Results 71 to 80 of about 3,090 (173)
Towards System Implementation and Data Analysis for Crowdsensing Based Outdoor RSS Maps
IEEE Access, 2018 With the explosive usage of smart mobile devices, sustainable access to wireless networks (e.g., Wi-Fi) has become a pervasive demand. Most mobile users expect seamless network connection with low cost.
Xiaochen Fan +6 more
doaj +1 more source
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
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
Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing
IEEE Access, 2018 Sweep coverage is an important covering technique in mobile crowdsensing, in which users or participants are employed to periodically monitor a set of points of interest (POIs) each with a weight indicating the value of its information to be collected ...
Peihuang Huang +5 more
doaj +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
Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies
ISPRS International Journal of Geo-Information, 2016 With the growing development of smart cities, public transit forecasting has begun to attract significant attention. In this paper, we propose an approach for forecasting passenger boarding choices and public transit passenger flow.
Ningyu Zhang +3 more
doaj +1 more source
Applied Sciences, 2020 Living in an underdeveloped region implies a higher cost of living: access to services, such as school, work, medical care, and groceries, becomes more costly than those who live in regions with better infrastructure.
A. G. Ramos +2 more
doaj +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
Differentially Private Mobile Crowd Sensing Considering Sensing Errors
Sensors, 2020 An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method,
Yuichi Sei, Akihiko Ohsuga
doaj +1 more source
Jump-start crowdsensing: A three-layer incentive framework for mobile crowdsensing
, 2017 In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities.
Chen, Yatong +9 more
core +1 more source