Future Generation Computer Systems-The International Journal of eScience
Future Generation Computer Systems-The International Journal of eScience(英文缩写 FUTURE GENER COMP SY),ISSN 0167-739X,eISSN 1872-7115 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
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Future Generation Computer Systems-The International Journal of eScience 最新收录文献
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MAG-D: A multivariate attention network based approach for cloud workload forecasting.
The Coronavirus pandemic and the work-from-home have drastically changed the working style and forced us to rapidly shift towards cloud-based platforms & services for seamless functioning. The pandemi…
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Exploratory Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior.
Continuous passive sensing of daily behavior from mobile devices has the potential to identify behavioral patterns associated with different aspects of human characteristics. This paper presents novel…
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Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes.
This study was aimed to discuss the predictive value of infectious disease dynamics model (IDD model) and dynamic Bayesian network (DBN) for scenario deduction of public health emergencies (PHEs). Bas…
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Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content.
In recent years we have witnessed a growing interest in the analysis of social media data under different perspectives, since these online platforms have become the preferred tool for generating and s…
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Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging.
Internet of Things (IoT) has recently brought an influential research and analysis platform in a broad diversity of academic and industrial disciplines, particularly in healthcare. The IoT revolution …
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An AI-enabled lightweight data fusion and load optimization approach for Internet of Things.
In the densely populated Internet of Things (IoT) applications, sensing range of the nodes might overlap frequently. In these applications, the nodes gather highly correlated and redundant data in the…
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Estimation of laryngeal closure duration during swallowing without invasive X-rays.
Laryngeal vestibule (LV) closure is a critical physiologic event during swallowing, since it is the first line of defense against food bolus entering the airway. Identifying the laryngeal vestibule st…
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Ontology based recommender system using social network data.
Online Social Network (OSN) is considered a key source of information for real-time decision making. However, several constraints lead to decreasing the amount of information that a researcher can hav…
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Susceptible user search for defending opinion manipulation.
The development of cyberspace offers unprecedentedly convenient access to online communication, thus inducing malicious individuals to subtly manipulate user opinions for benefits. Such malicious mani…
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A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic.
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity …