Results 81 to 90 of about 1,427,497 (206)
Corporate 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
Sustainable Incentive Mechanisms for Mobile Crowdsensing Part 2
, 2017 The articles in this special section focus on incentive mechanisms for mobile crowdsensing. Mobile crowdsensing is a promising technique in which a large amount of mobile devices collectively share data to measure, map, analyze, or estimate any processes
Qi Li +14 more
core +1 more source
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
WIREs 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
Multidimensional context-aware social network architecture for mobile crowdsensing
, 2014 This article proposes a multidimensional context-aware social network architecture, which aims to provide a mobile ecosystem to enable context awareness in the development and utilization of mobile crowdsensing applications.
Ngai, Edith C.-H., +6 more
core +1 more source
SECURITY 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
Crowdsensing big data:sensing,data selection,and understanding
大数据, 2017 Mobile crowdsensing (MCS) has become an emerging paradigm for large-scale sensing.It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g.,smartphones,wearable devices),aggregates and fuses the data in the ...
Bin GUO +3 more
doaj
Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
Sensors, 2015 The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by ...
Paweł Foremski +3 more
doaj +1 more source
Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 14, Page 2122-2139, 15 July 2024.Abstract Drive‐by structural health monitoring (SHM) is a cost‐efficient alternative to the direct SHM of short‐ to medium‐size bridges requiring no sensors to be installed on the structure. However, drive‐by SHM is generally known as a short‐term monitoring technique due to the challenges associated with using multiple passages of instrumented ...
Hoofar Shokravi +3 more
wiley +1 more source
Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data
Structural Control and Health Monitoring, Volume 2024, Issue 1, 2024.Traditional bridge health monitoring methods that necessitate sensor installation are not only costly but also time‐consuming. In contrast, utilizing smartphone data collected from vehicles as they traverse bridges offers an efficient and cost‐effective alternative. This paper introduces a cutting‐edge damage detection framework for indirect monitoring
Mohammad Talebi-Kalaleh +2 more
wiley +1 more source
Mobile crowdsensing with mobile agents
, 2017 We introduce mobile agents for mobile crowdsensing. Crowdsensing campaigns are designed through different roles that are implemented as mobile agents. The role-based tasks of mobile agents include collecting data, analyzing data and sharing data in the ...
Leppänen, T. (Teemu) +4 more
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