Results 61 to 70 of about 3,090 (173)
A3Droid: A framework for developing distributed crowdsensing
, 2016 The amount and diversity of sensors on modern mobile devices, together with the computing performance that these devices can guarantee, make crowdsensing an important alternative to traditional sensor networks.
Mendonça, D. F. +3 more
core +1 more source
Incentivizing Verifiable Privacy-Protection Mechanisms for Offline Crowdsensing Applications
Sensors, 2017 Incentive mechanisms of crowdsensing have recently been intensively explored. Most of these mechanisms mainly focus on the standard economical goals like truthfulness and utility maximization.
Jiajun Sun, Ningzhong Liu
doaj +1 more source
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
Scalable Stream Processing with Quality of Service for Smart City Crowdsensing Applications
EAI Endorsed Transactions on Mobile Communications and Applications, 2013 Crowdsensing is emerging as a powerful paradigm capable of leveraging the collective, though imprecise, monitoring capabilities of common people carrying smartphones or other personal devices, which can effectively become real-time mobile sensors ...
Paolo Bellavista +2 more
doaj +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
Enabling Dynamic Crowdsensing through Models@Runtime [PDF]
, 2016 The complexity of applications in the mobile crowdsensing domain is due to factors such as interoperability among heterogeneous devices, recruiting of devices, collection of data from these devices, and adaptation of application operation in dynamic ...
da Rocha, Ricardo Couto Antunes +2 more
core +1 more source
Mobile Crowdsensing και Εφαρμογές [PDF]
, 2016 Η ραγδαία ανάπτυξη της τεχνολογίας έχει οδηγήσει, μεταξύ άλλων, και στη ραγδαία αύξηση των ατόμων που κατέχουν έξυπνα κινητά και συσκευές, εξοπλισμένα με αισθητήρες και ισχυρούς επεξεργαστές.
Βρυώνη Βασιλική +1 more
core +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
Structural Control and Health Monitoring, Volume 2025, Issue 1, 2025.As aging bridge infrastructure poses increasing safety risks, there is a critical need for reliable and scalable Structural Health Monitoring (SHM) systems. Traditional SHM methods, which rely on fixed sensor networks and assessments of individual bridges, face significant challenges in scalability, cost, and efficiency—particularly in complex urban ...
Jiangyu Zeng +3 more
wiley +1 more source