Research ArticleOpen accessPhrase in the titleThe Impact of Radio Propagation Models on Ad Hoc Networks PerformancesA. Rhattoy, A. ZatniProblem statement: Wireless networks are characterized by a dynamic topology triggered by the nodes mobility. Thus, the wireless multi-hops connection and the channel do not have determinist behaviour such as: Interference or multiple paths. Moreover, the nodes’ invisibility makes the wireless channel difficult to detect. This wireless networks’ behaviour should be scrutinized. Approach: In our study, we mainly focus on … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 6,848 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePerformance Evaluation of Channel Propagation Models and Developed Model for Mobile CommunicationYahia ZakariaPropagation models represent a solidifying of mathematical equations and algorithms that are used for radio signal propagation prediction in specific regions. In this research different propagation models are analyzed and compared. These propagation models have been proposed at the operating frequency of 3.8 GHz for different transmitter antenna heights in all types of terrain. These propagation models depend on location, … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 25 Feb 2017 · 8,409 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOV19-Dijkstra: A COVID-19 Propagation Model Based on Dijkstra’s AlgorithmArnaud Watusadisi Mavakala, Wilfried Yves Hamilton Adoni, Najib Ben Aoun et al.The presence of the coronavirus, known as COVID-19, has prompted several researchers to study the mode of spread and the different defense mechanisms of the virus. As a reminder, obtaining a vaccine, for which much research is being conducted around the world, is a long and expensive process and it is unlikely that the pandemic can be treated in time. … …Journal of Computer Science, Vol. 19, Issue 1 · 5 Jan 2023 · 6,606 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimizing Software Effort Estimation Models Using Back-Propagation Versus Radial Base Function NetworksAbdel Karim BaarehSoftware development effort estimation becomes a very important and vital tool for many researchers in different fields. Software estimation used in controlling, organizing and achieving projects in the required time and cost to avoid the financial punishments due to the time delay and other different circumstances that may happen. Good project cost estimation will lead to project success and reduce … …Journal of Computer Science, Vol. 15, Issue 3 · 11 Mar 2019 · 7,464 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling of Piezoelectric Actuators Based on Bayesian Regularization Back Propagation Neural NetworkWen Wang, Zhu Zhu, Yanding Wei, Zichen ChenProblem statement: Piezoelectric actuator is a kind of key driving components for micropositioning stages, micropumps, micro valves, micro gripper and so on in the fields of micro/nano technology such as integrated circuit manufacturing, precision instruments, ultra precision fabrication, biomedical manipulation. It has lots of advantages including high stiffness, fast response times, less heat generating, low power consumption and large force … …Current Research in Nanotechnology, Vol. 1, Issue 1 · 15 Jun 2011 · 7,059 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors MethodWikaria Gazali, Haryono Soeparno, Ngarap Im ManikClassification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,370 accessesView PDFCite
Research NotesOpen accessIn the keywordsTurbulent-Fluid-Based Simulation of Dynamic Liquefaction Using Large Deformation Analysis of Solid PhaseRohollah TaslimianTo accurately simulate the cyclic liquefaction phenomenon, it is necessary to establish a well-defined coupling between the solid particles and the high-velocity percolating pore fluid. For this purpose, the existing literature extensively examines large deformation liquefaction analyses for the solid phase, regardless of the fluid flow nonlinearity. On the other hand, the transient fluid pressure gradient governed by the turbulence … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 22 Feb 2024 · 6,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting 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 · 6,882 accessesView PDFCite