Results 41 to 50 of about 610,310 (264)
Information exchange in randomly deployed dense WSNs with wireless energy harvesting capabilities [PDF]
, 2016 ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Alonso Zárate, Luis Gonzaga +5 more
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Electronic Notes in Discrete Mathematics, 2001 Multi-loop networks are closely related to the design of some interconnection or communication computer networks. Multi-loop digraphs model such networks and are usually called circulant because their adjacency matrices are circulant. These digraphs are regular of in-degree and out-degree \(d\) and vertex symmetric.
Aguiló, F., Simó, E., Zaragozá, M.
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Heterogeneous Ultra Dense Networks: Part 2 [PDF]
IEEE Communications Magazine, 2018 The eleven articles in this special section focus on heterogeneous ultra dense networks. With the continuous enrichment of mobile communication application scenarios in the future, the traditional macrocellular-based mobile communication network architecture will be challenged to meet the explosive growth in demand for communications services.
Haijun Zhang +5 more
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Energy efficient hybrid satellite terrestrial 5G networks with software defined features [PDF]
, 2017 In order to improve the manageability and adaptability of future 5G wireless networks, the software orchestration mechanism, named software defined networking (SDN) with Control and User plane (C/U-plane) decoupling, has become one of the most ...
Evans, Barry +5 more
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DGC-Net: Dense Geometric Correspondence Network [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Supplementary material included; Affiliation section has been ...
Tiulpin, Aleksei +6 more
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Spectral density of dense random networks and the breakdown of the Wigner semicircle law
Physical Review Research, 2020 Although the spectra of random networks have been studied for a long time, the influence of network topology on the dense limit of network spectra remains poorly understood.
Fernando L. Metz, Jeferson D. Silva
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Densely Connected Neural Networks for Nonlinear Regression
Entropy, 2022 Densely connected convolutional networks (DenseNet) behave well in image processing. However, for regression tasks, convolutional DenseNet may lose essential information from independent input features. To tackle this issue, we propose a novel DenseNet regression model where convolution and pooling layers are replaced by fully connected layers and the ...
Chao Jiang +3 more
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Received power modelling in ultra‐dense networks
Electronics Letters, 2022 In received power modelling for system level simulations, the relative orientation of the transmitter and receiver antennas are not generally considered.
Danaisy Prado‐Alvarez +5 more
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, 2018 Deep net architectures have constantly evolved over the past few years, leading to significant advancements in a wide array of computer vision tasks. However, besides high accuracy, many applications also require a low computational load and limited memory footprint. To date, efficiency has typically been achieved either by architectural choices at the
Kligvasser, Idan, Michaeli, Tomer
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Future Internet, 2017 One distinctive feature of the next 5G systems is the presence of a dense/ultra-dense wireless access network with a large number of access points (or nodes) at short distances from each other.
Franco Mazzenga +2 more
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