In contrast to the classic polygonal modeling, neural rendering reproduces a 3D scene based solely on optics and linear algebra laws. We see the world as three-dimensional because the sun’s rays reflect off objects and hit our retinas. NeRF models a space following the same principle, known ...
In this paper, a deep learning modeling approach is introduced that significantly improves on both speed and accuracy compared to techniques currently used to characterize the subwavelength optical structures. Our neural network approach overcomes two key challenges that have limited previous neural-network...
Furthermore, gene therapy is a novel, viable and promising modality for alleviating orthodontic pain in the future. International Journal of Oral Science (2016) 8, 67–75; doi:10.1038/ijos.2016.24; published online 24 June 2016 Keywords: facial pain; gene therapy; inflammation; neural pathways;...
GABA has an influence on cognitive functions including cognition, emotion, and memory and is crucial for controlling central nervous system activity. It inhibits nerve transmission, hence lowering neural excitability. By preventing nerve transmission, GABAergic neurons, which are present in the brainstem,...
In 1988, Hall and Cordey (1988) firstly proposed the use of GPS reflected signals for scatterometry applications. Later on, GPS reflection measurement was first proposed for altimetry by the European Space Agency (ESA) scientist Manuel Martin-Neirai in 1993, that is, the GPS surface reflection ...
In terms of semantic information representation of image sources, deep learning models represented by convolutional neural networks (CNN) have been proven to be able to effectively learn multi-granular semantic information of images and can be widely used in classic computer vision tasks such as ...
None of those mentioned above models have consistently outperformed the others in terms of performance and interpretability (Baño-Medina et al., 2020). With the advent of deep learning techniques, a new suite of ML-based approaches, such as Recurrent Neural Networks (Q. Wang et al., 2020)...
In view of this, a multi-disciplinary approach is employed to study the hydrodynamics of aluminium foams produced by a liquid melt infiltration technique using experimental, computational fluid dynamics (CFD) modelling and simulation, as well as artificial neural network (ANN) machine learning back...
Without a higher quality alternative, this defective structure remains as the only entry in the various crystall… A CRITICAL REVIEW OF NEURAL NETWORKS FOR THE IDENTIFICATION OF POWDER X-RAY DIFFRACTION PATTERNSJ. Schuetzke, N. J. Szymanski, M. Reischl…Previous work has shown that CNNs can ...
Reviews Anti-obesity drug discovery: advances and challenges Timo D. Müller 1,2 ✉, Matthias Blüher3, Matthias H. Tschöp 4,5 and Richard D. DiMarchi 6 ✉ Abstract | Enormous progress has been made in the last half-c entury in ...