Electromagnetic (EM) wave front modulation has important significance in both scientific research and industrial applications. However, conventional dielectric materials have limited choices of dielectric constants. In addition, ...
Optics & Photonics
Jul 19, 2023
0
9
A spacecraft can estimate the attitude state by comparing external measurements from attitude sensors with reference information. CubeSats tend to use 4-quadrant analog solar sensors which have the advantages of extremely ...
Space Exploration
May 30, 2023
0
9
In cereal crops, the number of new leaves each plant produces is used to study the periodic events that constitute the biological life cycle of the crop. The conventional method of determining leaf numbers involves manual ...
Plants & Animals
Apr 26, 2023
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7
Subsurface permeability is a key parameter that controls the contribution of the subsurface flow to stream flows in watershed models. Directly measuring permeability at the spatial extent and resolution required by watershed ...
Earth Sciences
Sep 27, 2022
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7
Although beef is one of the most consumed foods around the world, eating it when it's past its prime is not only unsavory, but also poses some serious health risks. Unfortunately, available methods to check for beef freshness ...
Analytical Chemistry
Apr 1, 2021
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20
The research team led by Prof. Zhang Jie from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences made progress on real-time determination of earthquake focal mechanisms through deep ...
Earth Sciences
Mar 22, 2021
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4
A simple photograph taken with a mobile phone is able to detect irregularities in the labelling of rice, according to an investigation conducted by the Complutense University of Madrid (UCM) and the Scintillon Institute of ...
Other
Dec 20, 2019
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129
Deep learning is one of the fastest-growing machine learning methods that relies on multi-layered artificial neural networks. Traditionally, deep learning systems are implemented to be executed on a computer to digitally ...
General Physics
Jul 30, 2018
0
146
High content screening of cellular phenotypes is a fundamental tool supporting early drug discovery. The term "high content" signifies the rich set of thousands of predefined features (such as size, shape, texture) that are ...
Computer Sciences
May 24, 2018
0
43
A graph structure is extremely useful for predicting properties of its constituents. The most successful way of performing this prediction is to map each entity to a vector through the use of deep neural networks. One may ...
Computer Sciences
Apr 30, 2018
0
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