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19 articles for “convergence speed”
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Research ArticleOpen accessIn the keywordsImprovement of the Simplified Fast Transversal Filter Type Algorithm for Adaptive FilteringMadjid Arezki, Ahmed Benallal, Daoud BerkaniProblem statement: In this study, we proposed a new algorithm M-SMFTF for adaptive filtering with fast convergence and low complexity. Approach: It was the result of a simplified FTF type algorithm, where the adaptation gain was obtained only from the forward prediction variables and using a new recursive method to compute the likelihood variable. Results: The computational complexity was reduced … …Journal of Computer Science, Vol. 5, Issue 5 · 31 May 2009 · 7,705 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization ProcessSaurabh A. Pahune, Zahid Akhtar, Manoj Chandrasekharan et al.One of the most groundbreaking advances in the field of intelligent automation is the merging of Generative Artificial Intelligence (GenAI) and Robotic Process Automation (RPA). This combination unlocks previously unachievable capabilities in automation. RPA (software bots) improves speed and operational efficiency by automating rule-based tasks, Standard Operating Procedures (SOPs), and repetitive workflows. At the same time, it minimizes manual labor … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Feb 2026 · 2,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Hybrid Encoding Genetic Algorithm on Pickup and Delivery Traveling Salesman Problem with Traffic ConditionsSupat PatvichaichodProblem statement: This study deals with the pickup and delivery traveling salesman problem with traffic conditions (PDTSPTW), an extension of the pickup and delivery traveling salesman problem (PDTSP) where each customer to be served is associated with two quantities of product to be collected and delivered. Almost PDTSP problems uses distance between each point of customers as Euclidean Distance and … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractMobile Ad Hoc Network Security for Reactive Routing Protocol with Node Reputation SchemeA. Suresh, Dr. K. DuraiswamyThe mobile node’s reputation in the Mobile Ad hoc Network (MANET) identifies its trust worthiness for secured multiple data communication. Unknown nature of the node’s communication status for initial period has great impact in the effective data transfer as MANET is self-organized and distributed. Problem statement: The functional operation of the mobile network relies on the trusty cooperation between the … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 6,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Vector Normalized Adaptive Algorithm Applied to Adaptive Noise Canceller and System IdentificationZayed RamadanProblem statement: This study introduced a variable step-size Least Mean-Square (LMS) algorithm in which the step-size is dependent on the Euclidian vector norm of the system output error. The error vector includes the last L values of the error, where L is a parameter to be chosen properly together with other parameters in the proposed algorithm to achieve a trade-off … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractFractal Images Compressing by Estimating the Closest Neighborhood with Using of Schema TheoryMahdi Jampour, Mahdi Yaghoobi, Maryam AshourzadehProblem statement: One of the methods used for compressing images and especially natural images is by benefiting from fractal features of images. Natural images have properties like Self-Similarity that can be used in image compressing. The basic approach in compressing methods is based on the fractal features and searching the best replacement block for the original image. Approach: In this … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,902 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Iterative Frequential Equalization, Application to Mobile CommunicationsM. T. Taba, S. Femmam, M. BeddaThe Space Time Adaptive Processing (STAP) is a promising approach in the improvement of the wireless communication systems. Since it makes possible to reduce interferences ISI (Inter Symbol Interference) and CCI (Co-Channel Interference) but its disadvantage is the intensive treatment which reduces the speed of convergence of the algorithm LMS (Least Mean Square) and SMI (Sampling Matrix Inversion). Our approach … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 6,817 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Monte Carlo Algorithm Using Antithetic Variate and Brownian Bridge Techniques for Pricing the Barrier Options with Rebate PaymentsHasan AlzubaidiThe down-and-out call barrier option with rebate payment on dividend-paying stock is simulated using a new version of the Monte Carlo algorithm. The standard Monte Carlo method for simulating such an option suffers from two sources of errors: Hitting time error inherent from time stepping and the Monte Carlo statistical error. We present a modified version of Monte Carlo method … …Journal of Mathematics and Statistics, Vol. 12, Issue 1 · 22 Feb 2016 · 8,264 accessesView PDFCite