New noise analysis model targets resolution
In recent years, there has been a growing interest in developing mode-localized sensors that focus on the strength of their signals for better sensitivity.
Feb 2, 2024
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In recent years, there has been a growing interest in developing mode-localized sensors that focus on the strength of their signals for better sensitivity.
Feb 2, 2024
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In recent years, there has been a notable increase in the adoption of plug-in electric vehicles (PEVs) on a global scale. Nevertheless, the significant surge in demand for PEV charging in particular regions or during certain ...
Oct 19, 2023
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Adding legs to robots that have minimal awareness of the environment around them can help the robots operate more effectively in difficult terrain, my colleagues and I found.
Aug 18, 2023
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The research team, led by A/Prof. Chen Li from the State Key Laboratory of Robotics and System (HIT), Harbin Institute of Technology, China, has shown the anisotropy dependence of the damage evolution and removal behaviors ...
Dec 12, 2022
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In data science, researchers typically deal with data that contain noisy observations. An important problem explored by data scientists in this context is the problem of sequential decision making. This is commonly known ...
Nov 22, 2022
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A research team led by Prof. Gao Ge and Jiang Li from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has investigated the fault diagnosis of a pulse width modulation converter and proposed a neural ...
Aug 24, 2022
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Researchers in Finland have developed a circuit that produces the high-quality microwave signals required to control quantum computers while operating at temperatures near absolute zero. This is a key step towards moving ...
Dec 9, 2021
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In recent years, research teams worldwide have been trying to apply origami-folding strategies to mechanical structures, as this could allow them to change their shape both rapidly and efficiently. A key advantage of origami, ...
Making an accurate prediction based on observed data, in particular from short-term time series, is of much concern in various disciplines— from molecular biology, neuroscience, geoscience, and economics to atmospheric ...
Apr 15, 2020
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