An Information Theoretical Analysis of Human Insulin-Glucose System Towards The Internet of Bio-Nano Things
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7768
- Type
- D - Journal article
- DOI
-
10.1109/TNB.2017.2762160
- Title of journal
- IEEE Transactions on Nanobioscience
- Article number
- -
- First page
- 783
- Volume
- 16
- Issue
- 8
- ISSN
- 1558-2639
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper contributed towards Akan being awarded the ACM NanoCom Outstanding Milestone Award "in recognition of his foundational contributions in developing theoretical and experimental molecular communication models for neural systems and brain." (http://nanocom.acm.org/nanocom2019/awards.php).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
