Results 11 to 20 of about 472,930 (267)
Applied Sciences, 2021 With the complexity of the task requirement, multiple operating conditions have gradually become the common scenario for equipment. However, the degradation trend of monitoring data cannot be accurately extracted in life prediction under multiple ...
Jiancheng Yin +3 more
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International Journal of Architectural Computing, 2006 The work described here explores the problem of how digital technologies can enrich the experience of spatiality and social interaction in space(s). An existing café space at the School of Design of the Hong Kong Polytechnic University is linked to a “twin” in the form of an online-accessible environment.
Jachna, Timothy +2 more
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, 2021 CERN's Large Hydron Collider (LHC) in Geneva is currently the record holder in acquiring huge amounts of experimental science data. The reason is simple: the target particles are extremely rare and are searched for in an ocean of other events. In 2019 CERN's advanced tape storage system Castor held 330 petabytes, in a very sustainable way compared to ...
Valentijn, Edwin A. +4 more
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Geophysical Research Letters, 2023 The power gap of chorus waves at ∼0.5fce has been discovered for decades, but its generation mechanism is still under debate. Previous studies have revealed that electron plateau distributions are vitally important for the gap formation.
Huayue Chen +5 more
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Approximation Spaces of Deep Neural Networks [PDF]
Constructive Approximation, 2021 We study the expressivity of deep neural networks. Measuring a network's complexity by its number of connections or by its number of neurons, we consider the class of functions for which the error of best approximation with networks of a given complexity decays at a certain rate when increasing the complexity budget.
Gribonval, Rémi +3 more
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IEEE Access, 2019 Aiming at the problem that the traditional similarity measurement methods cannot effectively measure the similarity of the time series with the difference both in the trend and detail, this paper proposes a new time series similarity measurement method ...
Jiancheng Yin +5 more
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Learning the Space of Deep Models
2022 26th International Conference on Pattern Recognition (ICPR), 2022 Embedding of large but redundant data, such as images or text, in a hierarchy of lower-dimensional spaces is one of the key features of representation learning approaches, which nowadays provide state-of-the-art solutions to problems once believed hard or impossible to solve.
Gianluca Berardi +3 more
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Deep space infections of neck [PDF]
Indian Journal of Otolaryngology and Head & Neck Surgery, 2007 A retrospective study was performed on fourteen cases of deep cervical space infections in the neck admitted for diagnosis and treatment to the ENT Department, during a period of seven years from 1989-1997. Of the fourteen, four patients had Ludwig's angina and of the fourteen, one had a very serious complication resulting in death. Early diagnosis and
S, Kaluskar, P, Bajaj, P, Bane
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Applied Sciences, 2019 The transient impact components in vibration signal, which are the major information for bearing fault severity recognition, are often interfered with by ambient noise.
Jiancheng Yin +5 more
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Geophysical Research Letters, 2023 Using the high‐quality measurements of plasma by the Magnetospheric Multiscale (MMS) spacecraft, we investigate the wave‐particle interaction between cold protons and Electromagnetic ion cyclotron (EMIC) waves of different polarizations in the inner ...
Xinmin Li +5 more
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