Digital Watermarking Based on Joint DWT–DCT and OMP Reconstruction
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01112-2
Abstract: AbstractWith the rapid development of communication technology and multimedia technology, digital watermark has played an important role in the protection of various forms of digital media works. In this paper, digital watermarking algorithms of wavelet… read more here.
Keywords: reconstruction; digital watermarking; based joint; watermarking based ... See more keywords
Distributed process monitoring based on joint mutual information and projective dictionary pair learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2021.09.002
Abstract: Abstract In modern industrial processes, each subsystem interacts frequently and involves a large number of process variables with complex relations, which challenge process monitoring. In this paper, a distributed process monitoring method based on joint… read more here.
Keywords: information; process; based joint; process monitoring ... See more keywords
Learning-Based Joint Configuration for Cellular Networks
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DOI: 10.1109/jiot.2018.2846723
Abstract: Cellular network configuration is critical for network performance. Current practice is mostly based on field experience and manual adjustment. The process is labor-intensive, error-prone, and far from optimal. To automate and optimize cellular network configuration,… read more here.
Keywords: network; configuration; utility function; network configuration ... See more keywords
OTFS-Based Joint Communication and Sensing for Future Industrial IoT
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3139683
Abstract: Effective wireless communications are increasingly important in maintaining the successful closed-loop operation of mission-critical industrial Internet-of-Things (IIoT) applications. To meet the ever-increasing demands on better wireless communications for IIoT, we propose an orthogonal time-frequency space… read more here.
Keywords: joint communication; sensing future; communication sensing; otfs based ... See more keywords
Log-Euclidean Kernel-Based Joint Sparse Representation for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2952408
Abstract: Motivated by the superior performance of region covariance descriptor, we use covariance matrices as new features to replace the original spectral pixel features, and employ a Log-Euclidean metric to characterize the geodesic distance between symmetric… read more here.
Keywords: kernel based; euclidean kernel; covariance; based joint ... See more keywords
Pansharpening Based on Joint-Guided Detail Extraction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3032472
Abstract: Pansharpening is the process of fusing low spatial resolution multispectral (MS) images with high spatial resolution panchromatic (PAN) images, so as to obtain high spatial resolution multispectral (HRMS) images. In this article, a new pansharpening… read more here.
Keywords: detail extraction; guided detail; based joint; image ... See more keywords
A Service-Based Joint Model Used for Distributed Learning: Application for Smart Agriculture
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.3048671
Abstract: Distributed analytics facilitate to make the data-driven services smarter for a wider range of applications in many domains, including agriculture. The key to producing services at such level is timely analysis for deriving insights from… read more here.
Keywords: application; agriculture; joint model; model ... See more keywords
Generalized Bayes Estimation Based on a Joint Type-II Censored Sample from K-Exponential Populations
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11092190
Abstract: Generalized Bayes is a Bayesian study based on a learning rate parameter. This paper considers a generalized Bayes estimation to study the effect of the learning rate parameter on the estimation results based on a… read more here.
Keywords: exponential populations; censored sample; bayes estimation; estimation ... See more keywords