Abstract
This system essentially implements the information from RS and GIS associated with malaria epidemic modeling, and increases precision of malaria epidemic modeling by the information representing physical and logical fusion objects subject to malaria epidemic monitoring. This work focuses on the system architecture model and related design issues, including area and type estimation of malaria epidemic, whereas we use the model as a tool of data fusion to avoid the parameter estimation problems in complex environments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
