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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 ...
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 ...
Boosting domestic energy efficiency through accurate consumption data collection
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ...