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227 articles for “Networks Analysis”
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Research ArticleOpen accessEvery word in the titleAnalysis of Hierarchical Diff-EDF Schedulability over Heterogeneous Real-Time Packet NetworksMoutaz Saleh, Zulaiha Ali OthmanPacket networks are currently enabling the integration of traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to the best-effort traffic requiring no guarantees. QoS guarantees can be provided in conventional packet networks by the use of proper packet scheduling algorithms. As a computer revolution, many scheduling algorithms have been proposed to provide … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,530 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDeep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BERKavitha Veerappan, Seetharaman GopalakrishnanRapid evolution of wireless communication technologies and emergence of 5G networks have addressed lack of spectrum resources, highlighting the need for innovative topologies to improve the spectrum utilization. Due to this reason, Cognitive Radio (CR) has evolved as an optimized solution to overcome these difficulties by allowing dynamic spectrum access, thereby reducing the under-usage of available spectrum. Considering this, precise … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,219 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Time-Delayed Neural Networks via Rightmost Eigenvalue PositionsSun Yi, Sangseok Yu, Jung H. Kim, Taher M. Abu-LebdehNeural networks have been frequently used in various areas. In the implementation of the networks, time delays and uncertainty are present and known to lead to complex behaviors, which are hard to predict using classical analysis methods. In this study, stability and robust stability of neural networks considering time delays and parametric uncertainty is studied. For stability analysis, the rightmost … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 26 Jan 2015 · 8,057 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNEURO FUZZY LINK BASED CLASSIFIER FOR THE ANALYSIS OF BEHAVIOR MODELS IN SOCIAL NETWORKSKannan Arputharaj, Ghosh Dalim Kumar, Indira Priya Ponnuvel, Ganapathy SannasiIn this study, a new link based classifier using neuro fuzzy logic has been proposed for analyzing the social behavior based on Weblog dataset. In this system, data are processed using a multistage structure. This system provides a diagnosis using a neuro fuzzy link based classifier that analyses the user’s behavior to specific diagnostic categories based on their cluster category … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,892 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDelay Analysis and System Capacity Control for Mobile WiMAX Relay NetworksAnas F. Bayan, Tat-Chee Wan, Sureswaran RamadassProblem statement: WiMAX relay is an emerging cost effective wireless last mile solution for rural and urban broadband Internet access. Approach: One of the key concerns of WiMAX operators is how many users they can support for an access area where the number of users and the amount of data that can be delivered to the end user depends on … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 7,428 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Use of Artificial Neural Networks in Analysis Cationic Trypsinogen Gene and Hepatitis B Surface AntigenLiu Qicai, Zeng Kai, Zhuang Zehao et al.Problem statement: More and more severe hepatitis cases reported in China are infected with HBV and the immune response of HBV will be reduced if mutations occur in the TCR, therefore it is very important to investigate the relation of T-cellular function and clinical effect by studying the function of T-cell receptor. Approach: Artificial Neural Networks (ANN) was applied to … …American Journal of Immunology, Vol. 5, Issue 2 · 30 Apr 2009 · 7,564 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDynamic Analysis of Structures Using Neural NetworksN. Ahmadi, R. Kamyab Moghadas, A. LavaeiIn the recent years, neural networks are considered as the best candidate for fast approximation with arbitrary accuracy in the time consuming problems. Dynamic analysis of structures against earthquake has the time consuming process. We employed two kinds of neural networks: Generalized Regression neural network (GR) and Back-Propagation Wavenet neural network (BPW), for approximating of dynamic time history response of … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,154 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Load and Routing Protocols on Networks on Chip (NoC): An AnalysisShaily Jain, Chander Prabha, Ayman Noor et al.Communication infrastructure for multi-core Systems-on-Chip (SoCs) is provided by Network-on-Chip (NoC). Point-to-Point (P2P) and bus-based communication systems are NoCs and are two communication channels of NoC that can probably overcome the scalability and performance restrictions of NoC. Latency and throughput are two of the essential characteristic metrics measured for a routing algorithm that affect the performance of a given NoC. … …Journal of Computer Science, Vol. 20, Issue 11 · 29 Aug 2024 · 5,273 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleDeep Learning Approach for Human Action Recognition Using Gated Recurrent Unit Neural Networks and Motion AnalysisNeziha Jaouedi, Noureddine Boujnah, Med Salim BouhlelHuman action recognition is a computer vision task. The evaluation of action recognition algorithms relies on the proper extraction and learning of the data. The success of the deep learning and especially learning layer by layer led to many imposing results in several contexts that include neural network. Here the Recurrent Neural Networks (RNN) with hidden unit has demonstrated advanced … …Journal of Computer Science, Vol. 15, Issue 7 · 29 Jul 2019 · 8,018 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of the Artificial Neural Networks Options Pricing Model Under Constant and Time-Variant VolatilitiesHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiOption pricing using artificial neural networks (ANN) model while relaxing the assumption of constant volatility still remains a challenge. The conventional practice for pure ANN models has been to either model volatility using the very ANN model and have the model output fed as an input to the ANN option pricing model, or to make allowances for a large number … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Jul 2019 · 7,010 accessesView PDFCite