Research on Big Data–A systematic mapping study

J Akoka, I Comyn-Wattiau, N Laoufi - Computer Standards & Interfaces, 2017 - Elsevier
Big Data has emerged as a significant area of study for both practitioners and researchers.
Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the …

Big data and social media: A scientometrics analysis

H Esfahani, K Tavasoli… - International Journal of …, 2019 - m.growingscience.com
The purpose of this research is to investigate the status and the evolution of the scientific
studies for the effect of social networks on big data and usage of big data for modeling the …

The implications of big data analytics on business intelligence: A qualitative study in China

J Ram, C Zhang, A Koronios - Procedia Computer Science, 2016 - Elsevier
Social media has brought about a revolution and dictated a paradigm shift in the operational
strategies of firms globally. It has resulted in collection of massive data from a variety of …

Expanded cloud plumes hiding Big Data ecosystem

S Sharma - Future Generation Computer Systems, 2016 - Elsevier
Today, a paradigm shift is being observed in science, where the focus is gradually shifting
away from operation to data, which is greatly influencing the decision making also. The data …

Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods

M Rai, T Maity, R Sharma, RK Yadav - The Journal of Supercomputing, 2022 - Springer
In today's scenario, Diabetes Mellitus (DM) is a major medical issue that comes with
numerous complications. It is the most imperative disease associated with a diabetic foot …

Cloud and IoT-based emerging services systems

S Sharma, V Chang, US Tim, J Wong, S Gadia - Cluster Computing, 2019 - Springer
The emerging services and analytics advocate the service delivery in a polymorphic view
that successfully serves a variety of audience. The amalgamation of numerous modern …

Classification and comparison of NoSQL big data models

S Sharma, US Tim, S Gadia, J Wong… - … Journal of Big …, 2015 - inderscienceonline.com
In the data science age, the decision-making processes are largely data dependent.
Though, the concept of big data is in the midst of evolution with great research and business …

A conceptual framework for the implementation of Industry 4.0 in legal informatics

S Agrawal, A Sahu, G Kumar - Sustainable Computing: Informatics and …, 2022 - Elsevier
The growing number of applications of Industry 4.0 in the field of legal informatics offers
huge opportunities for data scientists and academic researchers. The term Industry 4.0 is …

[PDF][PDF] Co-delivery of dual-drugs with nanoparticle to overcome multidrug resistance

Y Sun, C Kang, A Zhang, F Liu, J Hu… - European Journal of …, 2016 - biomedicaljour.com
Multidrug resistance (MDR) is becoming a significant obstacle for chemotherapeutic
treatment in the battle against malignant cancers. Because of the emergence of MDR, higher …

CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi

A Viebke, S Memeti, S Pllana, A Abraham - The Journal of …, 2019 - Springer
Deep learning is an important component of Big Data analytic tools and intelligent
applications, such as self-driving cars, computer vision, speech recognition, or precision …