Results 41 to 50 of about 318,999 (276)
Crowd Counting with Decomposed Uncertainty
, 2020 Research in neural networks in the field of computer vision has achieved remarkable accuracy for point estimation. However, the uncertainty in the estimation is rarely addressed.
Oh, Min-hwan +2 more
core +1 more source
Analysis of supply chain’s resilience in crowd networks [PDF]
International Journal of Crowd Science, 2021 Purpose The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives. Design/methodology/approach This paper first defines the supply chain’s resilience, then proposes a graphical and game-theoretic framework to evaluate the resilience.
Shihan Meng +3 more
openaire +2 more sources
A novel simulation framework for crowd transportations
International Journal of Crowd Science, 2021 PurposeWith the development of the modern economy, vehicles are no longer a luxury for people, which greatly facilitate people's daily life, but at the same time bring traffic congestion.
Zhihui Li, Hongbo Sun
doaj +1 more source
MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation
Journal of Imaging, 2020 Knowing an accurate passengers attendance estimation on each metro car contributes to the safely coordination and sorting the crowd-passenger in each metro station.
Pier Luigi Mazzeo +6 more
doaj +1 more source
A Blockchain-Based Trusted Upload Scheme for the Internet of Things Nodes
International Journal of Crowd Science, 2022 In recent years, the theory and method of swarm intelligence based on the Internet have become the core research field of the new generation of Internet of Things (IoT). Both play a basic and supporting role in other research fields of IoT.
Yulei Jiao, Cexun Wang
doaj +1 more source
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
, 2015 Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to collectively sense and perform computing tasks in an unprecedented scale ...
Belkin, Mikhail +4 more
core +1 more source
Traffic Offloading/Onloading in Multi-RAT Cellular Networks [PDF]
, 2013 We analyze next generation cellular networks, offering connectivity to mobile users through multiple radio access technologies (RATs), namely LTE and WiFi.
Chiasserini, Carla Fabiana +2 more
core +1 more source
Analysis of Crowd Congestion Degree in Narrow Space Based on Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 The analysis of crowd congestion degree is very important to maintain public safety.Generally,in a narrow space the perspective is limited,and the human-human occlusion and human-item occlusion are serious.In addition,because of the different scales of ...
ZHANG Jing, CHEN Qingkui
doaj +1 more source
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
, 2018 In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate crowds accurately in low density scenes, while its reliability in congested areas is downgraded ...
Gao, Chenqiang +3 more
core +1 more source
Learning and coordinating in a multilayer network [PDF]
, 2014 We introduce a two layer network model for social coordination incorporating two relevant ingredients: a) different networks of interaction to learn and to obtain a payoff , and b) decision making processes based both on social and strategic motivations.
Lugo, Haydee, Miguel, Maxi San
core +5 more sources