Results 231 to 240 of about 22,245,183 (290)
Avalanches of choice: How stranger-to-stranger interactions shape crowd dynamics. [PDF]
Proc Natl Acad Sci U S AWang Z, Gabbana A, Toschi F.
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Ionic Liquid-Electrode Interface at Saturation: To Crowd, or Not to Crowd? [PDF]
J Phys Chem LettNguyen BL +5 more
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A test of time: Modeling the long-term success of crowd collaborations. [PDF]
PNAS NexusIsraeli A, Jurgens D, Romero DM.
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Robust crowd anomaly detection via hybrid ensemble learning for real-world surveillance. [PDF]
Sci RepMabrouk D, Abdel-Fattah MA, Taha A.
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Who Is in the Crowd? Deep Face Analysis for Crowd Understanding
2021Crowd understanding plays a vital role in management processes and continues to receive a growing interest in various public and commercial service sectors. Surveillance, entertainment, marketing, and social sciences are only a few of the fields that can benefit from the development of automatic systems for crowd understanding.
Bianco, Simone +2 more
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Machine Vision and Applications, 2008
In the year 1999 the world population reached 6 billion, doubling the previous census estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for world population showing a projected growth to 9.4 billion by 2050 (US Census Bureau, http://www.census.gov/ipc/www/worldpop.html).
Beibei Zhan +4 more
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In the year 1999 the world population reached 6 billion, doubling the previous census estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for world population showing a projected growth to 9.4 billion by 2050 (US Census Bureau, http://www.census.gov/ipc/www/worldpop.html).
Beibei Zhan +4 more
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ACM Transactions on Graphics, 2018
Over the last two decades there has been a proliferation of methods for simulating crowds of humans. As the number of different methods and their complexity increases, it becomes increasingly unrealistic to expect researchers and users to keep up with all the possible options and trade-offs.
Ioannis Karamouzas +3 more
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Over the last two decades there has been a proliferation of methods for simulating crowds of humans. As the number of different methods and their complexity increases, it becomes increasingly unrealistic to expect researchers and users to keep up with all the possible options and trade-offs.
Ioannis Karamouzas +3 more
openaire +2 more sources
An analysis of forwarding mechanism in crowds
IEEE International Conference on Communications, 2003. ICC '03., 2004The mechanism of forwarding request plays the most important role in crowds anonymous communication protocol. On one hand, it hides the identity of the request initiator against the responder; the participants in protocol, and eavesdroppers. On the other hand, it causes additional latency on communication and payload on participants in the protocol. In
Hongfei Sui +3 more
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