Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Bluetooth signal strength based indoor localization method
Experiments on local positioning with Bluetooth
Accurate GSM Indoor Localization
A reliable and accurate indoor localization method using phone inertial sensors
WiFi signal strength-based robot indoor localization
Robust method for outdoor localization of a mobile robot using received signal strength in low power wireless networks
Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization
A RSSI-based algorithm for indoor localization using ZigBee in wireless sensor network
An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study
Feature Extraction and Learning for RSSI based Indoor Device Localization
Achieving Centimeter-Accuracy Indoor Localization on WiFi Platforms: A Multi-Antenna Approach
Smartphones Based Crowdsourcing for Indoor Localization
RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers
Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing
Sensor network localization via received signal strength measurements with directional antennas
An Improved Location Estimation Method for Wifi Fingerprint- based Indoor Localization
Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks
UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems
A survey on indoor positioning systems
A Comparative Analysis on indoor positioning Techniques and Systems
Improved Wi-Fi RSSI Measurement for Indoor Localization
leiomyoma originating from axilla .
Everything Hertz: methodological issues in short-term frequency-domain HRV
Factors Associated With Desistence and Persistence of Childhood Gender Dysphoria: A Quantitative Follow-Up Study
Using neural networks in reliability prediction
A case study in applying security design patterns for IoT software system