Big data applications to take up major challenges across manufacturing industries: A brief review
Growing population and depleting resources are forcing the manufacturers to become more
competent and sustainable. Customers are becoming more and more informed about the …
competent and sustainable. Customers are becoming more and more informed about the …
Big Earth data analytics: A survey
Big Earth data are produced from satellite observations, Internet-of-Things, model
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …
Big data reduction framework for value creation in sustainable enterprises
Value creation is a major sustainability factor for enterprises, in addition to profit
maximization and revenue generation. Modern enterprises collect big data from various …
maximization and revenue generation. Modern enterprises collect big data from various …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Big data reduction methods: a survey
Research on big data analytics is entering in the new phase called fast data where multiple
gigabytes of data arrive in the big data systems every second. Modern big data systems …
gigabytes of data arrive in the big data systems every second. Modern big data systems …
Adaptive protection scheme for microgrids based on SOM clustering technique
SME Ghadiri, K Mazlumi - Applied soft computing, 2020 - Elsevier
Microgrids are penetrating into the power systems at an unprecedented rate. The reason is
the mutual economic and environmental benefits of microgrids, both for power grid utility and …
the mutual economic and environmental benefits of microgrids, both for power grid utility and …
Big data: A parallel particle swarm optimization-back-propagation neural network algorithm based on MapReduce
J Cao, H Cui, H Shi, L Jiao - PloS one, 2016 - journals.plos.org
A back-propagation (BP) neural network can solve complicated random nonlinear mapping
problems; therefore, it can be applied to a wide range of problems. However, as the sample …
problems; therefore, it can be applied to a wide range of problems. However, as the sample …
Progress on artificial neural networks for big data analytics: a survey
Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought
the world into the era of “big data.” Artificial neural networks (ANNs) are known for their …
the world into the era of “big data.” Artificial neural networks (ANNs) are known for their …
Radar and automatic identification system track fusion in an electronic chart display and information system
W Kazimierski, A Stateczny - The Journal of Navigation, 2015 - cambridge.org
This paper presents the results of research on the fusion of tracking radar and an Automatic
Identification System (AIS) in an Electronic Chart Display and Information System (ECDIS) …
Identification System (AIS) in an Electronic Chart Display and Information System (ECDIS) …
Rededge: A novel architecture for big data processing in mobile edge computing environments
M Habib ur Rehman, PP Jayaraman… - Journal of Sensor and …, 2017 - mdpi.com
We are witnessing the emergence of new big data processing architectures due to the
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …