Results 21 to 30 of about 7,199,601 (292)
, 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
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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
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Local Channels under Decomposition of Quantum Gates in Bipartite Systems
Journal of Mathematics, 2023 For a bipartite quantum system with Hilbert space Hm⊗Hn, this paper considers a quantum channel ϕ from the system to itself which preserves the set of separable states.
Yihui Lao, Pei Wang, Shanli Liao
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RepDarkNet: A Multi-Branched Detector for Small-Target Detection in Remote Sensing Images
ISPRS International Journal of Geo-Information, 2022 Recent years have seen rapid progress in target-detection missions, whereas small targets, dense target distribution, and shadow occlusion continue to hinder progress in the detection of small targets, such as cars, in remote sensing images.
Liming Zhou +6 more
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Quantum data processing and error correction [PDF]
, 1996 This paper investigates properties of noisy quantum information channels. We define a new quantity called {\em coherent information} which measures the amount of quantum information conveyed in the noisy channel.
A. Wehrl +14 more
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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
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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
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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
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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
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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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