A survey on industrial information integration 2016–2019
Y Chen - Journal of Industrial Integration and Management, 2020 - World Scientific
Industrial information integration engineering (IIIE) is a set of foundational concepts and
techniques that facilitate the industrial information integration process. In recent years, many …
techniques that facilitate the industrial information integration process. In recent years, many …
Significant applications of machine learning for COVID-19 pandemic
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
Social Network Analysis: A Survey on Process, Tools, and Application
Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …
emerged as a significant academic field in recent years. Understanding and examining …
Telemedicine as technoinnovation to tackle COVID-19: A bibliometric analysis
Telemedicine has become fundamental for the challenges posed to healthcare. This set of
instruments turns pivotal for facing one of the most relevant emergencies in human history …
instruments turns pivotal for facing one of the most relevant emergencies in human history …
Managing uncertainty in emerging economies: The interaction effects between causation and effectuation on firm performance
Causation and effectuation are acknowledged as two fundamental strategic decision-
making logics that firms use to form strategies to cope with uncertainty. Using data collected …
making logics that firms use to form strategies to cope with uncertainty. Using data collected …
Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning
DR Liu, SJ Lee, Y Huang, CJ Chiu - Expert Systems, 2020 - Wiley Online Library
With air pollution having become a global concern, scientists are committed to working on its
amelioration. In the field of air pollution prediction, there have been good results in …
amelioration. In the field of air pollution prediction, there have been good results in …
Analysis of the potential impact of omicron crises using NLTK (natural language toolkit)
It has been evident that there are several mutations in the Omicron virus in this variation,
some of which are very serious. In contrast to another virus, initial investigation appears to …
some of which are very serious. In contrast to another virus, initial investigation appears to …
A machine learning-based analytical framework for employee turnover prediction
X Wang, J Zhi - Journal of Management Analytics, 2021 - Taylor & Francis
Employee turnover (ET) can cause severe consequences to a company, which are hard to
be replaced or rebuilt. It is thus crucial to develop an intelligent system that can accurately …
be replaced or rebuilt. It is thus crucial to develop an intelligent system that can accurately …
A study on the correlation between technology innovation and the new-type urbanization in Shaanxi province
In the past three decades, China has experienced vigorous urbanization. However, the
economy-centered urbanization caused social issues and is being replaced by the new-type …
economy-centered urbanization caused social issues and is being replaced by the new-type …
Healthcare data analysis system for regional medical union in smart city
Regional medical unions are practical approaches to deal with the cases that patients crowd
in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai, in China …
in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai, in China …