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Research ArticleOpen accessEvery word in the titleA Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined NetworkingThangaraj E, Dinesh K, Prabhakaran Paulraj et al.Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's responsibility to be divided based on the time duration condition of overload, which resulted in fewer overload events, fewer ping-pong controller issues, and more efficient controllers. However, it has higher controller resource utilization during TSSM working … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,591 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification of Transformed and Geometrically Distorted Images using Convolutional Neural NetworkSanad Aburass, Ammar Huneiti, Mohammad Belal Al-ZoubiConvolutionalNeural Network is a deep learning method that is used in many image-relatedapplications, such as image recognition and classification, it has achievedgreat performance in these fields, but it still suffers from some shortcomings.One of these shortcomings is not being able to be invariant to the input datadue to some image transformations like translation, rotation, scaling, andgeometric distortions such as skewness, … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,145 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Clustering-based Metaheuristic for Physical Internet Supply Chain NetworkAbdelsamad Chouar, Samir Tetouani, Aziz Soulhi, Jamila ElalamiIn this study, a data clustering-driven technique is proposed for a Physical Internet Supply Chain Network (PI-SCN) to reduce data complexity, process time compression, and lankness of process optimization. Given a set of data points, a clustering algorithm aims to classify each data-points into a specific group. Each group should have similar properties and/or features, while data points in different … …Journal of Computer Science, Vol. 18, Issue 4 · 21 Apr 2022 · 6,476 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Depression Levels using Back Propagation Neural NetworkEddy Muntina Dharma, Yaya Heryadi, Lukas et al.Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Network (BPNN) … …Journal of Computer Science, Vol. 18, Issue 3 · 18 Mar 2022 · 6,884 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Q-Routing Protocol Using Self-Aware Approach for Mobile Ad hoc NetworksAmal Alharbi, Abdullah Al-Dhalaan, Miznah Al-RodhaanMobile Ad hoc Networks (MANET) are self-organized networks that are characterized by dynamic topologies in time and space. This creates an instable environment, where classical routing approaches cannot achieve high performance. Thus, adaptive routing is necessary to handle the challenges in MANETs. Furthermore, it is necessary for nodes to be self-aware i.e., able to discover neighbors, links and paths when … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 7 Dec 2015 · 6,468 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmbedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n NetworksArgemiro Bevilacqua, Vitor Chaves de Oliveira, Gunnar Bedicks Jr. et al.IEEE 802.11 standard is largely used anywhere as a cheap way to access internet, but the majority of devices used does not provide a standard way to manage them. Mobile stations competing for access point may causes a general wireless network failure, known as the ''MAC Anomaly''. It is presented here an access point with modified firmware, that monitors wireless … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 21 Nov 2015 · 6,517 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,828 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAPPLYING A HYBRID POLLING APPROACH BY SOFTWARE IMPLEMENTATION TO EXTEND THE LIFETIME OF A WIRELESS SENSOR NETWORKInácio Henrique Yano, Vitor Chaves de Oliveira, Mauricio Becker, Andreiwid Sheffer CorreaWireless Sensor Networks are networks suitable for data collection in harsh environments, where it would be difficult or costly the deployment of wired infrastructure. In spite of these advantages, such networks often rely on batteries to operate, which may lead to a serious limitation on the networks lifetime. Bearing this in mind, in this article is proposed and tested a … …Journal of Computer Science, Vol. 11, Issue 4 · 24 Jul 2015 · 7,020 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleScorpius: sFlow Network Anomaly SimulatorMarcos V.O. de Assis, Mario Lemes Proença Jr.Due to the increasing amount of data traveling computer networks every day, efficient management of this information is required to ensure the quality of the services provided by them. Development of new network management tools and mechanisms is a widely approached area due to its importance, not only to the current technology, but also to next generation network standards and … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 7,534 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Proactive Routing Method for Mobile Ad Hoc NetworksBambrik Ilyas, Didi FedouaIn recent years, the Mobile Ad hoc Networks (MANETs) became more popular due to their multiple advantages such as the low setup cost, auto-configuration and auto-healing features. This kind of network is distinguished by its dynamic and distributed nature since it does not contain any form of centralized infrastructure. These characteristics have led to the emergence of new routing protocols … …American Journal of Applied Sciences, Vol. 12, Issue 6 · 23 Jul 2015 · 6,381 accessesView PDFCite