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A Bi-layered parallel training architecture for large-scale convolutional neural networks
(
IEEE Computer Society
, 2019 , Article)
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ...
AUDIT: approving and tracking updates with dependencies in collaborative databases
(
Springer New York LLC
, 2018 , Article)
Collaborative databases such as genome databases, often involve extensive curation activities where collaborators need to interact to be able to converge and agree on the content of data. In a typical scenario, a member ...
Applying big data methods to understanding human behavior and health
(
Frontiers Media S.A.
, 2018 , Article)
[No abstract available]
A parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for long periods result in substantial human ...
Big data analytics: does organizational factor matters impact technology acceptance?
(
SpringerOpen
, 2017 , Article)
Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and ...
Endorsing domestic energy saving behavior using micro-moment classification
(
Elsevier Ltd
, 2019 , Article)
With the ever-growing rise of energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate energy usage with proper energy efficiency tools. This is particularly ...
QoS provision for vehicle big data by parallel transmission based on heterogeneous network characteristics prediction
(
Academic Press Inc.
, 2022 , Article)
Multipath parallel transmission has become an important research direction to improve big data transmission efficiency of connected vehicles. However, due to the heterogeneity and time-varying characteristics of parallel ...
The role of statistics in data-centric engineering
(
Elsevier B.V.
, 2018 , Article)
We explore the role of statistics for Big Data analysis arising from the emerging field of Data-Centric Engineering. Using examples related to sensor-instrumented bridges, we highlight a number of issues and challenges. ...
Processing geo-dispersed big data in an advanced mapreduce framework
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has ...
A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid
(
IEEE Computer Society
, 2020 , Article)
Smart systems, including smart grid (SG) and Internet of Things (IoT), have been playing a critical role in addressing contemporary issues. Taking full advantage of the big data generated by the smart grid can enhance the ...