Results 31 to 40 of about 310,892 (291)
Investigating the Cultural Impact on Predicting Crowd Behavior
Computers, 2023 The Cultural Crowd–Artificial Neural Network (CC-ANN) takes the cultural dimensions of a crowd into account, based on Hofstede Cultural Dimensions (HCDs), to predict social and physical behavior concerning cohesion, collectivity, speed, and distance ...
Fatima Jafar Muhdher +2 more
doaj +1 more source
Dynamic model of macro crowd merging based on abnormal pedestrian posture [PDF]
MATEC Web of Conferences, 2022 Crowd merging is a complex process, and any sudden external or internal disturbance will destroy the stability of the crowd. The occurrence of abnormal behavior will affect the crowd flow process and inevitably affect the stability of the crowd flow ...
Zhao Rongyong +5 more
doaj +1 more source
Crowds and Collective Behavior [PDF]
, 2020 The challenge for a psychology of crowds and collective behavior is to explain how large numbers of people are, spontaneously, able to act together in patterned and socially meaningful ways and, at the same time, how crowd events can bring about social and psychological change.
Drury, John, Reicher, Stephen
openaire +1 more source
Simulation of Cognitive Pedestrian Agents Crowds in Crisis Situations [PDF]
Journal of Systemics, Cybernetics and Informatics, 2006 In crisis situations in an urban environment, first responder teams often must deal with crowds of people. Consider the case of a building fire in a dense city environment. People may be injured; walkways may be blocked, with fire equipment attempting to
Margaret Lyell, Mark Becker
doaj
An Approach to Detect Crowd Panic Behavior using Flow-based Feature [PDF]
, 2016 With the purpose of achieving automated detection of crowd abnormal behavior in public, this paper discusses the category of typical crowd and individual behaviors and their patterns.
Fan, Jiulun +4 more
core +1 more source
Modeling gap seeking behaviors for agent-based crowd simulation [PDF]
, 2016 Research on agent-based crowd simulation has gained tremendous momentum in recent years due to the increase of computing power. One key issue in this research area is to develop various behavioral models to capture the microscopic behaviors of ...
Chai, Cheng +3 more
core +1 more source
IEEE AccessCrowd analysis is a critical research field in computer vision that focuses on understanding and predicting crowd behaviors with applications extending to public safety, urban planning, and event management. However, the scarcity of large-scale, diverse,
Stefanos Pasios +5 more
doaj +1 more source
Path-Dependent Behavior with Asymmetric Information about Traders' Types [PDF]
, 2012 We define path-dependency as the generic phenomenon according to which agents take an action regardless of their private information. Path-dependency can be of two types contingent on whether agents act with the crowd (herding) or against the crowd ...
Testa, Alessia
core +2 more sources
A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision
Applied SciencesAbnormal crowd behavior recognition is one of the research hotspots in computer vision. Its goal is to use computer vision technology and abnormal behavior detection models to accurately perceive, predict, and intervene in potential abnormal behaviors of
Rongyong Zhao +6 more
doaj +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source