全部文献期刊会议图书|学者科研项目
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作者:Ileas Pramanik , Raymond Y.K. Lau , Abul Kalam Azad ...
来源:[J].Expert Systems With Applications(IF 1.854), 2020
摘要:Abstract(#br)Healthcare informatics and analytics (HCI&A), also known as healthcare information technology (HIT), healthcare IS (HIS), and so on, has rapidly evolved with the emerge of advanced data analytics technologies applied to the medical domain. Currently, HCI&A has emerge...
作者:Bhagya Nathali Silva , Murad Khan , Kijun Han
来源:[J].Future Generation Computer Systems(IF 1.864), 2020, Vol.107, pp.975-987
摘要:Abstract(#br)Emergence of smart things has revolutionized the conventional internet into a connected network of things, maturing the concept of Internet of Things (IoT). With the evolution of IoT, many attempts were made to realize the notion of smart cities. However, demands for...
作者:Elaheh Yadegaridehkordi , Mehrbakhsh Nilashi , Liyana Shuib ...
来源:[J].Electronic Commerce Research and Applications(IF 1.48), 2020, Vol.40
摘要:Abstract(#br)Big data has increasingly appeared as a frontier of opportunity in enhancing firm performance. However, it still is in early stages of introduction and many enterprises are still un-decisive in its adoption. The aim of this study is to propose a theoretical model bas...
作者:Chenghao Sun
来源:[J].Future Generation Computer Systems(IF 1.864), 2020, Vol.107, pp.286-292
摘要:Abstract(#br)With the continuous improvement of the global securities market, the market competition is unprecedented fierce. In the aspect of investment decision support system, there is an urgent need to continuously absorb new information processing technologies and improve th...
作者:Ahmad Karim , Aisha Siddiqa , Zanab Safdar ...
来源:[J].Future Generation Computer Systems(IF 1.864), 2020, Vol.107, pp.942-955
摘要:Abstract(#br)Participatory sensing has become an emerging technology of this era owing to its low cost in big sensor data collection. Prior to participatory sensing, large-scale deployment complexities were found in wireless sensor networks when collecting data from widespread re...
作者:Junliang Wang , Peng Zheng , Jie Zhang
来源:[J].Computers & Industrial Engineering(IF 1.516), 2020, Vol.143
摘要:Abstract(#br)The dynamic wafer workshop gives rise to strong fluctuations of cycle time (CT) followed by earliness or tardiness penalty. Comprehending these fluctuations is a major challenge as the cycle time intricately interacts with massive parameters. This paper proposes a bi...
作者:Ana Rodríguez-Hoyos , José Estrada-Jiménez , David Rebollo-Monedero ...
来源:[J].Engineering Applications of Artificial Intelligence(IF 1.625), 2020, Vol.90
摘要:Abstract(#br)The massive exploitation of tons of data is currently guiding critical decisions in domains such as economics or health. But serious privacy risks arise since personal data is commonly involved. k -Anonymous microaggregation is a well-known method that guarantee...
作者:R.S. Pralle , H.M. White
来源:[J].Journal of Dairy Science(IF 2.566), 2020, Vol.103 (4), pp.3867-3873
摘要:ABSTRACT(#br)Negative animal health and performance outcomes are associated with disease incidences that can be labor-intensive, costly, and cumbersome for many farms. Amelioration of unfavorable outcomes through early detection and treatment of disease has emphasized the value o...
作者:Chunjie Zhou , Ali Li , Aihua Hou ...
来源:[J].Expert Systems With Applications(IF 1.854), 2020, Vol.151
摘要:Abstract(#br)Heart failure (HF) is among the most costly diseases to our society, and the prevalence keeps on increasing these days. Early detection of HF plays a vital role in saving lives through adjusting lifestyles and drug interventions that can slow down disease progression...
作者:Bart De Ketelaere , Mia Hubert , Jakob Raymaekers ...
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2020, Vol.199
摘要:Abstract(#br)Modern industrial machines can generate gigabytes of data in seconds, frequently pushing the boundaries of available computing power. Together with the time criticality of industrial processing this presents a challenging problem for any data analytics procedure. We ...

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