Journal article 144 views 19 downloads
QED-Net: Quantum Emotional Dynamics Synthesis Network for Sentiment Analysis in Medical IoT
Kamran Ahmad Awan
,
Mueen Uddin
,
Meshari Huwaytim Alanazi
,
Muhammad Shahid Anwar
,
Khursheed Aurangzeb
,
Cheng Cheng
IEEE Transactions on Computational Social Systems, Pages: 1 - 10
Swansea University Author:
Cheng Cheng
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1109/tcss.2025.3584041
Abstract
QED-Net: Quantum Emotional Dynamics Synthesis Network for Sentiment Analysis in Medical IoT
| Published in: | IEEE Transactions on Computational Social Systems |
|---|---|
| ISSN: | 2329-924X |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2025
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70106 |
| Keywords: |
Sentiment analysis, Wave functions, Real-time systems, Mathematical models, Brain modeling, Adaptation models, Predictive models, Data models, Analytical models, Data integration |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported in part by the Deanship of Scientific Research at Northern Border University, Arar, KSA, under Grant NBUFFR-2025-1180-02, in part by the Researchers Supporting Project through
King Saud University, Riyadh, Saudi Arabia, under Grant RSPD2025R947, and in part by the Ongoing Research Funding Program, King Saud University, Riyadh, Saudi Arabia, under Grant ORF-2025 947 |
| Start Page: |
1 |
| End Page: |
10 |

