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51 results for “Probabilistic model”
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Research ArticleOpen accessPhrase in the titleOptimizing Bias Detection in Tweets Using Bayesian Probabilistic ModelPrasanth G Rao, Harsha Chigurupati, Krish Hashia et al.Content moderation on social media faces persistent challenges from inconsistent evaluation shaped by subjective judgment and subtle semantic variations. This work proposes a Bayesian probabilistic framework for detecting bias in tweets using WordNet-based vocabulary filtering, statistical normalization via z-scores, and threshold optimization. The system is stateless, scalable, and dataset-agnostic, requiring no session-specific information. Unlike complex models such as Support Vector … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,009 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConstrained Probabilistic Economic Order Quantity Model under Varying Order Cost and Zero Lead Time Via Geometric ProgrammingKotb Abd-El-Hamid Mahmoud Kotb, Huda Mohamed Hamid Al-ShanbariProblem statement: In this study, we provide a simple method to determine the inventory policy of probabilistic single-item Economic Order Quantity (EOQ) model, that has varying order cost and zero lead time. The model is restricted to the expected holding cost and the expected available limited storage space. Approach: The annual expected total cost is composed of three components (expected … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 3 Nov 2011 · 7,612 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProbabilistic Learning Models for Secure E-Commerce Transaction AnalysisAnanth Maria Pushpa, S. SubramaniaanThe tremendous expansion of e-commerce requires well-developed security mechanisms of transactions coupled with cryptography systems. This paper explores how probabilistic learning algorithms can be used to promote fraud and transaction validation in e-commerce systems that are cryptographically secured. A study compared different machine learning models to analyze retail data, including Naïve Bayes, Bayes Network, and Logistic learning. The results showed … …Journal of Computer Science, Vol. 22, Issue 11 · 20 Oct 2026 · 506 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProbabilistic Mechanics of Glass Suggests a Model for COVID-19 EpidemicsGabriele Pisano, Antonio Bonati, Gianni Royer CarfagniThe presented statistical model allows us to identify the degree of development of an epidemic starting from the observation of the number of deaths in the invested region, categorized by the age of the victims. Recognition of which cases are associated with the disease is not necessary, as this results from the comparison with data on deaths in pre-epidemic conditions. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 6, Issue 1 · 26 Jan 2023 · 8,910 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModel Checking the Biological Model of Membrane Computing with Probabilistic Symbolic Model Checker by Using Two Biological SystemsRavie Chandren Muniyandi, Abdullah Mohd. Zin, Zarina ShukorProblem statement: Membrane computing formalism has provided better modeling capabilities for biological systems in comparison to conventional mathematical models. Model checking could be used to reason about the biological system in detail and with precision by verifying formally whether membrane computing model meets the properties of the system. Approach: This study was carried to investigate the preservation of properties of … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,672 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,217 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQUEUEING MODELS IN MOBILE AD-HOC NETWORKSS. Baskar, S. PalaniammalThe Mobile Ad-hoc Networks (MANETs) has gain an essential part of the attention of researchers and become very well-liked in last few years. MANETs can operate with no fixed communications and can live rapid changes in the network topology. They can be studied officially as graphs in which the set of boundaries varies in time. One of the main methods … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPeriodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraints and Varying Order CostHala A. FerganyThis study treats the probabilistic safety stock n-items inventory system having varying order cost and zero lead-time subject to two linear constraints. The expected total cost is composed of three components: the average purchase cost; the expected order cost and the expected holding cost. The policy variables in this model are the number of periods Nr* and the optimal maximum … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCommon Modeling Language for Model CheckersPathiah Abdul Samat, Abdullah Mohd ZinProblem statement: There are many different model checkers that have been developed. Each of the model checkers is based on different input languages and they are suitable for model checking different types of systems. Thus it is important for us to choose the right model checker or modeling and verifying a given system. However, moving from one model checker to … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 8,343 accessesView PDFCite