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GEO-FOR

SAINT-LUDGER-DE-MILOT-Canada

Company Name:
Corporate Name:
GEO-FOR
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 230 Rang 5,SAINT-LUDGER-DE-MILOT,QC,Canada 
ZIP Code:
Postal Code:
G0W2B0 
Telephone Number: 4183733000 
Fax Number:  
Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
085102 
USA SIC Description:
Foresters-Consulting 
Number of Employees:
1 to 4 
Sales Amount:
$500,000 to $1 million 
Credit History:
Credit Report:
Institution 
Contact Person:
 
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Company News:
  • Forensic Science Research | GeoFOR
    The geoFOR application provides forensic practitioners with a free tool to estimate the postmortem interval (PMI), or time since death The app uses ArcGIS and machine learning to deliver data-driven PMI estimations via email shortly after case submission
  • About - geoFOR
    GeoFOR equips forensic practitioners with a readily available tool to enter case information that automates the collection of environmental data and delivers a PMI prediction using statistically robust methods
  • How to Guide | geoFOR
    Step 6 Select how you would like to estimate the PMI You will receive an emailed PMI prediction using geoFOR's machine learning model
  • Acerca de - geoFOR
    GeoFOR equipa practicantes forenses con una simple herramienta disponible para ingresar información de casos, automatizar la recolección de datos ambientales y entregar una predicción IPM usando métodos estadísticamente robustos
  • Meet the Team - geoFOR
    The geoFOR Team Chair and Professor in the Department of Sociology, Anthropology and Criminal Justice, Clemson University Katy Weisensee Postdoctoral Research Fellow in the Department of Sociology, Anthropology and Criminal Justice, Clemson University
  • Forensic Science Research | GeoFOR
    geoFOR describes forensic science research in postmortem interval or time since death
  • Submit a Case - geoFOR
    Click the link below to access the geoFOR PMI estimation tool for registered users
  • Modelo de aprendizaje automático - geoFOR
    GeoFOR actualmente contiene más de 3 200 casos Dado a que la recolección de datos está en curso, el modelo es actualizado con frecuencia a la vez que nuevos datos son ingresados El tamaño y naturaleza integral de la información geFOR permite a los modelos de aprendizaje automáticos estimar el IPM
  • Pruebe una demostración - geoFOR
    Contáctenos 132 Brackett Hall, Clemson University, Clemson, SC 29634 geofor@clemson edu
  • Try a Demo - geoFOR
    Interested in trying a demo before registering for geoFOR? See how case submission and PMI estimation work by clicking the button below




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