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András Faragó
A classic and fundamental result, known as the Lovász Local Lemma, is a gem in the probabilistic method of combinatorics. At a high level, its core message can be described by the claim that weakly dependent events behave similarly to independent ones. A...
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N. S. Narayanaswamy and R. Vijayaragunathan
We present a detailed survey of results and two new results on graphical models of uncertainty and associated optimization problems. We focus on two well-studied models, namely, the Random Failure (RF) model and the Linear Reliability Ordering (LRO) mode...
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Haitham Y Adarbah,Shakeel Ahmad
Pág. 34 - 43
Broadcasting is the backbone of the route discovery process in on-demand routing protocols in Mobile Ad-hoc Networks (MANETs). Pure flooding is the simplest and most common broadcasting technique for route discovery in on-demand routing protocols. In pur...
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Andrea Apicella, Anna Corazza, Francesco Isgrò and Giuseppe Vettigli
The use of ontological knowledge to improve classification results is a promising line of research. The availability of a probabilistic ontology raises the possibility of combining the probabilities coming from the ontology with the ones produced by a mu...
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????? ?????????? ????????, ?????? ???????????? ??????
Pág. 110 - 116
The subject of the research in the article are some questions of the system-information approach to the analysis of the measure of discrete-probabilistic (DP) information in economic cybernetics within the framework of the enterprise's activities relatin...
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Suxun Shu, Jiajun Qian, Wenhui Gong, Zhiquan Yang and Kang Pi
Aiming at the problem that the non-probabilistic reliability analysis method of slope engineering, which is based on an interval model, cannot consider the cross-correlation of geotechnical parameters, a non-probabilistic reliability analysis method of s...
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Micha Zoutendijk and Mihaela Mitici
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the un...
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Jin Han Park, Yu Kyoung Park and Mi Jung Son
In this paper, a hesitant probabilistic fuzzy multiple attribute group decision making is studied. First, some Einstein operations on hesitant probability fuzzy elements such as the Einstein sum, Einstein product, and Einstein scalar multiplication are p...
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Hannah Aizenman, Michael D. Grossberg, Nir Y. Krakauer and Irina Gladkova
Ensembles of general circulation model (GCM) integrations yield predictions for meteorological conditions in future months. Such predictions have implicit uncertainty resulting from model structure, parameter uncertainty, and fundamental randomness in th...
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Paolo Reggiani, Amal Talbi and Ezio Todini
In Water Resources Planning and Management, decision makers, although unsure of future outcomes, must take the most reliable and assuring decisions. Deterministic and probabilistic prediction techniques, combined with optimization tools, have been widely...
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Mariane Rodrigues Rita, Pierre Rossi, Eduardo de Moraes Rego Fairbairn and Fernando Luiz Bastos Ribeiro
This paper presents an extension of the validation domain of a previously validated three-dimensional probabilistic semi-explicit cracking numerical model, which was initially validated for a specific concrete mix design. This model is implemented in a f...
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Zhixin Li, Song Ji, Dazhao Fan, Zhen Yan, Fengyi Wang and Ren Wang
Accurate building geometry information is crucial for urban planning in constrained spaces, fueling the growing demand for large-scale, high-precision 3D city modeling. Traditional methods like oblique photogrammetry and LiDAR prove time consuming and ex...
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Chenkai Cai, Yi?an Hua, Huibin Yang, Jing Wang, Changhuai Wu, Helong Wang and Xinyi Shen
Ecological droughts in rivers, as a new type of drought, have been greatly discussed in the past decade. Although various studies have been conducted to identify and evaluate ecological droughts in rivers from different indices, a forecast model for this...
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Guo Li, Yida Teng and Huimin Zhou
Aero engine compressor disks are typically life-limited parts and it is necessary to secure them through the implementation of an engineering plan and a manufacturing plan. Specifically, the engineering plan recommends the quantification of the safety of...
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Guo Li, Shuchun Huang, Wanqiu Lu, Junbo Liu, Shuiting Ding, Gong Zhang and Bo Zhen
Probabilistic failure risk analysis of aeroengine life-limited parts is of great significance for flight safety. Current probabilistic failure risk analysis uses equal amplitude load calculations for conservative estimation, avoiding inclusion of the int...
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Guo Li, Junbo Liu, Liu Yang, Huimin Zhou and Shuiting Ding
The probabilistic damage tolerance analysis of aeroengine rotor disks is essential for determining if the disk is safe. To calculate the probability of failure, the numerical integration method is efficient if the integral formula of the probability dens...
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Leeseok Kim and José Luis Palacios
We find closed-form expressions for the variance and the third moment of the number of hires in the assistant hiring algorithm, as well as asymptotic values for higher moments of this variable.
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Rolf Hoffmann
The objective is to find a Cellular Automata (CA) rule that can generate ?loop patterns?. A loop pattern is given by ones on a zero background showing loops. In order to find out how loop patterns can be locally defined, tentative loop patterns are gener...
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Vyacheslav I. Yukalov and Elizaveta P. Yukalova
The dynamics of affective decision making is considered for an intelligent network composed of agents with different types of memory: long-term and short-term memory. The consideration is based on probabilistic affective decision theory, which takes into...
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