Results 71 to 80 of about 6,576 (183)
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
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
Distributed Time-Sensitive Task Selection in Mobile Crowdsensing
, 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
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
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
EBRP: An Energy-Efficient and Buffer-Aware Routing Protocol for Mobile Crowdsensing Network
International Journal of Distributed Sensor Networks, 2016 Data collection with high efficiency is a key problem for the completion of crowdsensing tasks in Mobile Crowdsensing Networks. Much work has been done on the opportunistic routing problem, but they usually just focused on the sociality of node, and the ...
Huahong Ma +4 more
doaj +1 more source
Urban Mobility: Mobile Crowdsensing Applications
, 2018 Mobility has become one of the most difficult challenges that cities must face. More than half of world’s population resides in urban areas and with the continuously growing population it is imperative that cities use their resources more efficiently.
Simões, João +3 more
openaire +2 more sources
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
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