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1641
Mathematical Analyses of the Upper and Lower Possibilistic Mean – Variance Models and Their Extensions to Multiple Scenarios
Published 2023-06-01“…Possibility theory is the one of the most important and widely used uncertainty theories because it is closely related to the imprecise probability and expert knowledge. The possibilistic mean - variance (MV) model is the counterpart of the Markowitz’s MV model in the possibility theory. …”
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1642
Extremal jumps of circuit complexity of unitary evolutions generated by random Hamiltonians
Published 2025-01-01“…In both scenarios we prove that the complexity of exp(–itH) exhibits the following behaviour — with high probability it reaches the maximal allowed value on the same time scale as needed to escape the neighborhood of the identity consisting of unitaries with trivial (zero) complexity. …”
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1643
Anomaly Monitoring Method for Key Components of Satellite
Published 2014-01-01“…This paper presented a fault diagnosis method for key components of satellite, called Anomaly Monitoring Method (AMM), which is made up of state estimation based on Multivariate State Estimation Techniques (MSET) and anomaly detection based on Sequential Probability Ratio Test (SPRT). On the basis of analysis failure of lithium-ion batteries (LIBs), we divided the failure of LIBs into internal failure, external failure, and thermal runaway and selected electrolyte resistance (Re) and the charge transfer resistance (Rct) as the key parameters of state estimation. …”
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1644
Testing Vegetation Flammability: The Problem of Extremely Low Ignition Frequency and Overall Flammability Score
Published 2014-01-01“…In the recent decades changes in fire regimes led to higher vulnerability of fire prone ecosystems, with vegetation being the only component influencing fire regime which can be managed in order to reduce probability of extreme fire events. For these management practices to be effective reliable information on the vegetation flammability is being crucial. …”
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1645
Company value: the influence of intellectual capital, growth opportunity, and dividend policy
Published 2024-08-01“…In this study, the value of F-statistic is 0.001687, meaning there is a very small probability (less than 0.17%) that the observed results happened by chance. …”
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1646
Smart contract-based secure cooperative spectrum sensing algorithm
Published 2021-12-01“…This article comprehensively considers the channel error rate, detection probability, secondary user base station budget and remaining energy of the secondary users (SUs) and then establishes the SU’s utility function as well as the game model. …”
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1647
An Improved Strategy for Genetic Evolutionary Structural Optimization
Published 2020-01-01“…Once the PI is less than the preset value which means that the calculation error of some element’s sensitivity is too big or some important elements are mistakenly removed, the penalty gene becomes active to recover those elements and reduce their selection probability in the next iterations. It should be noted that this improvement strategy is different from “freezing,” and the recovered elements could still be removed, if necessary. …”
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1648
Implementation and Analysis of Clustering Techniques Applied on Pocket Switched Network
Published 2015-09-01“…It is also considered an important tool for efficient communication in an intermittent Pocket Switched Network (PSN). Contact probability between mobile devices in disrupted social networks greatly depends upon the mobility profile and level of relationships between the device holders. …”
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1649
Spectral Representation-Based Multidimensional Nonstationary Ground Motion Model for Seismic Reliability Analysis of Frame Structures
Published 2021-01-01“…The random seismic responses are then combined with the probability density evolution method (PDEM) to carry out the seismic reliability analysis of a randomly base-excited moment-resisting frame structure. …”
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1650
Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach
Published 2019-01-01“…The proposed algorithm is valid to use thanks to an adaptive search equation, a novel probability-scaling method, and a chaotic operator and has a good performance in search speed and quality. …”
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1651
Evaluating local wisdom's impact on financial success: social capital in building economic resilience during covid-19
Published 2024-11-01“…The technique of taking respondents in this study uses the Non-Probability Sampling technique with the method used purposive sampling, which means that the respondent's sampling technique is based on specific criteria such as 1) LPD health status, 2) level of capital owned. …”
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1652
Entrepreneurship Development Among Black Youths in South Africa: A Choice or Neccesity?
Published 2021-06-01“…The study used judgmental non-probability sampling to sample the participants. The study used qualitative research to collect and analyse data. …”
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1653
The Older They Are, the Less Successful They Become? Findings from the Georgia Centenarian Study
Published 2012-01-01“…A first model examined Rowe and Kahn’s successful aging model (Rowe and Khan (1997 and 1998)) including the probability of disease, physical or cognitive capacity, and engagement with life. …”
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1654
A Statistical Channel Model for Stochastic Antenna Inclination Angles
Published 2019-01-01“…Furthermore, based on the statistical analysis, a semiempirical probability density function of antenna inclination angles is presented. …”
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1655
Expert System For Major Selection Determination At Universitas Muhammadiyah Sinjai
Published 2023-06-01“…From the results of the implementation and trials that have been carried out by researchers, a probability value is obtained that reaches 100 %, indicating that the system is functioning properly, and as many as 94 % of respondents stated that they strongly agree that the use of this application can help make it easier to determine majors at Universitas Muhammadiyah Sinjai.…”
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1656
The Construction of an Action-Speech Feature-Based School Violence Recognition Algorithm and Occupational Therapy Education Model for Adolescents
Published 2022-01-01“…Based on the classical D-S theory, we proposed an improved D-S evidence fusion algorithm by modifying the original evidence model with a new probability distribution function and constructing new fusion rules, which can solve the fusion conflict problem well. …”
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1657
Risk-averse estimates of effective properties in heterogeneous elasticity
Published 2023-01-01“…The CVaR computes the conditional expectation of events occurring above a given risk level, thereby characterizing the extreme tails of the probability distribution of a random variable. In the context of elastic materials, we propose to use the CVaR on the elastic free energy to compute an optimistic estimate of the global stiffness for some confidence level $\alpha $. …”
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1658
Optimization of UAV Cooperative Path Planning Mathematical Model Based on Personalized Multigroup Sparrow Search Algorithm in Complex Environment
Published 2022-01-01“…By introducing multiple population mechanisms to reduce the probability of falling into the local optimum due to single-population search, by using a personalized subpopulation strategy to improve the personalized differences of subpopulations and balance the exploratory ability of algorithm development, then by using weighted center-of-gravity communication strategy to improve the quality of communication between populations, and finally by using dimension by dimension dynamic reverse learning to improve the accuracy of search. …”
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1659
Production Cost Efficiency and Profitability of <i>Abakaliki Rice</i> in Ihialia Local Government Area of Anambra State, Nigeria
Published 2015-07-01“…They were all significant at 5% level of probability. The farmers had cost efficiency ranging from 1.001 - 1.122 with the average of 1.048. …”
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1660
Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation
Published 2017-01-01“…In this model, the dependency structure of observed attributes is obtained by structure learning, and the conditional probability table of each node is calculated by parameter learning. …”
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