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of 689
pro vyhledávání: '"Tharam S. Dillon"'
Publikováno v:
IEEE Internet of Things Journal. 9:2443-2454
With the rapid growth in the use of various smart digital sensors, the Internet of Things (IoT) is a swiftly growing technology which has contributed significantly to Industry 4.0 and the promotion of IoT-based smart factories, which gives rise to th
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:1345-1354
The emergence of Industry 4.0 and the rapid advances in the Industrial Internet of Things (IIoT) have provided manufacturers with the ability to remotely monitor the process by deploying automatic fault detection in an IoT-based predictive maintenanc
Publikováno v:
IEEE Internet of Things Journal. 7:7084-7096
The emergence of the Industrial Internet of Things (IIoT) to enhance manufacturing and industrial processes allows data analysts to address significant problems such as predictive maintenance. For the purpose of accurate data analysis, cleansing nois
Autor:
Paul A. Watters, Wenny Rahayu, Elizabeth Chang, Mamoun Alazab, A. S. M. Kayes, Tharam S. Dillon
Publikováno v:
Future Generation Computer Systems. 107:307-323
© 2020 Elsevier B.V. In the cyberspace environment, access control is one of the foremost fundamental safeguards used to prevent unauthorized access and to minimize the impact from security breaches. Fog computing preserves many benefits for the int
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:183-192
Artificial intelligence, big data, machine learning, cloud computing, and Internet of Things (IoT) are terms which have driven the fourth industrial revolution. The digital revolution has transformed the manufacturing industry into smart manufacturin
Publikováno v:
Computers & Security. 83:234-245
Recent research on network intrusion detection has focused on correlation-based techniques, which allow one to adapt to continuously changing environments such as the Internet of Things. Despite it being common practice for network intrusion detectio
Publikováno v:
Future Generation Computer Systems. 93:237-255
Computing technologies are increasingly dynamic and ubiquitous in everyday life nowadays. Context information plays a crucial role in such dynamically changing environments and the different types of contextual conditions bring new challenges to cont
Publikováno v:
IEEE Transactions on Industrial Informatics. 15:23-34
Traffic flow forecasting is a useful technology applied to solve traffic congestion problems and to improve transportation mobility. Neural networks related approaches have been applied to develop traffic forecasting models for more than two decades.
Publikováno v:
Journal of Theoretical Biology. 455:131-139
Functionally similar non-coding RNAs are expected to be similar in certain regions of their secondary structures. These similar regions are called common structure motifs, and are structurally conserved throughout evolution to maintain their function
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