Results 11 to 20 of about 610,310 (264)
Residual Dense Network for Image Restoration [PDF]
Convolutional neural network has recently achieved great success for image restoration (IR) and also offered hierarchical features. However, most deep CNN based IR models do not make full use of the hierarchical features from the original low-quality images, thereby achieving relatively-low performance.
Yulun Zhang +4 more
openaire +3 more sources
Dense Siamese Network for Dense Unsupervised Learning
ECCV2022 camera ...
Wenwei Zhang +3 more
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Variational Quantum Circuit Topology Grid Search for Hypocalcemia Following Thyroid Surgery
Quantum computing’s potential to revolutionise medical applications has spurred interest in leveraging quantum algorithms for healthcare challenges. In this research, the authors explored the application of variational quantum circuits to predicting ...
Jose L. Salmeron +1 more
doaj +1 more source
In this paper we address interference mitigation through user association and receiver field of view (FOV) optimization in a multi-user indoor optical wireless communication (OWC) scenario.
Iman Abdalla +2 more
doaj +1 more source
Graph Learning Over Partially Observed Diffusion Networks: Role of Degree Concentration
This work examines the problem of learning the topology of a network from the samples of a diffusion process evolving at the network nodes, under the restriction that a limited fraction thereof is probed (partial observability).
Vincenzo Matta +2 more
doaj +1 more source
Rate Control With Spatial Reuse for Wi-Fi 6 Dense Deployments
To improve the performance of Wi-Fi networks in dense deployments, the recent IEEE 802.11ax standard introduces a palette of features improving spatial reuse. A key property of these features is dynamic changes in transmit power and the interference from
Alexander Krotov +2 more
doaj +1 more source
The Value of Knowledge Acquired via Online Social Capital: LinkedIn, a South African Perspective
This study investigated the value of a member’s online social capital, in the social networking platform LinkedIn, in the following areas: member’s subject matter proficiency, member’s firm’s problem solving ability, and member’s firm’s innovation ...
Niresh Maharaj, Visvanathan Naicker
doaj +3 more sources
Optimizing Dense Feed-Forward Neural Networks
Deep learning models have been widely used during the last decade due to their outstanding learning and abstraction capacities. However, one of the main challenges any scientist has to face using deep learning models is to establish the network's architecture.
Luis Balderas +2 more
openaire +4 more sources
Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions
The global surge of connected devices and multimedia services necessitates increased capacity and coverage of communication networks. One approach to address the unprecedented rise in capacity and coverage requirement is deploying several small cells to ...
Amna Mughees +3 more
doaj +1 more source
Simulating dense small cell networks [PDF]
6 ...
Alvarez, Pedro +5 more
openaire +2 more sources

