Edge ai: leveraging the full potential of deep learning
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Edge computing devices such as IoT sensors and edge gateways often have fewer processing resources than central clouds.
“Computing Resources: Edge computing devices, such as IoT sensors and edge gateways, often have fewer processing resources than central clouds [148].”
From Edge AI: A survey (2023) · cites this paper as [148]
AI systems are very helpful in settings with real challenges for end customers because they can interpret analogue metadata such as language, images, audio, scents, temperatures, and emotions.
“AI systems are very helpful in settings with real challenges for end customers because they can interpret analogue types of metadata such as language, images, audio, scents, temperatures, emotions, and more [148].”
From Edge AI: A survey (2023) · cites this paper as [148]
The citation lists haven’t been fetched yet
References 76 · Cited by 18
- Authors
- Shuvo, M. M. H.
- Affiliations
- University of Missouri (US)
- Corresponding author
- Shuvo, Md Maruf Hossain
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 27-46
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W4312996489
- Cited by
- 18
- References
- 76
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 3
- FWCI
- 12.30
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- edge AI, edge computing, deep learning, model compression, resource constraints, Internet of Things, cyber-physical systems, latency reduction, data privacy, real-time decision making
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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