Green radio: radio techniques to enable energy-efficient wireless networks
Recent analysis by manufacturers and network operators has shown that current wireless
networks are not very energy efficient, particularly the base stations by which terminals access …
networks are not very energy efficient, particularly the base stations by which terminals access …
Choosing a qualitative data analysis tool: A comparison of NVivo and Leximancer
P Sotiriadou, J Brouwers, TA Le - Annals of leisure research, 2014 - Taylor & Francis
As the use and availability of qualitative software analysis tools increase, so does ambiguity
regarding the choice of the most appropriate software in sport management research. This …
regarding the choice of the most appropriate software in sport management research. This …
Deep variational reinforcement learning for POMDPs
Many real-world sequential decision making problems are partially observable by nature,
and the environment model is typically unknown. Consequently, there is great need for …
and the environment model is typically unknown. Consequently, there is great need for …
Staphylococcus aureus membrane and diacylated lipopeptide induce thymic stromal lymphopoietin in keratinocytes through the Toll-like receptor 2–Toll-like receptor …
AT Vu, T Baba, X Chen, TA Le, H Kinoshita… - Journal of allergy and …, 2010 - Elsevier
BACKGROUND: Staphylococcus aureus heavily colonizes the lesions of patients with atopic
dermatitis (AD) and is known to trigger a worsening of AD. However, the exact mechanism …
dermatitis (AD) and is known to trigger a worsening of AD. However, the exact mechanism …
Tighter variational bounds are not necessarily better
We provide theoretical and empirical evidence that using tighter evidence lower bounds (ELBOs)
can be detrimental to the process of learning an inference network by reducing the …
can be detrimental to the process of learning an inference network by reducing the …
Theoretical and experimental study on mechanical properties and flexural strength of fly ash-geopolymer concrete
KT Nguyen, N Ahn, TA Le, K Lee - Construction and Building Materials, 2016 - Elsevier
In this paper, evaluation of the mechanical properties of heat-cured low-calcium fly-ash
geopolymer concrete and the behavior of geopolymer concrete beams are reported in detail. The …
geopolymer concrete and the behavior of geopolymer concrete beams are reported in detail. The …
Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches
In this research, two different machine learning approaches are proposed for predicting the
compressive strength of fly ash based geopolymer concrete. Experimental work with a total of …
compressive strength of fly ash based geopolymer concrete. Experimental work with a total of …
Urban design principles for flood resilience: Learning from the ecological wisdom of living with floods in the Vietnamese Mekong Delta
KH Liao, TA Le, K Van Nguyen - Landscape and Urban Planning, 2016 - Elsevier
Despite the widespread implementation of flood control infrastructure, modern cities around
the world remain vulnerable to flood hazards. Although flood management has in general …
the world remain vulnerable to flood hazards. Although flood management has in general …
Auto-encoding sequential monte carlo
We build on auto-encoding sequential Monte Carlo (AESMC): a method for model and proposal
learning based on maximizing the lower bound to the log marginal likelihood in a broad …
learning based on maximizing the lower bound to the log marginal likelihood in a broad …
Inference compilation and universal probabilistic programming
We introduce a method for using deep neural networks to amortize the cost of inference in
models from the family induced by universal probabilistic programming languages, …
models from the family induced by universal probabilistic programming languages, …