Results 11 to 20 of about 3,816,755 (370)
Experimental determination of the cooling efficiency of a high-temperature surface by a pneumatic nozzle [PDF]
E3S Web of Conferences, 2023 The cooling of surfaces that perceive high heat fluxes (more than 7 MW/m2) at the current pace of development of the energy sector will become one of the main problems of the near future. In this paper, as one of the options for effective cooling of high-
Demidov Andrey Sergeevich +3 more
doaj +1 more source
Convolutional Two-Stream Network Fusion for Video Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2016 Recent applications of Convolutional Neural Networks (ConvNets) for human action recognition in videos have proposed different solutions for incorporating the appearance and motion information.
Christoph Feichtenhofer +2 more
semanticscholar +1 more source
U2Fusion: A Unified Unsupervised Image Fusion Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 This study proposes a novel unified and unsupervised end-to-end image fusion network, termed as U2Fusion, which is capable of solving different fusion problems, including multi-modal, multi-exposure, and multi-focus cases.
Han Xu +4 more
semanticscholar +1 more source
Cell, 2003 Membrane fusion, one of the most fundamental processes in life, occurs when two separate lipid membranes merge into a single continuous bilayer. Fusion reactions share common features, but are catalyzed by diverse proteins. These proteins mediate the initial recognition of the membranes that are destined for fusion and pull the membranes close together
Jahn, R., Lang, T., Suedhof, T.
openaire +3 more sources
DenseFuse: A Fusion Approach to Infrared and Visible Images [PDF]
IEEE Transactions on Image Processing, 2018 In this paper, we present a novel deep learning architecture for infrared and visible images fusion problems. In contrast to conventional convolutional networks, our encoding network is combined with convolutional layers, a fusion layer, and dense block ...
Hui Li, Xiaojun Wu
semanticscholar +1 more source
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a Multi-Scale Boosted Dehazing Network with Dense Feature Fusion based on the U-Net architecture. The proposed method is designed based on two principles, boosting and error feedback, and we show that they are suitable for the ...
Hang Dong +6 more
semanticscholar +1 more source
Entropy, 2023 What are conscious experiences? Can they combine to form new experiences? What are conscious subjects? Can they combine to form new subjects? Most attempts to answer these questions assume that spacetime, and some of its particles, are fundamental. However, physicists tell us that spacetime cannot be fundamental. Spacetime, they say, is doomed. We heed
Donald D. Hoffman +2 more
openaire +3 more sources
Cell Research, 2020 The recent outbreak of coronavirus disease (COVID-19) caused by SARS-CoV-2 infection in Wuhan, China has posed a serious threat to global public health.
Shuai Xia +15 more
semanticscholar +1 more source
Tensor Fusion Network for Multimodal Sentiment Analysis [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Multimodal sentiment analysis is an increasingly popular research area, which extends the conventional language-based definition of sentiment analysis to a multimodal setup where other relevant modalities accompany language.
Amir Zadeh +4 more
semanticscholar +1 more source
Measurement of disruption forces in JET using fiber-optic sensors [PDF]
, 2009 Monitoring the forces induced on the vacuum vessel when a disruption occurs is essential for the protection of the machine. Since divertor coils have been installed in JET, during disruptions a significant difference between the forces measured on the ...
Fusiek, G. +8 more
core +1 more source