Results 31 to 40 of about 5,327,787 (369)
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction [PDF]
Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, such as inter-region traffic, events, and weather.
Junbo Zhang, Yu Zheng, Dekang Qi
semanticscholar +1 more source
Observational study on risk factors determining residual dizziness after successful benign paroxysmal positional vertigo treatment: The role of subclinical BPPV [PDF]
After successful treatment for benign paroxysmal positional vertigo, many patients may complain of residual dizziness. Possible explanations may be the persistence of otolith into canal insufficient to provoke noticeable nystagmus, utricular dysfunction ...
Dispenza F. +3 more
core +1 more source
Background Indoor residual spraying (IRS) is the application of insecticide to the interior walls of household structures that often serve as resting sites for mosquito vectors of malaria.
Dereje Dengela +8 more
doaj +1 more source
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks [PDF]
Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for image recognition problems. Nevertheless, it is not trivial when utilizing a CNN for learning spatio-temporal video representation.
Zhaofan Qiu, Ting Yao, Tao Mei
semanticscholar +1 more source
We discuss when and how the Verlinde dimensions of a rational conformal field theory can be expressed as correlation functions in a topological LG theory. It is seen that a necessary condition is that the RCFT fusion rules must exhibit an extra symmetry. We consider two particular perturbations of the Grassmannian superpotentials.
openaire +3 more sources
Background Uganda’s malaria burden includes the sixth highest number of annual deaths in Africa (10,500) with approximately 16 million cases (2013) and the entire population at risk.
Michael Okia +9 more
doaj +1 more source
Deep Supervised Residual Dense Network for Underwater Image Enhancement
Underwater images are important carriers and forms of underwater information, playing a vital role in exploring and utilizing marine resources. However, underwater images have characteristics of low contrast and blurred details because of the absorption ...
Yanling Han +5 more
doaj +1 more source
LS-CS-residual (LS-CS): Compressive Sensing on Least Squares Residual [PDF]
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy linear measurements.
Vaswani, Namrata
core +2 more sources
Deeper Depth Prediction with Fully Convolutional Residual Networks [PDF]
This paper addresses the problem of estimating the depth map of a scene given a single RGB image. We propose a fully convolutional architecture, encompassing residual learning, to model the ambiguous mapping between monocular images and depth maps.
Iro Laina +4 more
semanticscholar +1 more source
Deconstructing the Children’s Art Pavilion [PDF]
This paper discusses the design, construction and eventual deconstruction of the Children’s Art Pavilion at the Newcastle Region Art Gallery in Australia. As a space for children to experiment with art, the Pavilion metaphorically engaged the verandah as
Chris Tucker
doaj +1 more source

