Research output per year
Research output per year
Organisation profile
Organisation profile
Trusted Things and Communities: Understanding and Enabling a Trusted IoT Ecosystem
Fingerprint
Dive into the research topics where Trusted Things and Communities is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Milan Markovic
- School of Natural & Computing Sciences, Computing Science - Interdisciplinary Fellow
- Trusted Things and Communities
Person: Academic, Academic Related - Research
Research output
-
TEC: Transparent Emissions Calculation Toolkit
Markovic, M., Garijo, D., Germano, S. & Naja, I., 14 Jul 2023, (Accepted/In press) The Semantic Web: ISWC 2023. Springer Nature, 19 p. (Lecture Notes on Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
-
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
Li, A., Markovic, M., Edwards, P. & Leontidis, G., 19 Apr 2023, ArXiv, 31 p.Research output: Working paper › Preprint
File -
Designing Physical and Virtual Walkshop Methods for Speculative Internet of Things Research
Kwon, N., Jacobs, N., Mullagh, L., Cavada, M., Markovic, M., Wainwright, B., Chekansky, K. & Cooper, R., 10 Nov 2023, DIGICOM 2022: Advances in Design and Digital Communication III. Martins, N. & Brandao, D. (eds.). Springer Nature, p. 392-405 14 p. (Springer Series in Design and Innovation; vol. 27).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Datasets
-
Tweets used to study reports of food fraud related to fish products 2018
Edwards, P. (Creator), Markovic, M. (Creator), Petrunova, N. N. (Creator) & Corsar, D. (Creator), UK Data Service, 16 Nov 2018
DOI: 10.5255/UKDA-SN-853378 , https://gtr.ukri.org/projects?ref=ES%2FP011004%2F1
Dataset
-
Tweets used to explore the potential role of social media data in responding to new and emewrging forms of food fraud 2018
Edwards, P. (Creator), Markovic, M. (Creator), Petrunova, N. N. (Creator), Lin, C. (Creator) & Corsar, D. (Creator), UK Data Service, 16 Nov 2018
Dataset
-
Tweets used to explore causes of self-reported foodbourne illnesses on social media 2017
Edwards, P. (Creator), Markovic, M. (Creator), Petrunova, N. N. (Creator), Lin, C. (Creator) & Corsar, D. (Creator), UK Data Service, 16 Nov 2018
Dataset
Press/Media
-
One Last Thing: Why Designers Are Making Real Versions of Imaginary Objects.
Naomi Jacobs
14/09/18
1 Media contribution
Press/Media: Research