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Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system
AS Hati - Expert Systems With Applications, 2022 - Elsevier
Poor airflow ventilation systems fetch a progressively critical challenge for many working
areas, which transmits many calamitous physical consequences on operatives' health and …
areas, which transmits many calamitous physical consequences on operatives' health and …
Analysis of Korean import and export in the semiconductor industry: a global supply chain perspective
Purpose-Semiconductors are a significant export item for Korea that is expected to continue
to contribute significantly to the Korean economy in the future. Thus, the semiconductor …
to contribute significantly to the Korean economy in the future. Thus, the semiconductor …
Does climate variability impact COVID-19 outbreak? an enhanced semantics-driven theory-guided model
Abstract COVID-19, a life-threatening infection by novel coronavirus, has broken out as a
pandemic since December 2019. Eventually, with the aim of hel** the World Health …
pandemic since December 2019. Eventually, with the aim of hel** the World Health …
Dynamic Bayesian network based prediction of performance parameters in cloud computing
Resource prediction is an important task in the cloud computing environment. It can become
more effective and practical for large Cloud Service Providers (CSPs) with a deeper …
more effective and practical for large Cloud Service Providers (CSPs) with a deeper …
Analyzing impact of climate variability on COVID-19 outbreak: a semantically-enhanced theory-guided data-driven approach
With the intention of complementing the current worldwide actions to fight against novel
coronavirus disease (COVID-19), substantial number of research works have been put forth …
coronavirus disease (COVID-19), substantial number of research works have been put forth …
Spatial time series prediction using bayesian network models
J Gertaitė - 2023 - epublications.vu.lt
Abstract [eng] This Master's thesis is based on book'Enhanced Bayesian Network Models for
Spatial Time Series Prediction'. Methods written in the mentioned book as Bayesian Network …
Spatial Time Series Prediction'. Methods written in the mentioned book as Bayesian Network …
Feature Selection for Rainfall Prediction and Drought Assessment Using Bayesian Network Technique
This study explores the potential of Bayesian Network (BN), which is a class of Graphical
Modeling (GM) as a feature selection technique for examining the association of monthly …
Modeling (GM) as a feature selection technique for examining the association of monthly …
Fatores Críticos na Criação de Microempresas:: Um Estudo de Caso
JF MOREIRA, M Póvoas, LÁ Rezende… - Revista de Engenharia …, 2022 - seer.ucp.br
A cada dia podemos ver o aumento na criação de microempresas no mundo. No Brasil, elas
responsáveis por uma enorme parte do PIB. Criar, gerir e administrar empresas pode …
responsáveis por uma enorme parte do PIB. Criar, gerir e administrar empresas pode …
[PDF][PDF] Fatores Críticos na Criação de Microempresas: Um Estudo de Caso Critical Factors in Microenterprise Creation: A Case Study Lívia Ázara Rezende, Jéssica …
S Póvoas - researchgate.net
A cada dia podemos ver o aumentona criação de microempresas no mundo, só no Brasil s
elas responsáveis por uma enorme parte do PIB. Criar, gerir e administrar empresas pode …
elas responsáveis por uma enorme parte do PIB. Criar, gerir e administrar empresas pode …
[PDF][PDF] THE IMPORTANCE OF IMPLEMENTING BUILDING INFORMATION MODELING, RISK ANALYSIS AND ITS IMPACTS ON A REAL ESTATE DEVELOPMENT: A …
AG Vinagre, M Póvoas, MB de Almeida, JC Pereira - 2021 - researchgate.net
This study aims to show the importance of develo** and making compatible
complementary projects using BIM (Building Information Modeling) and to analyze the risks …
complementary projects using BIM (Building Information Modeling) and to analyze the risks …