Zobrazeno 1 - 10
of 64 657
pro vyhledávání: '"Edge based"'
Edge-based network models, especially those based on bond percolation methods, can be used to model disease transmission on complex networks and accommodate social heterogeneity while keeping tractability. Here we present an application of an edge-ba
Externí odkaz:
http://arxiv.org/abs/2410.13024
Publikováno v:
ITU Journal on Future and Evolving Technologies, Volume 5 (2024), Issue 1, Pages 26-46
Cascade systems, consisting of a lightweight model processing all samples and a heavier, high-accuracy model refining challenging samples, have become a widely-adopted distributed inference approach to achieving high accuracy and maintaining a low co
Externí odkaz:
http://arxiv.org/abs/2412.04147
Smart metering networks are increasingly susceptible to cyber threats, where false data injection (FDI) appears as a critical attack. Data-driven-based machine learning (ML) methods have shown immense benefits in detecting FDI attacks via data learni
Externí odkaz:
http://arxiv.org/abs/2411.01313
Autor:
Fernandes, Danilo, Moura, Douglas L. L., Santos, Gean, Ramos, Geymerson S., Queiroz, Fabiane, Aquino, Andre L. L.
The rapid urbanization growth has underscored the need for innovative solutions to enhance transportation efficiency and safety. Intelligent Transportation Systems (ITS) have emerged as a promising solution in this context. However, analyzing and pro
Externí odkaz:
http://arxiv.org/abs/2409.02808
Autor:
Chen, Zijian, Varkanitsa, Maria, Ishwar, Prakash, Konrad, Janusz, Betke, Margrit, Kiran, Swathi, Venkataraman, Archana
We propose a lesion-aware graph neural network (LEGNet) to predict language ability from resting-state fMRI (rs-fMRI) connectivity in patients with post-stroke aphasia. Our model integrates three components: an edge-based learning module that encodes
Externí odkaz:
http://arxiv.org/abs/2409.02303
In the last years, many neural network-based approaches have been proposed to tackle combinatorial optimization problems such as routing problems. Many of these approaches are based on graph neural networks (GNNs) or related transformers, operating o
Externí odkaz:
http://arxiv.org/abs/2408.16717
Optical proximity correction (OPC) is crucial for pushing the boundaries of semiconductor manufacturing and enabling the continued scaling of integrated circuits. While pixel-based OPC, termed as inverse lithography technology (ILT), has gained resea
Externí odkaz:
http://arxiv.org/abs/2408.08969
Graph-structured data naturally occurs in many research fields, such as chemistry and sociology. The relational information contained therein can be leveraged to statistically model graph properties through geometrical deep learning. Graph neural net
Externí odkaz:
http://arxiv.org/abs/2409.11856
In recent years, deep learning-based image compression, particularly through generative models, has emerged as a pivotal area of research. Despite significant advancements, challenges such as diminished sharpness and quality in reconstructed images,
Externí odkaz:
http://arxiv.org/abs/2409.10978