Evaluation of RNA secondary structure prediction for both base-pairing and topology
Biophysics Reports, 2018 Graphical abstractAbstractSecondary structures of RNAs are crucial to the understanding of their tertiary structures and functions. At present, many theoretical methods are widely used to predict RNA secondary structures. The performance of these methods
Yunjie Zhao +3 more
semanticscholar +1 more source
A universal approach to coverage probability and throughput analysis for cellular networks [PDF]
, 2015 This paper proposes a novel tractable approach for accurately analyzing both the coverage probability and the achievable throughput of cellular networks.
Chen, Sheng +4 more
core +1 more source
Steve Smale and Geometric Mechanics [PDF]
, 1993 Thus, one can say-perhaps with only a slight danger of oversimplification- that reduction theory synthesises the work of Smale, Arnold (and their predecesors of course) into a bundle, with Smale as the base and Arnold as the fiber.
Marsden, Jerrold E.
core +1 more source
A New Analysis of the DS-CDMA Cellular Uplink Under Spatial Constraints [PDF]
, 2013 A new analysis is presented for the direct-sequence code-division multiple access (DS-CDMA) cellular uplink. For a given network topology, closed-form expressions are found for the outage probability and rate of each uplink in the presence of path ...
Talarico, Salvatore +2 more
core +1 more source
Design of a Broadband Amplifier for High Speed Applications [PDF]
, 2002 This paper provides comprehensive insight into the design approach followed for an amplifier dedicated to high speed base band signals. To demonstrate the methodology, an amplifier consisting of nine PHEMT cascode cells within a distributed amplifier ...
Camargo, E. +4 more
core +1 more source
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling [PDF]
International Conference on Intelligent Cloud Computing, 2019 Decentralized stochastic gradient descent (SGD) is a promising approach to learn a machine learning model over a network of workers connected in an arbitrary topology.
Jianyu Wang +4 more
semanticscholar +1 more source
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey [PDF]
ACM Computing Surveys, 2023 The ultra-low latency requirements of 5G/6G applications and privacy constraints call for distributed machine learning systems to be deployed at the edge.
Jiajun Wu +5 more
semanticscholar +1 more source
Families of Group Actions, Generic Isotriviality, and Linearization [PDF]
, 2014 We study families of reductive group actions on A2 parametrized by curves and show that every faithful action of a non-finite reductive group on A3 is linearizable, i.e. G-isomorphic to a representation of G.
Kraft, Hanspeter, Russell, Peter
core +1 more source
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition [PDF]
IEEE International Conference on Computer Vision, 2021 Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregation and therefore is the key to extracting representative features.
Yuxin Chen +5 more
semanticscholar +1 more source
Acoustic non-Hermitian skin effect from twisted winding topology [PDF]
Nature Communications, 2021 The recently discovered non-Hermitian skin effect (NHSE) manifests the breakdown of current classification of topological phases in energy-nonconservative systems, and necessitates the introduction of non-Hermitian band topology.
Li Zhang +13 more
semanticscholar +1 more source