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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 ...
Comfort and use in building evaluation: Information modelling and post-occupancy in the built environment
(
Beijing JiaoTong University
, 2019 , Conference Paper)
Advances in computer science and information management increasingly allow built environment professionals to envision the day when there will be 'cradle-to-grave' modelling of buildings. This will involve measurement and ...
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 business collaborative decision making system for network of SMEs
(
Springer New York LLC
, 2016 , Conference Paper)
The enterprise collaboration has gain much popularity and strength with the inception of digital revolution. The concept of enterprise collaboration has observed a dynamic and evolving phenomenon of value added chain. This ...
Weaving trending, costing and recommendations using big data analytic: An enterprise capability evaluator
(
Springer International Publishing
, 2016 , Book chapter)
In the life cycle of a business organization, unprecedented turmoil and turbulent timings are inevitable. This ever green truth is not only an advice but a motivation for every organization to be dynamic in its business ...
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 ...
Tweet sentiment analysis with pronoun choice reveals online community dynamics in response to crisis events
(
Springer Verlag
, 2017 , Conference Paper)
We describe the emergence of an online community from naturally occurring social media data. Our method uses patterns of word choice in an online social platform to characterize how a community forms in response to adverse ...
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 ...
Outage performance of incremental relaying networks with OFDM subcarriers mapping schemes
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
The scarcity of radio resources coupled with the high data rate demands in the last few years, induced incremental relaying techniques one of the most promising technologies. This is simply because it allows reaping spatial ...