Results 61 to 70 of about 6,576 (183)

Improving Both Quantity and Quality: Incentive Mechanism for Social Mobile Crowdsensing Architecture

IEEE Access, 2018
Mobile crowdsensing has emerged as an efficient paradigm for performing large-scale sensing tasks. Improving both the quantity and quality of users is still the pivotal problem for mobile crowdsensing system.
Jia Xu, Weiwei Bao, Huayue Gu, Lijie Xu, Guoping Jiang   +4 more
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, Nosrat Riahinia, Omid Mahdi Ebadati E, Ali Azimi   +3 more
wiley   +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, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan, Dimitrios A. Karras   +4 more
wiley   +1 more source

CSWA: Aggregation-Free Spatial-Temporal Community Sensing

, 2017
In this paper, we present a novel community sensing paradigm -- {C}ommunity {S}ensing {W}ithout {A}ggregation}. CSWA is designed to obtain the environment information (e.g., air pollution or temperature) in each subarea of the target area, without ...
Bian, Jiang, Das, Sajal K., Fu, Yanjie, Xiong, Haoyi   +3 more
core   +1 more source

A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT

IEEE Access, 2020
In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in MCS can help address many challenges the centralized MCS solutions are facing such as delays in ...
Hanane Lamaazi, Rabeb Mizouni, Shakti Singh, Hadi Otrok   +3 more
doaj   +1 more source

CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

Applied Sciences, 2022
Crowdsensing using mobile phones is a novel addition to the Internet of Things applications suite. However, there are many challenges related to crowdsensing, including (1) the ability to manage a large number of mobile users with varying devices ...
Sujith Samuel Mathew, May El Barachi, Mohammad Amin Kuhail   +2 more
doaj   +1 more source

Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation

IEEE Transactions on Intelligent Vehicles
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse ...
Wansen Wu, Weiyi Yang, Juanjuan Li, Yong Zhao, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Yong Peng, Fei-Yue Wang   +8 more
openaire   +2 more sources

A Privacy‐Preserving Federated Learning Framework for Ambient Temperature Estimation With Crowdsensing and Exponential Mechanism

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, Rasool Esmaeilyfard, Pirooz Shamsinejadbabaki, Richard Murray   +3 more
wiley   +1 more source

Map++: A Crowd-sensing System for Automatic Map Semantics Identification

, 2015
Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich semantic information to support a large class of mapping applications. In this paper,
Aly, Heba, Basalamah, Anas, Youssef, Moustafa   +2 more
core   +1 more source

Engaging the Crowd in Sensing for Smart Mobility: A Discrete Choice Experiment

IEEE Open Journal of Intelligent Transportation Systems, 2023
With rising numbers of people living in cities leading to increasing congestion and pollution, mobile crowdsensing applications form a potential solution to make transport systems smarter and more efficient.
Ria Johanna van Den Boogert, Aaron Yi Ding   +1 more
doaj   +1 more source