Results 71 to 80 of about 5,841 (261)
Crowdsensing Indoor Walking Paths with Massive Noisy Crowdsourcing User Traces
, 2018 Crowdsensing indoor walking paths based on crowdsourcing traces collected from normal users has recently become an emerging topic for indoor positioning, which can reduce the labor effort of building radio maps and improve the positioning accuracy when a
Li, Zan +11 more
core +1 more source
Fisher information-empowered sensing quality quantification for crowdsensing networks
, 2021 The sensing quality is critical for crowdsensing networks. However, it is still challenging to achieve reliable and accurate quantification on sensing quality. As most existing methods only quantify individual-level sensing quality, they cannot be simply
Guo, S +4 more
core +1 more source
A Generic Framework for Mobile Crowdsensing: A Comprehensive Survey
IEEE AccessMobile Crowdsensing (MCS) has emerged as a powerful paradigm for aggregating sensory data through the collaborative efforts of various mobile devices. Despite the innovative solutions inherent in this paradigm, it also introduces new challenges.
Abderrafi Abdeddine +2 more
semanticscholar +1 more source
EBRP: An Energy-Efficient and Buffer-Aware Routing Protocol for Mobile Crowdsensing Network
International Journal of Distributed Sensor Networks, 2016 Data collection with high efficiency is a key problem for the completion of crowdsensing tasks in Mobile Crowdsensing Networks. Much work has been done on the opportunistic routing problem, but they usually just focused on the sociality of node, and the ...
Huahong Ma +4 more
doaj +1 more source
Crowdsensing and Privacy in Smart City Applications [PDF]
, 2019 Preprint submitted to Book: Smart Cities, Cybersecurity and Privacy ...
Raj Gaire 0001 +6 more
openaire +2 more sources
Towards a Data‐Driven Digital Twin AI‐Based Architecture for Self‐Driving Vehicles
IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.ABSTRACT Recent advancements on digital technologies, particularly artificial intelligence, have been resulted into remarkable transformations in automobile industry. One of these technologies is artificial intelligence (AI). AI plays a key role in the development of autonomous vehicles. In this paper, the role of AI in autonomous vehicle (AV) platform
Parinaz Babaei +3 more
wiley +1 more source
How sustainable is social based mobile crowdsensing? An experimental study
, 2016 The wide spread of smart mobile devices such as tablets and phones makes mobile crowdsensing a viable approach for collecting data and monitoring phenomena of common interest.
Bermejo, Carlos +5 more
core +1 more source
Ensemble Transformer–Based Detection of Fake and AI–Generated News
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.The proliferation of fake online and AI–generated news content poses a significant threat to information integrity. This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content.
Md. Ishraquzzaman +4 more
wiley +1 more source
Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach
ISPRS International Journal of Geo-Information, 2020 Accurate information of traffic regulators at junctions is important for navigating and driving in cities. However, such information is often missing, incomplete or not up-to-date in digital maps due to the high cost, e.g., time and money, for data ...
Hao Cheng +2 more
doaj +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Ambient temperature estimation plays a vital role in various domains, including environmental monitoring, smart cities, and energy‐efficient systems. Traditional sensor‐based methods suffer from high deployment costs and limited scalability, while centralized machine learning approaches raise significant privacy concerns.
Saeid Zareie +3 more
wiley +1 more source