arXiv (All)
open access
CleanCity-BinSense: An IoT-Enabled Smart Waste Management System with Configurable Real-Time Fill Monitoring and Nearest-Neighbor Route Optimization
CleanCity-BinSense addresses inefficiencies in urban waste management in developing cities, where fixed-schedule collection routes lead to overflowing bins and wasted fuel. This paper presents CleanCity-BinSense, a low-cost, end-to-end IoT-enabled smart waste management system for scalable real-time
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CleanCity-BinSense: An IoT-Enabled Smart Waste Management System with Configurable Real-Time Fill Monitoring and Nearest-Neighbor Route Optimization#667936
- RESEARCH ASPECTS IN WASTE MANAGEMENT AND THE USE OF INTELLIGENT TECHNOLOGIES#732171
- Artificial intelligence for waste management in smart cities: a review#679435
- A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities#679206
- Accelerating the Deployment of Anaerobic Digestion to Meet Zero Waste Goals#1165867
Record · ID 985873
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive