Results 41 to 50 of about 14,098 (299)

A Hierarchical Routing Scheme With Load Balancing in Software Defined Vehicular Ad Hoc Networks

open access: yesIEEE Access, 2018
The vast majority of routing approaches for vehicular ad hoc networks (VANETs) are distributed, which are ineffective to exploit the global networking information and easily lead to local optimum, appearing as sparse connectivity and network congestion ...
Yangshui Gao   +4 more
doaj   +1 more source

Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
The spatial distribution of crops is an important agricultural parameter, which is used to derive important information about crop productivity and food security.
Shuai Yan   +8 more
doaj   +1 more source

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Second Workshop on Sparse Grids and Applications [PDF]

open access: yes, 2014
Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse grids make it possible to ...
Garcke, Jochen, Pflüger, Dirk
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

New Approaches for Particle Tracing on Sparse Grids [PDF]

open access: yes, 1999
Flow visualization tools based on particle methods continue to be an important utility of flow simulation. Additionally, sparse grids are of increasing interest in numerical simulations.
Ertl, Thomas, Teitzel, Christian
core   +1 more source

Efficient Compressed Sensing Based Non-Sample Spaced Sparse Channel Estimation in OFDM System

open access: yesIEEE Access, 2019
This paper aims to develop an efficient compressed sensing (CS) based channel estimation method for non-sample spaced sparse channels in orthogonal frequency division multiplexing (OFDM) systems, which can effectively balance the channel estimation ...
Hui Xie   +3 more
doaj   +1 more source

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

open access: yesScientific Reports, 2023
Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes ...
Jianning Li   +5 more
doaj   +1 more source

Space-Time Approximation with Sparse Grids [PDF]

open access: yesSIAM Journal on Scientific Computing, 2006
In this article we introduce approximation spaces, especially suited for the approximation of solutions of parabolic problems, which are based on the tensor product construction of a multiscale basis in space and a multiscale basis in time. Proper truncation then leads to so-called space-time sparse grid spaces.
Griebel, M, Oeltz, D, Vassilevski, P S
openaire   +1 more source

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