Results 261 to 270 of about 720,784 (299)

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth, Thomas Jerkovits, Anupama Hegde, Thomas Delamotte, Andreas Knopp   +4 more
wiley   +1 more source

SRTRL: Shared Radar-Communication Temporal Representation Learning for Beam Prediction in Vehicular and UAV mmWave Networks. [PDF]

Sensors (Basel)
Wang G, Wu Q, Zhu L, Yang T, Jiang L.
europepmc   +1 more source

SPIDER: spatially integrated denoising via embedding regularization with single cell supervision. [PDF]

Bioinformatics
Ansari MI, Alif MN, Zhang W.
europepmc   +1 more source

ZILA-SRM: a probabilistic framework with zero-inflated latent models for robust strain reconstruction from metagenomes. [PDF]

Microbiol Spectr
Wang S, Chen M, Jiao D.
europepmc   +1 more source

Time series-based forecasting of infectious disease outbreak using information systems in public health. [PDF]

Front Public Health
Du M.
europepmc   +1 more source

Adaptive kNN graph model. [PDF]

Nat Commun
Li J, Xu H, Zhang S.
europepmc   +1 more source

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

IEEE Transactions on Knowledge and Data Engineering, 2016
© 1989-2012 IEEE. Many graph-based semi-supervised learning methods for large datasets have been proposed to cope with the rapidly increasing size of data, such as Anchor Graph Regularization (AGR).
Dacheng Tao, Meng Wang, Weijie Fu
exaly   +2 more sources

Nonlocal Graph Regularization for Image Colorization

, 2008
International audienceIn this paper we present a simple colorization method that relies on nonlocal graph regularization. We introduce nonlocal discrete differential operators and a family of weighted p-Laplace operators.
Olivier Lézoray, Abderrahim Elmoataz
exaly   +2 more sources