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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Liang Li, Guangchun Han and Shunying Ji
Accurately assessing ice loads is a fundamental issue in the field of structural design for ships in ice-covered regions. In this paper, we conducted research on extreme ice load estimation for icebreaking ships, combining stochastic theory with numerica...
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Jia-Qiao Wang, Jun Li, Yi-Jia Shih, Liang-Min Huang, Xin-Ruo Wang and Ta-Jen Chu
Species richness is the most basic concept of diversity and is crucial to biodiversity conservation and sustainable fisheries. To understand the fish species richness of the Minjiang Estuary and its adjacent waters, eight documents and surveyed data were...
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Jacques Hermes, Marcus Rosenblatt, Christian Tönsing and Jens Timmer
Describing viral outbreaks, such as the COVID-19 pandemic, often involves employing compartmental models composed of ordinary differential equation (ODE) systems. Estimating the parameter values for these ODE models is crucial and relies on accessible da...
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Katlego Mashiane, Samuel Adelabu and Abel Ramoelo
The role of biodiversity in improving the primary productivity within terrestrial ecosystems is well documented. Each species in an ecosystem has a role to play in the overall productivity of an ecosystem. Grass species nitrogen (N) estimation is essenti...
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Yibo Li, Shuaihang Li, Qing Zhang, Binglin Xiao and Yuantao Sun
As more and more container terminals are becoming intelligent, different kinds of sensors are widely installed at different locations of the cranes and collect a large amount of data. In order to effectively utilize and manage these huge amounts of actua...
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Sonya Leech, Jonathan Dunne and David Malone
Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they...
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Mathias Højgaard Jensen, Sarang Joshi and Stefan Sommer
We present schemes for simulating Brownian bridges on complete and connected Lie groups and homogeneous spaces. We use this to construct an estimation scheme for recovering an unknown left- or right-invariant Riemannian metric on the Lie group from sampl...
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Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
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Luca Sensini,Amit Shan,Maria Vazquez
Pág. 45 - 51
The goal of this article was twofold. The first objective was to investigate the diffusion and use of Project Management tools and techniques by manufacturing companies in an emerging economy, such as Argentina. The second objective was to assess the imp...
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