Results 231 to 240 of about 105,553 (280)

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

Spontaneous symmetry breaking and panic escape. [PDF]

PLoS One
Sun Kim C, Dib C, Oh S.
europepmc   +1 more source

Multiscale regional calibration network for crowd counting. [PDF]

Sci Rep
Yu J, Hu H.
europepmc   +1 more source

Dynamic Population Distribution and Perceived Impact Area of the Tibet Dingri M_S6.8 Earthquake Based on Mobile Phone Location Data. [PDF]

Sensors (Basel)
Li H, Xia C, Zhang Y, Chen Y, Qi W, Yang F, Wang X.   +6 more
europepmc   +1 more source

Polarised crowd in motion: insights into statistical and dynamical behavior. [PDF]

Sci Rep
Jena P, Mishra S.
europepmc   +1 more source

Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework. [PDF]

Sci Rep
Alqahtani O, Dileep MR, Ghouse M, Vidya Sagar SD, Rallapalli S, Danti A.   +5 more
europepmc   +1 more source

Association between public space and resident outdoor activity behavior in urban areas surrounding lakes. [PDF]

Sci Rep
Liya F, Yuqing L, Zhouni H, Wenhui Z, Tao Z.   +4 more
europepmc   +1 more source

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Real‐time density‐based crowd simulation

Computer Animation and Virtual Worlds, 2012
ABSTRACTVirtual characters in games and simulations often need to plan visually convincing paths through a crowded environment. This paper describes how crowd density information can be used to guide a large number of characters through a crowded environment.
Roland Geraerts
exaly   +3 more sources

Density-Aware Curriculum Learning for Crowd Counting

IEEE Transactions on Cybernetics, 2022
Recently, crowd counting draws much attention on account of its significant meaning in congestion control, public safety, and ecological surveys. Although the performance is improved dramatically due to the development of deep learning, the scales of these networks also become larger and more complex.
Qi Wang, Wei Lin, Junyu Gao, Xuelong Li
openaire   +2 more sources