NADIR
发表于 2025-3-23 09:41:43
Aircraft System Identification,CMC) simulation method. This method is able to model future outcomes of time series under analysis from the available data. The establishment of multiple correlations and causality between the data allows modeling the variables and probabilistic distributions and subsequently obtaining also probabil
Herd-Immunity
发表于 2025-3-23 15:37:08
Derivative Fatigue Crack Growth Models,es is essential to analyze performance and the practical support they can provide for the current pandemic management. This work proposes using the susceptible-exposed-asymptomatic but infectious-symptomatic and infectious-recovered-deceased (SEAIRD) model for different learning models. The first an
脱毛
发表于 2025-3-23 19:07:35
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把手
发表于 2025-3-24 00:38:52
Joao Alexandre Lobo Marques,Simon James FongPresents data analytics models used during the Covid-19 pandemic.Compares the efficacy of the models discusses, and their limitations.Relevant to those in healthcare industries and academia
receptors
发表于 2025-3-24 04:50:35
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Rejuvenate
发表于 2025-3-24 09:53:00
https://doi.org/10.1007/978-3-030-95281-5Analytics Models; Decision Support; COVID19 Crisis; Epidemiologic Models; Compartmental Simulation Model
原始
发表于 2025-3-24 14:34:37
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吹牛者
发表于 2025-3-24 15:52:00
Evangelos Ploumakis,Wim Bierboomsratory processes were improved, while managerial personnel were supported by a countless number of models and computational tools for the decision-making process. This chapter aims to introduce an overview of this favorable scenario and highlight a necessary discussion about ethical issues in resear
叫喊
发表于 2025-3-24 21:57:16
Airbreathing Hypersonic Propulsiontuned adaptively by solving the nonlinear dynamics equations over the available pandemic data, as well as referring to previous experience with SARS. The contribution presented in this paper is a new model called the adaptive SEAIRD model; it considers the new characteristics of COVID19 and is there
价值在贬值
发表于 2025-3-24 23:15:04
The Agreement on Trade in Civil Aircraft,od (Polynomial Neural Network with Corrective Feedback) is presented as the technique with the best prediction performance. This is a promising method that might be considered in future eventual waves of the current pandemic or event to have a suitable model for future epidemic outbreaks around the