A study of big data for business growth in SMEs: Opportunities & challenges

M Iqbal, SHA Kazmi, A Manzoor… - 2018 International …, 2018 - ieeexplore.ieee.org
In today's world the data is considered as an extremely valued asset and its volume is
increasing exponentially every day. This voluminous data is also known as Big Data. The …

Providing healthcare-as-a-service using fuzzy rule based big data analytics in cloud computing

A Jindal, A Dua, N Kumar, AK Das… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
With advancements in information and communication technology, there is a steep increase
in the remote healthcare applications in which patients can get treatment from the remote …

Blockchain access control ecosystem for big data security

UU Uchibeke, KA Schneider… - … on Internet of Things …, 2018 - ieeexplore.ieee.org
In recent years, the advancement in modern technologies has not only resulted in an
explosion of huge data sets being captured and recorded in different fields, but also given …

Data integrity verification of the outsourced big data in the cloud environment: A survey

L Zhou, A Fu, S Yu, M Su, B Kuang - Journal of Network and Computer …, 2018 - Elsevier
With the explosive growth of data and the rapid development of science technology, big data
analysis has attracted increasing attention. Due to the restrictive performance of traditional …

FADL: Federated-autonomous deep learning for distributed electronic health record

D Liu, T Miller, R Sayeed, KD Mandl - arXiv preprint arXiv:1811.11400, 2018 - arxiv.org
Electronic health record (EHR) data is collected by individual institutions and often stored
across locations in silos. Getting access to these data is difficult and slow due to security …

Developing human resource data risk management in the age of big data

TS Calvard, D Jeske - International Journal of Information Management, 2018 - Elsevier
In recent years, a great deal of attention has been devoted to trying to understand the risk
challenges that arise in information management, and most recently, challenges that arise …

Structural performance monitoring using a dynamic data-driven BIM environment

JMD Delgado, LJ Butler, I Brilakis, MZEB Elshafie… - 2018 - repository.cam.ac.uk
Structural health monitoring data has not been fully leveraged to support asset management
due to a lack of effective integration with other datasets. A Building Information Modelling …

The efficacy of finite element analysis (FEA) as a design tool for food packaging: A review

T Fadiji, CJ Coetzee, TM Berry, A Ambaw… - Biosystems …, 2018 - Elsevier
Highlights•Development of FEA in food packaging industries are reviewed.•Advantages,
shortcomings and challenges encountered by users of FEA in food packaging industries are …

Opportunities and challenges for big data ornithology

FA La Sorte, CA Lepczyk, JL Burnett… - The Condor …, 2018 - academic.oup.com
Recent advancements in information technology and data acquisition have created both
new research opportunities and new challenges for using big data in ornithology. We …

Computational fragment-based drug design: current trends, strategies, and applications

Y Bian, XQ Xie - The AAPS journal, 2018 - Springer
Fragment-based drug design (FBDD) has become an effective methodology for drug
development for decades. Successful applications of this strategy brought both opportunities …