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132 results for “Stochastic”
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Research ArticleOpen accessEvery word in the titleRK4 Differential Equation to improve QoS in an eUTRAN LTE Network: A Deterministic vs. Stochastic ApproachBrou Pacôme, Pandry Ghislain, Bodjré Aka Hugues Félix, Oumtanaga SouleymaneImproving Quality of Service (QoS) in an eUTRAN LTE network is essential to guarantee optimal performance in the face of dynamic variations in user traffic and radio channel interference. In this context, this paper explores the use of 4th-order Runge-Kutta differential equations (RK4) to model and optimize radio resource management, by comparing a deterministic approach, which assumes stable and predictable … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 3 Jul 2025 · 5,877 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrating Stochastic Properties into Traffic Flow Modeling: A Stimulus-Response ApproachKonate N’Golo, Mark Kimathi, Emile DanhoHighway traffic congestion, characterized by its inherent instability, has been extensively studied using deterministic models, providing valuable insights. However, these models often overlook the stochastic nature of driver behavior, a key factor that significantly impacts traffic flow. Recognizing this, a car-following model with discretionary lane changes to analyze their effect on traffic dynamics was introduced. While the mathematical results were … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 19 Dec 2024 · 7,153 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,781 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBi-Stable Vibration Power Generation System Using Electromagnetic Motor and Efficiency Improvement by Stochastic ResonanceWei Zhao, Yoshiro Fujiwara, Jingchao Guan et al.Research on vibration energy harvesting using stochastic resonance has become an important research topic. A vibration energy harvesting system was developed using electromagnetic motors based on an obliquely supported bistable motion model consisting of a spring mass. After formulating the motion-governing equations of the proposed vibrating system and analyzing its potential energy performance, it was demonstrated that the system exhibits … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 2 Aug 2023 · 5,734 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic TradingAldo Taranto, Shahjahan KhanBi-directional Grid Constrained (BGC) Stochastic Processes (BGCSP) become more constrained the further they drift away from the origin or time axis are examined here. As they drift further away from the time axis, then the greater the likelihood of stopping, as if by two hidden reflective barriers. The theory of BGCSP is applied to a trading environment in which long … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 6 Mar 2021 · 8,524 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Implementation of Stochastic Computing Based Deep Neural Network on Low Cost Hardware with Saturation ArithmeticSunny Bodiwala, Nirali NanavatiThis study presents an efficient and rapid implementation of Stochastic Computing (SC) based Deep Neural Network (DNN) on a low-cost hardware platform. The proposed technique uses bipolar signal encoding in stochastic computing which relatively gives low hardware footprint compared to binary computing. Thereinafter, stochastic max function is presented and subsequently used to approximate the hyperbolic tangent activation function in SC. … …Journal of Computer Science, Vol. 16, Issue 11 · 17 Nov 2020 · 6,875 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDrawdown and Drawup of Bi-Directional Grid Constrained Stochastic ProcessesAldo Taranto, Shahjahan KhanThe Grid Trading Problem (GTP) of mathematical finance, used in portfolio loss minimization, generalized dynamic hedging and algorithmic trading, is researched by examining the impact of the drawdown and drawup of discrete random walks and of Itô diffusions on the Bi-Directional Grid Constrained (BGC) stochastic process for profit Pt and equity Et over time. A comprehensive Discrete Difference Equation (DDE) … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 14 Sep 2020 · 9,153 accessesView PDFCite
Technical ReportOpen accessEvery word in the titleComparison of Stochastic and Rule-Based POS Tagging on Malay Online TextKalaiarasi Sonai Muthu Anbananthen, Jaya Kumar Krishnan, Mohd. Shohel Sayeed, Praviny MuniapanExtensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining method is needed. Opinion mining approach uses natural language processing where Part-of-Speech (POS) Tagging is a crucial part. The performance of … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Apr 2017 · 15,120 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA STOCHASTIC FRONTIER APPROACH FOR MEASURING TECHNICAL EFFICIENCY OF SMALL-SCALE IMPROVED SALT PRODUCTION IN GUINEABoubacar Siddighi Balde, Hajime Kobayashi, Makoto Nohmi et al.Salt production is a major driving force behind the loss of mangrove in Guinea. As the traditional salt production causes increasing deforestation, the intensive exploitation of mangrove resources has now reached a critical threshold. Therefore, improved techniques using sunlight as the source of energy has been introduced as an alternative to the traditional salt production techniques which consumes a significant … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 14 May 2014 · 7,641 accessesView PDFCite
Research ArticleOpen accessEvery word in the title3-DIMENSIONAL EAR RECOGNITION BASED ITERATIVE CLOSEST POINT WITH STOCHASTIC CLUSTERING MATCHINGKhamiss Masaoud S. Algabary, Khairuddin Omar, Md Jan NordinEar recognition is a new technology and future trend for personal identification. However, the false detection rate and matching recognition are very challenging due to the ear complex geometry. The Scope of the study is to introduced a combination of Iterative Closest Point (ICP) and Stochastic Clustering Matching (SCM) algorithm for 3D ears matching based on biometrics field with a … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,812 accessesView PDFCite