A review of graph-powered data quality applications for IoT monitoring sensor networks
The development of Internet of Things (IoT) technologies has led to the widespread adoption
of monitoring networks for a wide variety of applications, such as smart cities, environmental …
of monitoring networks for a wide variety of applications, such as smart cities, environmental …
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
In the era of data information explosion, there are different observations on an object (eg, the
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …
Borehole lithology modelling with scarce labels by deep transductive learning
J Wang, J Li, K Li, Z Li, Y Kang, J Chang, W Lv - Computers & Geosciences, 2024 - Elsevier
Geophysical logging is a geo-scientific instrument that detects information such as electric,
acoustic, and radioactive properties of a well. Its data plays a vital role in interpreting …
acoustic, and radioactive properties of a well. Its data plays a vital role in interpreting …
Dehaze-TGGAN: Transformer-Guide Generative Adversarial Networks with Spatial-Spectrum Attention for Unpaired Remote Sensing Dehazing
Satellite imagery plays a critical role in target detection. However, the quality and usability of
optical remote sensing images can be severely compromised by atmospheric conditions …
optical remote sensing images can be severely compromised by atmospheric conditions …
Binarized simplicial convolutional neural networks
Abstract Graph Neural Networks have the limitation of processing features solely on graph
nodes, neglecting data on high-dimensional structures such as edges and triangles …
nodes, neglecting data on high-dimensional structures such as edges and triangles …
How clustering affects the convergence of decentralized optimization over networks: a Monte-Carlo-based approach
Decentralized algorithms have gained substantial interest owing to advancements in cloud
computing, Internet of Things (IoT), intelligent transportation networks, and parallel …
computing, Internet of Things (IoT), intelligent transportation networks, and parallel …
Generalized sampling of multi-dimensional graph signals based on prior information
D Wei, Z Yan - Signal Processing, 2024 - Elsevier
The prevalence of multi-dimensional (mD) graph signals in various real-world applications,
such as digital images and data with spatial and temporal dimensions, highlights their …
such as digital images and data with spatial and temporal dimensions, highlights their …
Blind deconvolution on graphs: Exact and stable recovery
We study a blind deconvolution problem on graphs, which arises in the context of localizing
a few sources that diffuse over networks. While the observations are bilinear functions of the …
a few sources that diffuse over networks. While the observations are bilinear functions of the …
Fourier analysis of signals on directed acyclic graphs (dag) using graph zero-padding
Directed acyclic graphs (DAGs) are used for modeling causal relationships, dependencies,
and flows in various systems. However, spectral analysis becomes impractical in this setting …
and flows in various systems. However, spectral analysis becomes impractical in this setting …
Dynamic context-aware pyramid network for infrared small target detection
X Chen, J Li, T Gao, Y Piao, H Ji… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Detecting faint and diminutive infrared targets devoid of clearly defined shape and texture
details in intricate surroundings remains a formidable challenge within the domain of target …
details in intricate surroundings remains a formidable challenge within the domain of target …