[PDF][PDF] Performance of machine learning and big data analytics paradigms in cybersecurity and cloud computing platforms

G Kabanda - Global Journal of Computer Science and Technology …, 2021 - academia.edu
University of Zimbabwe Abstract-The purpose of the research is to evaluate Machine
Learning and Big Data Analytics paradigms for use in Cybersecurity. Cybersecurity refers to …

MARISMA-BiDa pattern: Integrated risk analysis for big data

DG Rosado, J Moreno, LE Sánchez, A Santos-Olmo… - Computers & …, 2021 - Elsevier
Data is one of the most important assets for all types of companies, which have undoubtedly
grown their quantity and the ways of exploiting them. Big Data appears in this context as a …

Clustering-based data placement in cloud computing: a predictive approach

M Sellami, H Mezni, MS Hacid, MM Gammoudi - Cluster Computing, 2021 - Springer
Nowadays, cloud computing environments have become a natural choice to host and
process a huge volume of data. The combination of cloud computing and big data …

[HTML][HTML] 带状旋耕式小麦免耕播种机耕作刀具的优化

杨艳山, 丁启朔, 赵亚平, 孙翠华, 王锋 - 华南农业大学学报, 2021 - xuebao.scau.edu.cn
[目的] 对带状旋耕式小麦免耕播种机的耕作部件进行优化设计, 提高其作业质量.[方法] 采用C
型弯刀, 直刀, 深耕刀以及一种优化设计后的刀具组合形式(直刀与深耕刀组合) …

RADAR: Data protection in cloud-based computer systems at run time

ZÁ Mann, F Kunz, J Laufer, J Bellendorf… - IEEE …, 2021 - ieeexplore.ieee.org
The protection of confidential data (eg, personal data) is a concern of increasing importance.
Data processing applications are often deployed in cloud or fog/edge computing systems …

Deep learning and fog computing: a review

S Askar - Available at SSRN 3962705, 2021 - papers.ssrn.com
Fog computing (FC) is a new architecture that aims to reduce network pressures throughout
the core network as well as the cloud computing (CC) by bringing resource-intensive …

Review on supervised and unsupervised learning techniques for electrical power systems: Algorithms and applications

S Chen - IEEJ transactions on electrical and electronic …, 2021 - Wiley Online Library
Abstract Machine learning (ML) has become a rising sophisticated technological application
trend in the electrical industry in recent years. Such innovation provides optional …

[HTML][HTML] Internet of things and other e-solutions in supply chain management may generate threats in the energy sector—The quest for preventive measures

Z Dobrowolski - Energies, 2021 - mdpi.com
Energy firms are the beneficiaries and initiators of innovation, and energy investments are a
crucial area of business activity that is specially protected in any country. This is no wonder …

Big data analytics in E-commerce for the US and China through literature reviewing

W Zhuang, MC Wang, I Nakamoto… - Journal of Systems …, 2021 - degruyter.com
Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006,
deeply affects the development of global e-commerce, especially its layout and performance …

Additive manufacturing embraces big data

K Bi, D Lin, Y Liao, CH Wu, P Parandoush - Progress in Additive …, 2021 - Springer
Additive manufacturing (AM) is a relatively novel method to fabricate 3D objects by adding
layer-upon-layer materials. As one of the most anticipated techniques in recent years, AM …