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  1. 1841
    por Zhang, Hui
    Publicado 2018
    “…Experimental results show that the proposed method could predict highlighted terms selected by crowd workers with moderate performance.…”
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    Online Artículo Texto
    Beyond Query-Oriented Highlighting: Investigating the Effect of Snippet Text Highlighting in Search User Behavior
  2. 1842
    “…Additionally, in this level, the crowd sensing paradigm is exploited to aggregate environmental information collected by end user devices present in the area of interest. …”
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    Where There Is Fire There Is SMOKE: A Scalable Edge Computing Framework for Early Fire Detection
  3. 1843
    por Griffin, Lewis D., Mylonas, Dimitris
    Publicado 2019
    “…Data on the colour categories of English speakers was collected using online crowd sourcing – 1,000 subjects produced 20,000 unconstrained names for 600 colour stimuli. …”
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    Categorical colour geometry
  4. 1844
    “…This new sensor application, better known as Mobile crowd-sensing (MCS), has lately become a focus of research. …”
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    Online Artículo Texto
    Design of a Local Information Incentive Mechanism for Mobile Crowdsensing
  5. 1845
    “…Unlike existing approaches that use crowd data for cloud-assisted POI extraction, the proposed solution autonomously detects POIs and mobility events to incrementally construct a cognitive map (spatio-temporal model) of individual mobility suitable to constrained mobile platforms. …”
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    A Spatio-Temporal Approach to Individual Mobility Modeling in On-Device Cognitive Computing Platforms
  6. 1846
    “…Recommendations are offered to meet major challenges, including making data publicly available in near real time, increasing the validity and reliability of event data, expanding the scope of crowd surveys, and integrating ongoing projects in a meaningful way by building new research infrastructure.…”
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    The science of contemporary street protest: New efforts in the United States
  7. 1847
    por Yue, Yujuan, Liu, Qiyong
    Publicado 2019
    “…Epidemiological characteristics of domestic imported dengue fever in mainland China, 2014–2018, including time-series, spatial mobility and crowd features, were analyzed. There existed seasonal characteristics from August to November. …”
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    Exploring Epidemiological Characteristics of Domestic Imported Dengue Fever in Mainland China, 2014–2018
  8. 1848
    “…We found that knowledge about others’ responses reduced the wisdom of the crowd and, crucially, this effect depended on how people were rewarded. …”
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    Self-serving incentives impair collective decisions by increasing conformity
  9. 1849
    “…When an infection process co-evolves with the traveling dynamics, the railway serves to gather a crowd, transmit the disease, and spread infected agents to local area subnetworks. …”
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    Risks of an epidemic in a two-layered railway-local area traveling network
  10. 1850
    “…AIM: This work presents a cloud-based Decision Support System for public health decision-making. METHODS: In CrowdHEALTH, the concept of a Public Health Policy (PHP) is directly connected with one or more Key Performance Indexes (KPIs). …”
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    Evidence-based Public Health Policy Models Development and Evaluation using Big Data Analytics and Web Technologies
  11. 1851
    por Hopkins, Nick, Reicher, Stephen
    Publicado 2016
    “…Drawing on psychological research concerning group processes, we consider the psychological transformations that occur when people become part of a crowd. We then consider how these transformations may have various consequences for health and well-being. …”
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    The psychology of health and well-being in mass gatherings: A review and a research agenda
  12. 1852
    “…In this study, we conducted Shannon’s experiment on a much larger scale to reevaluate the entropy rate h via Amazon’s Mechanical Turk, a crowd-sourcing service. The online subjects recruited through Mechanical Turk were each asked to guess the succeeding character after being given the preceding characters until obtaining the correct answer. …”
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    Entropy Rate Estimation for English via a Large Cognitive Experiment Using Mechanical Turk
  13. 1853
    “…Based on a theoretical framework for technology adoption under subjective uncertainty, we implemented a randomized field experiment among 1,200 smallholders in Uganda to estimate the extent to which subsidizing an improved grain storage bag crowds-out or crowds-in commercial buying of the technology. …”
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    Subsidies for Agricultural Technology Adoption: Evidence from a Randomized Experiment with Improved Grain Storage Bags in Uganda
  14. 1854
    “…Recently, many platforms have outsourced tasks to numerous smartphone devices known as Mobile Crowd-sourcing System (MCS). The data is collected and transferred to the platform for further analysis and processing. …”
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    iTrust—A Trustworthy and Efficient Mapping Scheme in Elliptic Curve Cryptography
  15. 1855
    “…As collections experts, museums are leading the charge to document, collect, and interpret our current circumstances as they unfold in real time, relying more than ever on public participation and crowd-sourcing. A key development in such rapid-response collecting has been the interest in and solicitation of contributions that document the current crisis. …”
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    Beyond Window Rainbows: Collecting Children’s Culture in the COVID Crisis
  16. 1856
    “…Here, we demonstrate a novel personal shopping assistant implemented as a smart phone app that supports a value-sensitive design and leverages sustainability awareness, using experts’ knowledge and ‘wisdom of the crowd’ for transparent product information and explainable product ratings. …”
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    How value-sensitive design can empower sustainable consumption
  17. 1857
    “…To solve the heavy occlusion in crowds, we propose a multi-scale feature pyramid network based on ResNet (MFPN) to enhance the features of occluded targets and improve the detection accuracy. …”
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    Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet
  18. 1858
    por Kim, Won-Suk
    Publicado 2021
    “…Various cloud-based network services such as crowd sensing, hierarchical deep learning systems, and cloud gaming each have their own traffic patterns and computing requirements. …”
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    Progressive Traffic-Oriented Resource Management for Reducing Network Congestion in Edge Computing
  19. 1859
    “…Counting the number of people and estimating their walking speeds are essential in crowd control and flow. In this work, we propose a system that uses prevalent Wi-Fi signals to identify the number of people entering and leaving a room through a door. …”
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    A People-Counting and Speed-Estimation System Using Wi-Fi Signals
  20. 1860
    “…This study proposes a cloud computing-based data collection, processing, and analysis process that employs a crowd-sensing application. Clustering algorithms are used to define the major damage types, and hotspot analysis is applied to effectively filter critical data from crowdsourced data. …”
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    Critical Image Identification via Incident-Type Definition Using Smartphone Data during an Emergency: A Case Study of the 2020 Heavy Rainfall Event in Korea
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