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76 articles for “Bayesian”
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
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Various Techniques of Data Mining in Social Network Mining: Review
Abstract: AbstractIn recent trends, social network has gained a large boom and the companies are using the social network mining as a tool for getting profit in their business. They are using different data mining techniques which we have covered in this study. We have also given a comparative study on how different data mining techniques are being used by them. Keywords: Social network mining, data mining, SVM, Bayesian networkCite this …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 8–11 Read article
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The Probability Model of Customer Retention with Measuring Customers’ Satisfactions
Abstract: Customer retention rate is an important topic in E-commerce when company hopes to keep the profit from the active customers by marketing programs. This study constructs a probability model to consider customer retention, follows Weibull distribution and is influenced by their satisfaction which is considered as a parameter on retention probability density function. A Bayesian form is formulated by calculating marginal density of customer retention. This probability model can predict …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 31–34 Read article
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Target Tracking Mobile Sensor Network Using Mobile AdHoc Networks (MANET)
Abstract: Target trailing mobile device network could be a major challenge in mobile unintended networks due partly to the dynamically dynamic network topologies. For mobile device networks that square measure developed for police investigation applications, it's vital to use a quality management theme empower nodes to create higher choices concerning their positions specified strategic tasks like target trailing can like node movement to explain a distributed quality management theme for mobile …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 3, 2018 · pp. 23–26 Read article
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Behaviors–Observations–Beliefs Model for Enhancement Using Cognitive Reasoning
Abstract: A unified trust management scheme that enhances the security in MANETs using uncertain reasoning, in the existing scheme, the trust model has two components: trust from direct observation and trust from indirect observation. With direct observation from an observer node, the trust value is derived using Bayesian inference, which is a type of uncertain reasoning when the full probability model can be defined. On the other hand, with indirect observation …
Published in Journal of Open Source Developments · Vol. 3, Issue 1, 2016 · pp. 10–18 Read article
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Review Paper on Fundamental Soft Set Hypothesis
Abstract: AbstractSoft set is a very the main level in practically every logical field. Soft set hypothesis is another scientific instrument for managing instabilities and is a set related with parameters and has been connected in a few headings. Since Molodtsov began the possibility of delicate sets, some exploration on delicate sets has been done in the writing. This hypothesis speaks to a promising procedure in blemished information examination which has …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article
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Reliability Analysis of an Infinite Range Failure Model under Different Prior Distributions
Abstract: AbstractA failure rate model has been selected for the present study and Bayesian estimates of reliability and hazard rate functions of that model have been obtained. The prior distributions considered for this study are, uniform and inverted gamma distributions. Since, the same mathematics is required for the study of survival analysis that is why the estimate of survival function has also been obtained in this paper.Keywords: Reliability function, hazard function, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 51–73 Read article
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Diabetic Level Prediction in Humans: Using Supervised Machine Learning Methods
Abstract: Diabetes could be an unremitting malady or a metabolic sick wellbeing cluster where an individual endures from a pervasive sum of insulin-producing blood glucose within the body or since the cells of the body do not react to affront. Steady diabetes hyperglycemia is the damage to long term organs, particularly lungs, kidneys, nerves, the heart and the veins are connected to weakness and misfortune. The objective of this investigation is …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Research Frame work of Missing Data Analysis using Mathematical Models
Abstract: AbstractThis article deals with providing an overall framework of missing data analysis using mathematical models. Mathematical models serves at large for missing data imputation. Several algorithms in machine learning techniques like Mean, Median, Standard Deviation, Regression and Naïve Bayesian classifier use Mathematical models for analysis. The performance of above mathematical models has been compared by using correlation statistics analysis gives the imputed values are positively related or negatively related or …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 36–44 Read article
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Behavioral Prediction of Network Attacks Using Honeypot Rules
Abstract: In this paper is presented an approach for behavioral prediction of network attacks usinghoneypot rules using support physical machine as a classification technique. Theproposed honeypot is used to trap delay and gather information about the attackers.These systems are centralized at a strategic point in the network and collect data into alog file that is subsequently analyzed as main vulnerability. Honeypots can generate thesignature with the help of attack classifier, and …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 7–12 Read article
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A Game Theory Approach to Enhance Routing and Security in MANET
Abstract: Mobile ad hoc network (MANET) is a collection of mobile nodes, which forms a temporary network without the aid of centralized administration. To create and maintain communication between nodes, the nodes dynamically establish paths among one another. The nature and structure of such networks makes it attractive to various types of attackers. Security in ad-hoc network is an essential component for basic network functions like packet forwarding and routing. These …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 1–8 Read article
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Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics
Abstract: This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 13–29 Read article
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Estimation of Reliability for a Two Parameter Inverse Chen Distribution
Abstract: The problem of estimation of reliability, when and are two independent random variables follow inverse Chen distribution, is considered in the paper. Maximum likelihood estimators of under simple random sampling and ranked set sampling are obtained. Also, Bayesian estimation using Lindley's approximation technique is proposed to draw inference about . Reliability estimators are compared using mean squared error criteria and real data analysis is carried out for illustration purpose. Keywords: …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 17–25 Read article
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Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 Read article