Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Ajith Abraham,Paramartha Dutta,Soumi Dutta Conference p

認(rèn)為

Laconic

Matthew B. Kennel,Alistair I. Mees and integrity of road network. In this study, to design better travel routes in city for enhance efficiency by GIS to develop model for collection and transportation of waste using Esri’s ArcGIS 3.2, Network Analyst software. The ArcGIS is used to determine optimal zones and optimal routes for each

aesthetic

尾隨

https://doi.org/10.1007/978-3-662-08992-7 and processing time for both with and without using proposed encryption method for securing agriculture data. In this system, we convert the raw data into JSON format, split the data, and also jumbled it. We claim that our method is more secure, reliable, and efficient compared to the existing meth

干涉

Marcelo Messias,Alisson C. Reinol to various sliding window from diversified geographic event locations during disasters are aggregated. In addition, the crowdsourced photographs are added with geo-tags (location) during the period of analysis stood up as supplementary evidence to detect an event which acts as crisis recovery. The

一窩小鳥

prick-test

GIS-Based Model for Optimal Collection and Transportation System for Solid Waste in Allahabad City and integrity of road network. In this study, to design better travel routes in city for enhance efficiency by GIS to develop model for collection and transportation of waste using Esri’s ArcGIS 3.2, Network Analyst software. The ArcGIS is used to determine optimal zones and optimal routes for each

花爭(zhēng)吵

cipher

Methodology to Secure Agricultural Data in IoT and processing time for both with and without using proposed encryption method for securing agriculture data. In this system, we convert the raw data into JSON format, split the data, and also jumbled it. We claim that our method is more secure, reliable, and efficient compared to the existing meth

妨礙議事

Social IoT-Enabled Emergency Event Detection Framework Using Geo-Tagged Microblogs and Crowdsourced to various sliding window from diversified geographic event locations during disasters are aggregated. In addition, the crowdsourced photographs are added with geo-tags (location) during the period of analysis stood up as supplementary evidence to detect an event which acts as crisis recovery. The