Results 51 to 60 of about 152,517 (290)
International Journal of Mathematics and Mathematical Sciences, 1992 The authors study the queueing process in a single-server queueing system with state dependent service and with the input modulated by a semi-Markov process embedded in the queueing process. It is also assumed that the server capacity is r≥1 and that any
Jewgeni H. Dshalalow, Gary Russell
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Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
MODELING STRENGTH PROPERTIES OF PRODUCTS OF ADDITIVE TECHNOLOGIES USING PARALLEL COMPUTING
Современная наука и инновации, 2022 In the modern world, the importance of scientific results is growing, ensuring the creation of fundamentally new technologies and products with new consumer properties.
A. N. Privalov, Y. I. Bogatyryova
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Optimal maintenance of semi-markov missions [PDF]
, 2014 Çekyay, Bora (Dogus Author)We analyze optimal replacement and repair problems of semi-Markov missions that are composed of phases with random sequence and durations.
Çekyay, Bora, Özekici, Süleyman
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American Journal of Agricultural Economics, EarlyView.Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes
, 2016 We introduce the minimal maximally predictive models ({\epsilon}-machines) of processes generated by certain hidden semi-Markov models. Their causal states are either hybrid discrete-continuous or continuous random variables and causal-state transitions ...
Crutchfield, James P., Marzen, Sarah E.
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Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Critically Important Object Security System Element Model
Безопасность информационных технологий, 2012 A stochastic model of critically important object security system element has been developed. The model includes mathematical description of the security system element properties and external influences.
I. V. Khomyackov
doaj
Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes
Entropy, 2022 Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-event processes operates in continuous-time.
Sarah E. Marzen, James P. Crutchfield
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British Journal of Clinical Pharmacology, EarlyView.Abstract Aims Population pharmacokinetic (popPK) and pharmacokinetic‐pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL‐31 receptor α, in adolescents and adults with moderate‐to‐severe atopic dermatitis (AD).
Floris Fauchet +17 more
wiley +1 more source