认为
发表于 2025-3-30 11:53:06
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Laconic
发表于 2025-3-30 15:37:47
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
发表于 2025-3-30 18:37:08
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尾随
发表于 2025-3-31 00:09:56
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
发表于 2025-3-31 04:43:22
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
一窝小鸟
发表于 2025-3-31 06:49:35
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prick-test
发表于 2025-3-31 10:23:48
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
花争吵
发表于 2025-3-31 15:01:18
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cipher
发表于 2025-3-31 20:50:06
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
妨碍议事
发表于 2025-3-31 22:06:48
Social IoT-Enabled Emergency Event Detection Framework Using Geo-Tagged Microblogs and Crowdsourcedto 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