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

99 results for “generalization”
Set a search alert
Research ArticleOpen accessEvery word in the titleMulti Directional Geographical Traceback with n Directions GeneralizationS. Karthik, V. P. Arunachalam, T. RavichandranProblem Statement: Denial of Service/Distributed Denial of Service (DoS/DDoS) attacks deny regular, internet services from being accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Approach: Several traceback schemes were available to mitigate these attacks. Directional geographical traceback8 (DGT8), directional geographical trackback scheme, with 8 directions was one … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,010 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGeneralization of Banach Contraction Principle in Two DirectionsE. El-Shobaky, Sahar Mohamed Ali, Montaser Saudi AliWe showed that the generalized contraction mapping defined on a closed convex subset of a weakly Cauchy normed space has a unique fixed point. Moreover, the sequence of iterates of any element in the domain of the given mapping is converging strongly to the fixed point of such a mapping. …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,761 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Generalization of the Frobenius Method for Ordinary Differential Equations with Regular Singular PointsJung-Hua Chou, Raylin WuThe conventional Frobenius method for second order differential equations with regular singular points is extended to differential equations of higher and lower orders. The conditions of a point being regular singular are addressed. It is also shown that Cauchy-Euler differential equations are a special case of ordinary differential equations with regular singular points. …Journal of Mathematics and Statistics, Vol. 1, Issue 1 · 31 Mar 2005 · 7,540 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,581 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,913 accessesView PDFCite
EditorialOpen accessIn the keywordsVaccination Against Heart Attack?Joachim Storsberg, Mark A. Brown, Christian SchmidtA detailed look into the published record reveals that some of the arguments were derived from generalizations of observed results across different studies. The lynchpin of such attempts lies in an understanding of underlying phenomena in order to provide a reasoned justification for such sweeping generalities. Here, we highlight selected areas where the published record does not speak with one … …American Journal of Immunology, Vol. 12, Issue 3 · 22 Aug 2016 · 6,688 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Survey of Data Anonymization Techniques for Privacy-Preserving Mining in BigdataHelen Wilfred Raj, Santhi BalachandranBigdata era is seeing the data burst occurring in a multitude of angles that are better expressed in terms of the 4Vs (Volume, Velocity, Velocity, Veracity). While trying to infer information from data, care should be exercised as not to reveal the identity of the data owner, which breaches the privacy rights. Leakage of information can happen right from the … …Journal of Computer Science, Vol. 16, Issue 2 · 31 Dec 2019 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNearly Partial Derivations on Banach Ternary AlgebrasM. Eshaghi, M. B. Savadkouhi, M. Bidkham et al.Problem statement: In this study, we introduce the concept of a partial ternary derivation from A1 ×···× An into B, where A1, A2···, An and B are ternary algebras. Conclusion/Recommendations: We prove the generalized Hyers-Ulam stability of partial ternary derivations in Banach ternary algebras. …Journal of Computer Science, Vol. 6, Issue 4 · 31 Dec 2010 · 7,060 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Evolution Strategy for the Induction of Fuzzy Finite-state AutomataMozhiwen, WanminThis study presents an evolution strategy used to infer fuzzy finite-state automata from examples of a fuzzy language. We describe the fitness function of an generated automata with respect to a set of examples of a fuzzy language, the representation of the transition of the automata as well as the output of the states in the evolution strategy and the … …Journal of Mathematics and Statistics, Vol. 2, Issue 2 · 30 Jun 2006 · 6,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite