Results 11 to 20 of about 336,798 (291)

Coherent backscattering in the topological Hall effect

open access: yesMaterials for Quantum Technology, 2023
The mutual interplay between electron transport and magnetism has attracted considerable attention in recent years, primarily motivated by strategies to manipulate magnetic degrees of freedom electrically, such as spin–orbit torques and domain wall ...
Hong Liu   +3 more
doaj   +1 more source

Learning temporal attention in dynamic graphs with bilinear interactions.

open access: yesPLoS ONE, 2021
Reasoning about graphs evolving over time is a challenging concept in many domains, such as bioinformatics, physics, and social networks. We consider a common case in which edges can be short term interactions (e.g., messaging) or long term structural ...
Boris Knyazev   +2 more
doaj   +1 more source

Global and Local Information in Clustering Labeled Block Models [PDF]

open access: yes, 2014
The stochastic block model is a classical cluster-exhibiting random graph model that has been widely studied in statistics, physics and computer science.
Kanade, Varun   +2 more
core   +3 more sources

An In-Network Cooperative Storage Schema Based on Neighbor Offloading in a Programmable Data Plane

open access: yesFuture Internet, 2021
In scientific domains such as high-energy particle physics and genomics, the quantity of high-speed data traffic generated may far exceed the storage throughput and be unable to be in time stored in the current node.
Shoujiang Dang, Rui Han
doaj   +1 more source

Weather-Aware Wake-Up of Sleeping Cyber-Physical IoT Nodes

open access: yes2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2023
Cyber-physical IoT nodes located in environments which are resource-constrained and physically hard to access, like the Arctic tundra, must achieve long operational lifetimes from a single battery and report data over data networks. The nodes sleep most of the time, and only wake up to perform mission tasks, including reporting data.
Kristensen, Steffen Ole Randrup   +4 more
openaire   +2 more sources

A identification method for critical causes of lifting injuries based on topological potential

open access: yesPLoS ONE, 2023
In view of the deficiency that the traditional importance ranking method cannot be used to objectively and comprehensively evaluate the importance of the causes of hoisting injuries, an importance ranking method based on topological potential is proposed
Yingliu Yang, Lianghai Jin
doaj   +2 more sources

DP-FT: A Differential Privacy Graph Generation With Field Theory for Social Network Data Release

open access: yesIEEE Access, 2019
Many data analysis applications rely on social networks that contain abundant information about individuals. Nevertheless, these applications can leak private information about individuals in social networks.
Hong Zhu, Xin Zuo, Meiyi Xie
doaj   +1 more source

Gravitomagnetic effects in Kerr-de Sitter space-time [PDF]

open access: yes, 2009
We explicitly worked out the orbital effects induced on the trajectory of a test particle by the the weak-field approximation of the Kerr-de Sitter metric.
Iorio, Lorenzo, Ruggiero, Matteo Luca
core   +1 more source

H-TOSSIM: Extending TOSSIM with Physical Nodes

open access: yesWireless Sensor Network, 2009
As the development of Wireless Sensor Network (WSN), software testing for WSN-based applications be-comes more and more important. Simulation testing is an important approach to WSN-based software testing, and TOSSIM is the most widely used simulation testing tool targeted at TinyOS which is the most popular operating system nowadays.
Wenjun LI   +3 more
openaire   +2 more sources

HyperTrack: Neural Combinatorics for High Energy Physics [PDF]

open access: yesEPJ Web of Conferences
Combinatorial inverse problems in high energy physics span enormous algorithmic challenges. This work presents a new deep learning driven clustering algorithm that utilizes a space-time non-local trainable graph constructor, a graph neural network, and a
Mieskolainen Mikael
doaj   +1 more source

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