area for floods and the hills as well as mountains for landslides, such as in Malang Residence, East Java, Indonesia … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 30 Nov 2013 · 6,768 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModified Ratio-Type Estimators of the Mean using Extreme Ranked Set SamplingAmer Ibrahim Al-Omari, Khalifa Jaber, Ahmad Al-OmariModified ratio-type estimators of the population mean were suggested using the first or third quartiles of the auxiliary variable based on Simple Random Sampling (SRS) and Extreme Ranked Set Sampling (ERSS) methods. It was found that, the ERSS was more efficient than the SRS based on the same sample size. Also, the ERSS involving the first quartile was superior to … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 7,362 accessesView PDFCite