Internet of Things (IoT): A vision, architectural elements, and future directions
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Biased models are particularly problematic when consequences and implications are significant, such as with criminal justice risk scores and credit offers.
“This is particularly problematic when consequences and implications are significant, such as with criminal justice risk scores and credit offers [36]”
From Decision Provenance: Harnessing Data Flow for Accountable Systems (2019) · cites this paper as [36]
There are smart city strategies that focus on the efficiency and advancement of hard infrastructures (e.g., transport, energy, communication, distribution networks) and those that prioritise soft infrastructures (e.g., social and human capital, participation, equity, safety, cultural heritage).
“In other words, there are smart city strategies that focus on the efficiency and advancement of hard infrastructures in terms of transport, energy, communication, and distribution networks, and so on (e.g., [45,52,74,79,83,93]) and those that prioritise the soft infrastructures in terms of social and human capital, participation, equity, safety, cultural heritage, and so forth (e.g., [7,17,75,76,8”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [52]
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- Authors
- Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Buyya, Rajkumar
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 29
- Issue
- 7
- Pages
- 1645-1660
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2111619626
- Cited by
- 12,293
- References
- 68
- Citations by year
- 2026: 567 · 2025: 720 · 2024: 693 · 2023: 752 · 2022: 872 · 2021: 1244 · 2020: 1426 · 2019: 1616 · 2018: 1519 · 2017: 1214 · 2016: 909 · 2015: 488 · 2014: 230 · 2013: 36 · 2012: 4
- FWCI
- 729.26
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Future Generation Computer Systems (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- ELARTU (Ternopil National Technical University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Australian Research Council (LP120100529, LE120100129)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- Internet of Things, wireless sensor networks, ubiquitous sensing, cloud computing, RFID, sensor-actuator networks, common operational picture, Web3, distributed computing, IoT architecture
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