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A Cloud-Edge-Smart IoT Architecture for Speeding Up the Deployment of Neural Network Models with Transfer Learning Techniques

https://doi.org/10.3390/electronics11142255
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.dcan.2017.07.001openalex-snapshot
Edge computing technologies for Internet of Things: a primer
inferredcites →https://doi.org/10.1109/ccbd.2016.029openalex-snapshot
Benchmarking State-of-the-Art Deep Learning Software Tools
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/giots.2017.8016213openalex-snapshot
Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing
inferredcites →https://doi.org/10.1109/jiot.2017.2732735openalex-snapshot
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning
inferredcites →https://doi.org/10.1109/mprv.2009.82openalex-snapshot
The Case for VM-Based Cloudlets in Mobile Computing
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tpami.2013.167openalex-snapshot
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/2831347.2831354openalex-snapshot
Edge-centric Computing
inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot
A survey of transfer learning
inferredcites →https://doi.org/10.1609/aaai.v25i1.8090openalex-snapshot
Heterogeneous Transfer Learning for Image Classification
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4871453openalex-extracted
Enhancing Critical Infrastructure Cybersecurity: Collaborative Dnn Synthesis in the Cloud Continuum
inferred← citeshttps://doi.org/10.1007/s10462-023-10684-0openalex-snapshot
Machine learning methods for service placement: a systematic review
inferred← citeshttps://doi.org/10.1007/s10845-023-02171-8openalex-snapshot
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
inferred← citeshttps://doi.org/10.1007/s11432-022-3671-9openalex-snapshot
Mitigate noisy data for smart IoT via GAN based machine unlearning
inferred← citeshttps://doi.org/10.1016/b978-0-443-36370-2.00028-1openalex-snapshot
Innovative artificial intelligence tools: exploring the future of healthcare through IBM Watson's potential applications
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00127openalex-snapshot
Design and Implementation of Customizable Cloud–Edge–End Cooperated IoT System
inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632462openalex-snapshot
Design and Modelling of a Small-Scale Automated Biogas Digester with AI-Powered Monitoring and Control Capabilities
inferred← citeshttps://doi.org/10.1155/2022/7183207openalex-snapshot
A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set
inferred← citeshttps://doi.org/10.23919/date69613.2026.11539461openalex-snapshot
From Cloud-Heavy to Edge-Ready: Self-supervised Transfer-efficient Emotion Recognition
inferred← citeshttps://doi.org/10.3390/electronics12102164openalex-snapshot
Advances of Future IoE Wireless Network Technology
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