A real-time distributed cluster storage optimization for massive data in internet of multimedia things
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7006-1
Abstract: With the rapid growth of massive data in the Internet of Multimedia Things, there are some problems of insufficient storage space and unbalanced load in the current methods. For the problem of massive real-time data… read more here.
Keywords: storage; real time; distributed cluster; multimedia ... See more keywords
Improvement of usability in user interfaces for massive data analysis: an empirical study
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08456-6
Abstract: Big Data challenges the conventional way of analyzing massive data and creates the need to improve the usability of existing user interfaces (UIs) in order to deal with massive amounts of data. How the UIs… read more here.
Keywords: user interfaces; massive data; data analysis; usability ... See more keywords
Massive data initiatives and AI provide testbed for pandemic forecasting.
Sign Up to like & getrecommendations! Published in 2020 at "Nature biotechnology"
DOI: 10.1038/s41587-020-0671-4
Abstract: Initiatives to gather massive epidemiological datasets aim to cut through national COVID-19 stats in a bid to understand the new coronavirus and aid public health policymakers. read more here.
Keywords: testbed pandemic; initiatives provide; provide testbed; data initiatives ... See more keywords
A Real-Time Massive Data Processing Technique for Densely Distributed Sensor Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872687
Abstract: Today, we are awash in a flood of data coming from different data generating sources. Wireless sensor networks (WSNs) are one of the big data contributors, where data are being collected at unprecedented scale. Unfortunately,… read more here.
Keywords: data processing; real time; time massive; sensor networks ... See more keywords
Fast Visualization of 3D Massive Data Based on Improved Hilbert R-Tree and Stacked LSTM Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051911
Abstract: With the explosive growth of scientific data, significant challenges exist with respect to the interaction of large volumetric datasets. To solve these problems, we propose a visualization algorithm based on the Hilbert R-tree improved by… read more here.
Keywords: stacked lstm; massive data; fast visualization; hilbert tree ... See more keywords
Efficient and Privacy-Preserving Massive Data Processing for Smart Grids
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078629
Abstract: Analysis and utilization of massive meter data can help decision-makers provide reasonable decisions. Therefore, multi-functional meter data processing has received considerable attention in recent years. Nevertheless, it might compromise users’ privacy, such as releasing users’… read more here.
Keywords: efficient privacy; privacy preserving; massive data; preserving massive ... See more keywords
Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0285175
Abstract: Background Public satisfaction is the ultimate goal and an important determinant of China’s urban regeneration plan. This study is the first to use massive data to perform sentiment analysis of public comments on China’s urban… read more here.
Keywords: public sentiment; sentiment; urban regeneration; china urban ... See more keywords
Massive Data Management and Sharing Module for Connectome Reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "Brain Sciences"
DOI: 10.3390/brainsci10050314
Abstract: Recently, with the rapid development of electron microscopy (EM) technology and the increasing demand of neuron circuit reconstruction, the scale of reconstruction data grows significantly. This brings many challenges, one of which is how to… read more here.
Keywords: reconstruction; module; massive data; data management ... See more keywords