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A general mathematical model of probabilistic ripple-carry adders
2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010), 2010Mark S. K. Lau +3 more
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Probabilistic mathematical modelling for security risk assessment
2021This thesis presents a novel framework for security risk assessment (SRA) and identification, comprising mathematical algorithms and a family of models. Recently, due to the growing incidence of cyber-attacks and cyber-fraud, as well as terrorist attacks and other adversarial activities, qualitative and comprehensive SRA and security risk management ...
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A Mathematical Framework for Exploring Protein Folding Dynamics using Probabilistic Model Checking
2020 3rd International Conference on Information and Computer Technologies (ICICT), 2020Protein folding has always been a key problem in the field of computational biology. Several models have been proposed for protein folding in the past. The sequence via which a protein folds has a strong impact on the presence or absence of a disease in an organism.
Prasenjit Biswas +2 more
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A mathematical model on eco-friendly manufacturing system under probabilistic demand
RAIRO - Operations Research, 2019The article deals with a mathematical model of production inventory system of green products in a green manufacturing industry. The main objective of this proposed model is to formulate a profit function for service level and random variable dependent demand implementing green technology in the manufacturing industry for reduction of green house gas ...
Moumita Bhattacharyya, Shib Sankar Sana
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2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 2021
The article deals with the analysis of the dynamic mathematics software in order to determine those where it is possible to construct typical probabilistic models. The results of a survey of Ukrainian mathematics teachers on the activity of using specialized software in probability theory teaching are presented. The partial involvement of such software
M. G. Drushlyak +4 more
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The article deals with the analysis of the dynamic mathematics software in order to determine those where it is possible to construct typical probabilistic models. The results of a survey of Ukrainian mathematics teachers on the activity of using specialized software in probability theory teaching are presented. The partial involvement of such software
M. G. Drushlyak +4 more
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Modelling human boredom at work: mathematical formulations and a probabilistic framework
Journal of Manufacturing Technology Management, 2013PurposeBoredom is believed to be the common cause of workers' absenteeism, accidents, job dissatisfaction, and performance variations in manufacturing environments with repetitive jobs. Effectively measuring and possibly predicting job boredom is the key to the design and implementation of appropriate strategies to deal with such undesirable emotional ...
Nader Azizi +2 more
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Probabilistic models in financial mathematics
2006Ο στόχος ενός στοχαστικού προτύπου είναι να συνδυαστεί η ικανότητα της θεωρίας Πιθανοτήτων να αντιμετωπίσει την αβεβαιότητα με την ικανότητα της παραγωγικής λογικής να προσδιορίσει τη δομή. Το αποτέλεσμα είναι ένας πλουσιότερος και πιο εκφραστικός φορμαλισμός με ένα ευρύ φάσμα τομέων εφαρμογής.
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A mathematical form of probabilistic vulnerability model for loss and casualty ratios
Earthquake Spectra, 2020A parametric mathematical form of vulnerability function is developed that gives a full probabilistic description of losses as a function of earthquake ground shaking intensity. The model is intended to be used with any loss measure that can take values between 0% and 100%, inclusive, including normalized financial losses (damage ratios), human ...
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Application of growing probabilistic automata for mathematical modeling
Cybernetics, 1989We define a growing probabilistic automaton and show how it can be used to predict the behavior of some process from its initial segment.
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Mathematics of Probabilistic Uncertainty Modeling
2014This chapter presents the uncertainty modeling using probabilistic methods. Probabilistic method of uncertainty analysis is due to randomness of the parameters of a model. Randomness of parameters is characterized by specified probability distribution such as normal, log normal, exponential etc., and the corresponding samples are generated by various ...
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