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MicroED data collection and processing. [PDF]
, 2015 MicroED, a method at the intersection of X-ray crystallography and electron cryo-microscopy, has rapidly progressed by exploiting advances in both fields and has already been successfully employed to determine the atomic structures of several proteins ...
de la Cruz, M Jason +6 more
core +1 more source
, 2016 In this chapter, the reader will gain knowledge and practical skills about preparing raw clinical data for secondary statistical analysis.
Malley, B, Ramazzotti, D, Wu, JT-Y
openaire +2 more sources
Knowledge Reasoning Based on Neural Tensor Network
ITM Web of Conferences, 2017 Knowledge base (KBs) is a very important part of applications such as Q&A system, but the knowledge base is always faced with incompleteness and the lack of inter-entity relationships.
Huang Jian-Hui +3 more
doaj +1 more source
The QUEST Data Processing Software Pipeline [PDF]
, 2007 A program that we call the QUEST Data Processing Software Pipeline has been written to process the large volumes of data produced by the QUEST camera on the Samuel Oschin Schmidt Telescope at the Palomar Observatory. The program carries out both aperture
Anne Bauer +8 more
core +2 more sources
CIE-LSCP: color image encryption scheme based on the lifting scheme and cross-component permutation
Complex & Intelligent Systems, 2022 Encryption of meaningful images into unidentifiable noise-like images can improve the security of images during storage and transmission. In this paper, a novel color image encryption method based on the lifting scheme and cross-component permutation ...
Xiuhui Chen +5 more
doaj +1 more source
Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines
Applied Sciences, 2021 In this paper, a method to build models to monitor and evaluate the health status of wind turbines using Single-hidden Layer Feedforward Neural networks (SLFN) is presented. The models are trained using the Extreme Learning Machines (ELM) strategy.
Pere Marti-Puig +3 more
doaj +1 more source
Model-Guided Manufacturing of Transducer Arrays Based on Single-Fibre Piezocomposites
Applied Sciences, 2020 For breast cancer imaging, ultrasound computer tomography (USCT) is an emerging technology. To improve the image quality of our full 3-D system, a new transducer array system (TAS) design was previously proposed.
Martin Angerer +3 more
doaj +1 more source
A Deep Reinforcement Learning Real-Time Recommendation Model Based on Long and Short-Term Preference
International Journal of Computational Intelligence Systems, 2023 With the development of Internet technology, the problem of information overload has increasingly attracted attention. Nowadays, the recommendation system with excellent performance in information retrieval and filtering would be widely used in the ...
Yan-e Hou +3 more
doaj +1 more source
Vision, 2023 Natural environment experiences in virtual reality (VR) can be a feasible option for people unable to connect with real nature. Existing research mostly focuses on health and emotional advantages of the “virtual nature” therapy, but studies of its ...
Artem Davidov +2 more
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Utility metric for unsupervised feature selection [PDF]
PeerJ Computer Science, 2021 Feature selection techniques are very useful approaches for dimensionality reduction in data analysis. They provide interpretable results by reducing the dimensions of the data to a subset of the original set of features.
Amalia Villa +4 more
doaj +2 more sources