Results 81 to 90 of about 1,414,604 (271)

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

open access: yes, 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   +2 more
core   +1 more source

Multibridge Inference Structural Health Monitoring (MISHM): A Drive‐By Crowdsensing Approach at the Network Level

open access: yesStructural 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

Blockchain‐based incentive mechanism for environmental, social, and governance disclosure: A principal‐agent perspective

open access: yesCorporate Social Responsibility and Environmental Management, Volume 31, Issue 6, Page 6318-6334, November 2024.
Abstract Environmental, social, and governance (ESG) disclosure has drawn much attention from listed companies, investors, and regulators. In response to the increasing demand of investors and regulators for non‐financial information, listed companies have paid attention to publishing ESG reports consisting of environmental, social, and governance ...
Yuxiang Niu   +5 more
wiley   +1 more source

Enhance the Quality of Crowdsensing for Fine-Grained Urban Environment Monitoring via Data Correlation

open access: yesSensors, 2017
Monitoring the status of urban environments, which provides fundamental information for a city, yields crucial insights into various fields of urban research.
Xu Kang, Liang Liu, Huadong Ma
doaj   +1 more source

Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.
Future research directions include exploring diverse meta—heuristic integrations, investigating transfer learning strategies, and advancing techniques for state space reduction. Abstract This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over the last 20 years, highlighting its success in solving complex optimization
Yang Yang   +8 more
wiley   +1 more source

Distributed Time-Sensitive Task Selection in Mobile Crowdsensing

open access: yes, 2015
With the rich set of embedded sensors installed in smartphones and the large number of mobile users, we witness the emergence of many innovative commercial mobile crowdsensing applications that combine the power of mobile technology with crowdsourcing to
Cheung, Man Hon   +3 more
core   +1 more source

Systematic review: Comparing zk‐SNARK, zk‐STARK, and bulletproof protocols for privacy‐preserving authentication

open access: yesSECURITY AND PRIVACY, Volume 7, Issue 5, September/October 2024.
Abstract This systematic literature review examines the implementation and analysis of zk‐SNARK, zk‐STARK, and bulletproof non‐interactive zero‐knowledge proof (NIZKP) protocols in privacy‐preserving applications across diverse sectors. Examining 41 research works obtained through the systematic search queries and filtering criteria published from 2015
Bjorn Oude Roelink   +2 more
wiley   +1 more source

FairCs—Blockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment

open access: yesSensors, 2020
Crowdsensing applications provide platforms for sharing sensing data collected by mobile devices. A blockchain system has the potential to replace a traditional centralized trusted third party for crowdsensing services to perform operations that involve ...
Yihuai Liang, Yan Li, Byeong-Seok Shin
doaj   +1 more source

Mobile crowdsensing incentives under participation uncertainty [PDF]

open access: yesProceedings of the 3rd ACM Workshop on Mobile Sensing, Computing and Communication, 2016
Mobile crowdsensing applications rely on crowds of contributors who are willing to carry out certain tasks of interest. This willingness varies widely across users and tasks and (monetary) incentives are often engaged to strengthen it or make up for its total absence. These incentives need to carefully account for the highly non-homogeneous response of
Micholia, Panagiota   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy