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 …

Analysis of Korean import and export in the semiconductor industry: a global supply chain perspective

SY Shin, SH Shin - Journal of Korea Trade, 2021 - koreascience.kr
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 …

Does climate variability impact COVID-19 outbreak? an enhanced semantics-driven theory-guided model

M Das, A Ghosh, SK Ghosh - SN Computer Science, 2021 - Springer
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 …

Dynamic Bayesian network based prediction of performance parameters in cloud computing

P Bharti, R Ranjan - International Journal of Grid and Utility …, 2023 - inderscienceonline.com
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 …

Analyzing impact of climate variability on COVID-19 outbreak: a semantically-enhanced theory-guided data-driven approach

M Das, SK Ghosh - Proceedings of the 3rd ACM India Joint International …, 2021 - dl.acm.org
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 …

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 …

Feature Selection for Rainfall Prediction and Drought Assessment Using Bayesian Network Technique

P Das, K Chanda - Climate Change and Water Security: Select …, 2021 - Springer
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 …

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 …

[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 …

[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 …