scholarly journals Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications

2020 ◽  
Vol 105 ◽  
pp. 766-778 ◽  
Author(s):  
Rahat Iqbal ◽  
Faiyaz Doctor ◽  
Brian More ◽  
Shahid Mahmud ◽  
Usman Yousuf
Keyword(s):  
Big Data ◽  
Computational Intelligence ◽  
Data Analytics ◽  
State Of The Art ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Recent Trends

Fog-Assisted Cloud Platforms for Big Data Analytics in Cyber Physical Systems

Smart Data ◽  
2019 ◽  
pp. 289-318 ◽  
Author(s):  
Md. Muzakkir Hussain ◽  
Mohammad Saad Alam ◽  
M.M. Sufyan Beg ◽  
S. M. Shariff
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Industry 4.0 Applications for Medical/Healthcare Services

2021 ◽  
Vol 10 (3) ◽  
pp. 43
Author(s):  
Shuva Paul ◽  
Muhtasim Riffat ◽  
Abrar Yasir ◽  
Mir Nusrat Mahim ◽  
Bushra Yasmin Sharnali ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Data Analytics ◽  
Industrial Revolution ◽  
State Of The Art ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Start Ups ◽  
Medical Healthcare

At present, the whole world is transitioning to the fourth industrial revolution, or Industry 4.0, representing the transition to digital, fully automated environments, and cyber-physical systems. Industry 4.0 comprises many different technologies and innovations, which are being implemented in many different sectors. In this review, we focus on the healthcare or medical domain, where healthcare is being revolutionized. The whole ecosystem is moving towards Healthcare 4.0, through the application of Industry 4.0 methodologies. Many technical and innovative approaches have had an impact on moving the sector towards the 4.0 paradigm. We focus on such technologies, including Internet of Things, Big Data Analytics, blockchain, Cloud Computing, and Artificial Intelligence, implemented in Healthcare 4.0. In this review, we analyze and identify how their applications function, the currently available state-of-the-art technologies, solutions to current challenges, and innovative start-ups that have impacted healthcare, with regards to the Industry 4.0 paradigm.

scholarly journals IEEE Access Special Section Editorial: Big Data Analytics in the Internet-Of-Things And Cyber-Physical Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 18070-18075 ◽  
Author(s):  
Zhihan Lv ◽  
Houbing Song ◽  
Jaime Lloret ◽  
Dongkyun Kim ◽  
Jose-Neuman De Souza
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Special Section ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
The Internet Of Things

scholarly journals Digitization, Epistemic Proximity, and the Education System: Insights from a Bibliometric Analysis

2021 ◽  
Vol 14 (6) ◽  
pp. 267
Author(s):  
Ugo Fiore ◽  
Adrian Florea ◽  
Claudiu Vasile Kifor ◽  
Paolo Zanetti
Keyword(s):  
Education System ◽  
Computational Intelligence ◽  
Digital Technology ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Support Organizations ◽  
Scopus Database ◽  
Similarities And Differences

Advances in IoT, AI, Cyber-Physical Systems, Computational Intelligence, and Big Data Analytics require organizations and workforce to be able and willing to learn how to interact with digital technology. In organizations, coordination and cooperation between actors with expertise in business and technology is fundamental, but integration is hard without understanding the terminology and problems of the interlocutor. Epistemic proximity becomes prominent, underlining the importance of an education focused on flexibility, willingness to cope with the unknown, and interdisciplinarity. The main goal of this work is to provide a perspective on how the education system is evolving to support organizations in the digitization era through a quantitative analysis of literature. More than 170,000 papers were selected from the Scopus database, matching a wide set of keywords related with innovation, problem solving, and organizational change. Patterns in the co-occurrence of keywords were studied. In addition, similarities and differences in the distribution of relevant themes across disciplinary areas, as well as their evolution since 2000, were analyzed. Academic interest is found to be generally increasing over the years in all disciplines, although considerable fluctuations can be observed. This variation is found to be nonuniform in the macroareas.

Privacy-preserving big data analytics for cyber-physical systems

2018 ◽  
Author(s):  
Marwa Keshk ◽  
Nour Moustafa ◽  
Elena Sitnikova ◽  
Benjamin Turnbull
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Privacy Preserving ◽  
Physical Systems
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