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56 articles for “stochastic”
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Using Monte Carlo Simulation Approach, Estimation of Stochastic Frontier Production Function and Test of Parameters under Restricted Alternatives
Abstract: The stochastic frontier production function can be used to estimate the technical efficiencies among the firms when all the firms are not technically efficient. In most of the economic problems, prior information about the parameters is known in advance. That is, the sign of the parameters are known, which is also true for the Stochastic Frontier Production. We notice that the existing techniques of estimating the Stochastic Frontier Production Function …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 26–31 Read article
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Stochastic Modelling and Seasonal Artificial Neural Networks for the Prediction of Monthly Rainfall in India
Abstract: Stochastic modelling for the prediction of monthly rainfall levels with machine learning is dealt within this paper.Rainfall is essential for agriculture and the survival of all living things. Accurate forecasting of rainfall is essential for proper planning and the execution of agricultural activities. Periods of dry weather without rainfall can have major consequences on water supply affecting ground water levels and agriculture. Stochastic modelling has been widely used to time …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 96s–103s Read article
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Study of Various Forecasting Models for Time Series Data Using Stochastic Processes
Abstract: The data which is in time stamped format is called as time series data. The time series data is everywhere, for example, weather data, stock market data, health care data, sensor data, network data, sales data and many more. Time series have various components due to which the time series data became complex. Trend, seasonality, cyclical, and irregularities, these are different components. As everyone is interested to know about future. …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 26–32 Read article
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Blind Separation of Instantaneous Mixtures of Sources Using Stochastic Calculus
Abstract: Stochastic calculus methods are used to estimate the Nonstationary components of a linear mixture. Each component in the mixture is assumed to follow a stochastic differential equation with some unknown parameters. The estimation of the stochastic process parameters and the estimation of the unknown amplitudes of the mixture matrix, through Girsanov theory, will generate a stochastic equation for each unknown process. Several examples are given, and a comparison to existing …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 26–48 Read article
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Noise Analysis of Single-Ended Input Differential Amplifier (MOS) using Stochastic Differential Equation
Abstract: AbstractIn this paper, we do the noise analysis of single-ended input differential amplifier (MOS). Stochastic differential equations are used to analyse the effect of extrinsic noise. We use time domain method and use SDE (Stochastic Differential Equation) to determine autocorrelation function for the output process. Mean and variance of the output noise is obtained. This analysis helps to get circuit with better noise performance. The analysis compares the noise performance …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 3, 2017 · pp. 19–25 Read article
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Stochastic Differential Equation Noise Analysis of Common-Gate Amplifier with Capacitive Load
Abstract: In this paper, common-gate amplifier with capacitive load is analysed to observe the effect of noise on the circuit. We used stochastic differential equations to analyse the effect of extrinsic noise. We adopted time domain approach and used SDE to obtain autocorrelation function for the output voltage. We determined mean and variance of the output noise. This analysis leads to obtain the circuit with better noise performance. Keywords: Common-gate amplifier, …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article
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A Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud
Abstract: Users in cloud environment pay per use for the resources utilized. Security issues direly affect the cloud services due to which the performance of the cloud systems also gets affected. Hence, for robust security in data and systems in cloud, the onus is largely on service providers. The most important component of cloud computing is job scheduling. For distributing precedence to subtasks that achieve varied makespan in heterogeneous computing system …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 58–68 Read article
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Two Phase Retrial Queue Evaluation Using DEMATEL (Decision Making Trial and Evaluation Laboratory)
Abstract: In this study, retrial queues are characterized by calls that detect that all servers are busy joining the review team, and retrying their demands in random order and at random intervals. If the server is found to be busy, customers can join the review team at a random time. But they keep making the same demands, at random or at set intervals. Recurring queues are widely used to model many …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 3, 2022 · pp. 6–19 Read article
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Exploring the Efficiency of Leading and Lagging Indicators in Algorithmic Trading
Abstract: This paper details a comparison of the overall performance of leading and lagging technical indicators used in algorithmic trading over an extended period. While much of the prior research focuses on index price forecasting and some on statistical arbitrage derived from these predictive techniques, there is a scarcity of studies that assess and evaluate trading strategies. The strategies considered for the study were tested on historical data of the 50 …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 8–18 Read article
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Handwritten Sanskrit Word Recognition: A Deep Learning Approach Using AlexNet
Abstract: Handwritten Sanskrit word recognition poses significant challenges due to the intricate structure of the script and the considerable variations in handwriting across individuals. To address these challenges, this research introduces a novel methodology employing transfer learning with the AlexNet convolutional neural network. The study utilized two distinct datasets: a specifically curated Sanskrit word image dataset containing 2616 samples, alongside a broader Devanagari character dataset used for validation purposes. The established …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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A Review of Solar-Powered Electric Vehicle Models Handling Unpredictable Changes in Modern Power Grids
Abstract: The transition to Electric Vehicles (EVs) is a critical strategy for mitigating global warming and reducing dependence on diminishing fossil fuel reserves. However, the environmental benefits of EVs are significantly diminished if the charging power is sourced from carbon-intensive electrical grids. To achieve true sustainability, it is vital to integrate Renewable Energy Sources (RES), particularly solar energy, into the charging infrastructure. Beyond transportation, EVs offer a unique opportunity to act …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Evolution of Kitchen Robots: A Review
Abstract: Robots are the machines designed and developed by humans which are more capable and efficient in doing such works and tasks which humans are unable to do or do with less efficiency. These machines are able to perform the tasks which are hard or impossible for humans. There are many robots which resemble like human, animal or even insects and are employed in different sectors. For example, dogs in bomb …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 32–47 Read article
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Develop Institutional Chatbot Using Deep Neural Networks and NLTK
Abstract: Chatbots are intelligent software that can communicate and perform actions like those of a customer service representative. Chatbots are widely used for customer interaction and marketing on social networking and e-commerce sites. AI-based chatbots have the core ability to learn from any question based on initial training on a predefined dataset. A web-based platform provides a broad intelligent foundation for simulating human problem solving. The technology used here is based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Achieving Multi-objectives Using a Single Neural Network
Abstract: Achieving multi-objectives using a single neural network is a research area that aims to develop techniques to optimize multiple objectives simultaneously using a single neural network. This approach can be applied in various fields, such as image and speech recognition, robotics, and natural language processing, to achieve better performance and reduce the complexity of the models. The key challenge in this area is to balance the trade-off between different objectives …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 1–15 Read article
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The Poisson–Uma Distribution with Properties and Applications to Model Thunderstorm Events
Abstract: The discrete data available in any field of knowledge is influenced by several known and unknown factors and the factors which affect the discrete data are stochastic. The stochastic nature of discrete data is a challenge for statisticians to model and analyze with the existing discrete distributions. In the present paper, Poisson-Uma distribution, the Poisson compound of Uma distribution, has been proposed to model over-dispersed data of thunderstorm events. The …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 20–30 Read article
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Application of Portfolio Using Fuzzy Logic
Abstract: ABSTRACTA portfolio has to match the portfolio of long-term liabilities with the portfolio of assets. Key instruments in strategic asset liability management (ALM) are the adjustment of investments with respective policies and their interest rate analogous with the scenario of the market. We have given mathematical formulation of the investment problem in terms of stochastic problem (SP) and finally represented it in terms of Fuzzy Inference Engine by providing a …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 16–25 Read article