Deep learning for person re-identification: A survey and outlook
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping
cameras. With the advancement of deep neural networks and increasing demand …
cameras. With the advancement of deep neural networks and increasing demand …
Review of nanofluids for heat transfer applications
Research on nanofluids has progressed rapidly since its enhanced thermal conductivity was
first reported about a decade ago, though much controversy and inconsistency have been …
first reported about a decade ago, though much controversy and inconsistency have been …
Global estimates of the burden of injury and illness at work in 2012
…, C Tjong, LG Kheng, S Lim, GS Lin - … of occupational and …, 2014 - Taylor & Francis
This article reviews the present indicators, trends, and recent solutions and strategies to
tackle major global and country problems in safety and health at work. The article is based on …
tackle major global and country problems in safety and health at work. The article is based on …
Observation of electron-antineutrino disappearance at Daya Bay
The Daya Bay Reactor Neutrino Experiment has measured a nonzero value for the neutrino
mixing angle θ 13 with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 …
mixing angle θ 13 with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 …
Neutrino physics with JUNO
The Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton multi-purpose underground
liquid scintillator detector, was proposed with the determination of the neutrino mass …
liquid scintillator detector, was proposed with the determination of the neutrino mass …
Evolutionary programming made faster
X Yao, Y Liu, G Lin - IEEE Transactions on Evolutionary …, 1999 - ieeexplore.ieee.org
Evolutionary programming (EP) has been applied with success to many numerical and
combinatorial optimization problems in recent years. EP has rather slow convergence rates, …
combinatorial optimization problems in recent years. EP has rather slow convergence rates, …
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
Recently, very deep convolutional neural networks (CNNs) have shown outstanding
performance in object recognition and have also been the first choice for dense classification …
performance in object recognition and have also been the first choice for dense classification …
Effect of phosphodiesterase-5 inhibition on exercise capacity and clinical status in heart failure with preserved ejection fraction: a randomized clinical trial
…, SR Goldsmith, BA Bart, SE McNulty, JC Ibarra, G Lin… - Jama, 2013 - jamanetwork.com
Importance Studies in experimental and human heart failure suggest that phosphodiesterase-5
inhibitors may enhance cardiovascular function and thus exercise capacity in heart …
inhibitors may enhance cardiovascular function and thus exercise capacity in heart …
Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations
We report on the AeroCom Phase II direct aerosol effect (DAE) experiment where 16 detailed
global aerosol models have been used to simulate the changes in the aerosol distribution …
global aerosol models have been used to simulate the changes in the aerosol distribution …
Superb: Speech processing universal performance benchmark
Self-supervised learning (SSL) has proven vital for advancing research in natural language
processing (NLP) and computer vision (CV). The paradigm pretrains a shared model on …
processing (NLP) and computer vision (CV). The paradigm pretrains a shared model on …