AI-BPO
Author:
Affiliation:
1. Tokyo Institute of Technology, Tokyo, Japan
2. The University of Tokyo, Tokyo, Japan
3. Yahoo Japan Corporation Tokyo, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474717.3483964
Reference18 articles.
1. A simulated annealing algorithm to support the sensor placement for target location;Chiu Pe Lin;Proc. on CCECE,2004
2. Smartphone-Based Indoor Positioning Using BLE iBeacon and Reliable Lightweight Fingerprint Map
3. Optimization of the Coverage and Accuracy of an Indoor Positioning System with a Variable Number of Sensors
4. Optimizing Placement and Number of RF Beacons to Achieve Better Indoor Localization
5. Coverage and connectivity issues in wireless sensor networks: A survey
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1. Data-driven Simulation of Wireless Communication Signal Strength in Indoor Environments;2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN);2023-09-25
2. Analyzing the Impact of COVID-19 Control Policies on Campus Occupancy and Mobility via WiFi Sensing;ACM Transactions on Spatial Algorithms and Systems;2022-09-22
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