Reference health

A Deep Learning Scheme for Efficient Multimedia Iot Data Compression

https://doi.org/10.2139/ssrn.4000298
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16/16 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

31 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 16 checked references that resolve
resolves10.1109/ACCESS.2020.2964280
Multimedia Internet of Things: A Comprehensive Survey
resolves10.1109/30.125072
The JPEG still picture compression standard
resolves10.1109/MNET.2018.1700202
Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing
resolves10.1109/MC.2017.3641648
Enabling Deep Learning on IoT Devices
resolves10.1134/S1054661820040045
Survey of Learning Based Single Image Super-Resolution Reconstruction Technology
resolves10.1145/3404374
Depth Image Denoising Using Nuclear Norm and Learning Graph Model
resolves10.1109/79.952804
The JPEG 2000 still image compression standard
resolves10.1109/iNIS.2015.12
A Hardware Architecture for Better Portable Graphics (BPG) Compression Encoder
resolves10.1109/TCSVT.2003.815165
Overview of the H.264/AVC video coding standard
resolves10.1016/j.neucom.2020.08.056
RGSR: A two-step lossy JPG image super-resolution based on noise reduction
resolves10.1007/s11554-019-00879-6
Deep learning model for real-time image compression in Internet of Underwater Things (IoUT)
resolves10.1016/j.future.2019.02.005
An energy efficient IoT data compression approach for edge machine learning
resolves10.1109/TMM.2017.2741423
F-DES: Fast and Deep Event Summarization
resolves10.1007/s11042-017-4642-9
Eratosthenes sieve based key-frame extraction technique for event summarization in videos
resolves10.1016/j.jvcir.2018.12.009
EVS-DK: Event video skimming using deep keyframe
resolves10.1007/s11042-020-10157-4
Text query based summarized event searching interface system using deep learning over cloud
The 31 references without a DOI — listed, not checked
no DOI — not checkedMultimedia iot systems and applications
no DOI — not checkedA survey of machine and deep learning methods for internet of things (iot) security
no DOI — not checkedA survey on object detection for the internet of multimedia things (iomt) using deep learning and event-based middleware: approaches, challenges, and future directions
no DOI — not checkedQoe in iot: a vision, survey and future directions
no DOI — not checkedref7
no DOI — not checkedDeep learning for image denoising: a survey
no DOI — not checkedDeep learning on image denoising: An overview
no DOI — not checkedref13
no DOI — not checkedDeep multi-view enhancement hashing for image retrieval
no DOI — not checkedPrecise no-reference image quality evaluation based on distortion identification
no DOI — not checkedTask-adaptive attention for image captioning
no DOI — not checkedAge-invariant face recognition by multi-feature fusion and decomposition with self-attention
no DOI — not checkedref21
no DOI — not checkedLearning a deep convolutional network for image super-resolution
no DOI — not checkedAccelerating the super-resolution convolutional neural network
no DOI — not checkedAccurate image super-resolution using very deep convolutional networks
no DOI — not checkedDeeply-recursive convolutional network for image super-resolution
no DOI — not checkedImage super-resolution via deep recursive residual network
no DOI — not checkedMemnet: A persistent memory network for image restoration
no DOI — not checkedPhoto-realistic single image superresolution using a generative adversarial network
no DOI — not checkedImage super-resolution using dense skip connections
no DOI — not checkedResidual dense network for image super-resolution
no DOI — not checkedDeep back-projection networks for super-resolution
no DOI — not checkedDeep bi-dense networks for image super-resolution
no DOI — not checkedDeep residual learning-based enhanced jpeg compression in the internet of things
no DOI — not checkedDeep learning-based adaptive image compression system for a real-world scenario
no DOI — not checkedHigh-fidelity generative image compression
no DOI — not checkedref40
no DOI — not checkedref41
no DOI — not checkedref44
no DOI — not checkedEsumm: Event summarization on scale-free networks
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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