POL crowd control
| Zeile 10: | Zeile 10: | ||
{{tp|p=33200063|t=2020. Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection.|pdf=|usr=021}} | {{tp|p=33200063|t=2020. Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection.|pdf=|usr=021}} | ||
{{tp|p=C7239102|t=?. Mass Surveillance in the Age of COVID-19.|pdf=|usr=015}} | {{tp|p=C7239102|t=?. Mass Surveillance in the Age of COVID-19.|pdf=|usr=015}} | ||
| + | {{tp|p=C7282729|t=?. Policing a Pandemic: Stay-at-Home Orders and What they Mean for the Police.|pdf=|usr=015}} | ||
Version vom 2. Januar 2021, 09:53 Uhr
| Politics main page |
32839687 2020. Policing in pandemics: A systematic review and best practices for police response to COVID-19.
32937867 2020. Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19.
33026253 2020. COVID-19, Public Authority and Enforcement.
33058699 2020. Effectiveness of Penalties for Lockdown Violations During the COVID-19 Pandemic in Germany.
33111236 2020. Responding to Patients Who Refuse to Wear Masks During the Covid-19 Pandemic.
33112757 2020. Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study.
33119629 2020. Monitoring physical distancing for crowd management: Real-time trajectory and group analysis.
33158231 2020. The Social Distance Scale (v1): A Screening Instrument to Assess Patient Adherence to Prevention Strategies during Pandemics.
33200063 2020. Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection.
C7239102 ?. Mass Surveillance in the Age of COVID-19.
C7282729 ?. Policing a Pandemic: Stay-at-Home Orders and What they Mean for the Police.
