Sökning: WFRF:(Ahlgren Fredrik 1980 ) >
Crowdsourcing Throu...
Crowdsourcing Through TinyML as aWay to Engage End-Users in IoT Solutions
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- Manzoni, Pietro (författare)
- Universitat Politecnica de Valencia, Spain
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- Zennaro, Marco (författare)
- The Abdus Salam International Centre for Theoretical Physics, Italy
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- Ahlgren, Fredrik, Senior Lecturer, 1980- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
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- Olsson, Tobias, 1974- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Software and Information Quality
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- Prandi, Catia (författare)
- University of Bologna, Italy
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(creator_code:org_t)
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- Switzerland : Springer, 2023
- 2023
- Engelska.
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Ingår i: Mobile Crowdsourcing. - Switzerland : Springer. - 9783031323973 - 9783031323966 ; , s. 359-387
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It presents state-of-the-art content and provides an in-depth overview of the basic background in this related field. Crowdsourcing involves a large crowd of participants working together to contribute or produce goods and services for the society. The early 21st century applications of crowdsourcing can be called crowdsourcing 1.0, which includes businesses using crowdsourcing to accomplish various tasks, such as the ability to offload peak demand, access cheap labor, generate better results in a timely matter, and reach a wider array of talent outside the organization. Mobile crowdsensing can be described as an extension of crowdsourcing to the mobile network to combine the idea of crowdsourcing with the sensing capacity of mobile devices. As a promising paradigm for completing complex sensing and computation tasks, mobile crowdsensing serves the vital purpose of exploiting the ubiquitous smart devices carried by mobile users to make conscious or unconscious collaboration through mobile networks. Considering that we are in the era of mobile internet, mobile crowdsensing is developing rapidly and has great advantages in deployment and maintenance, sensing range and granularity, reusability, and other aspects. Due to the benefits of using mobile crowdsensing, many emergent applications are now available for individuals, business enterprises, and governments. In addition, many new techniques have been developed and are being adopted.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Nyckelord
- Internet of Things
- IoT
- Crowd sourcing
- Machine Learning
- ML
- TinyML
- Software Technology
- Programvaruteknik
Publikations- och innehållstyp
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- kap (ämneskategori)
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