Results 11 to 20 of about 42,493 (254)
Indoor Localization System Based on RSSI-APIT Algorithm
Sensors, 2023 An indoor localization system based on the RSSI-APIT algorithm is designed in this study. Integrated RSSI (received signal strength indication) and non-ranging APIT (approximate perfect point-in-triangulation test) localization methods are fused with machine learning in order to improve the accuracy of the indoor localization system. The system focuses
Xiaoyan Shen, Boyang Xu, Hongming Shen
openaire +4 more sources
Journal of Electrical Systems and Information TechnologyWith the rapid advancement of the Internet of Things and the popularization of mobile Internet-based applications, the location-based service (LBS) has attracted much attention from commercial developers and researchers.
M. W. P. Maduranga +2 more
doaj +2 more sources
OCTA-Derived Retinal Biomarkers and Infarct Topography Improve Etiologic Classification of Recent Single Subcortical Infarction: A Nomogram Model. [PDF]
CNS Neurosci TherA nomogram integrating reduced superficial vascular complex density on OCTA with proximal and multi‐slice infarct topography improves differentiation of branch atheromatous disease (BAD) from CSVD‐related lacunar infarction (CSVD‐related LI) in recent single subcortical infarction (RSSI).
Jiang S +7 more
europepmc +2 more sources
RSSI and Machine Learning-Based Indoor Localization Systems for Smart Cities
Engineer, 2023 The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has significantly increased the demand for Location-Based Services (LBS) in today’s world.
R. Rathnayake +3 more
semanticscholar +1 more source
Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview
IEEE Access, 2021 In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is expected to increase, thereby making their location information more important. Based on various practical issues related to large delays, high design cost,
Navneet Singh, S. Choe, Rajiv Punmiya
semanticscholar +1 more source
An Experimental Comparison of RSSI-Based Indoor Localization Techniques Using ZigBee Technology
IEEE Access, 2023 Wireless indoor localization is a significant challenge because of the noise generated by building structures, electromagnetic fields, and distances between connected nodes inside a building.
Hassoon Fahama +3 more
semanticscholar +1 more source
Italian National Conference on Sensors, 2023 This paper aims at proposing an augmented sensing method for estimating volumetric water content (VWC) in soil for Internet of Underground Things (IoUT) applications.
Matteo Bertocco +3 more
semanticscholar +1 more source
On the RSSI-Based Indoor Localization Employing LoRa in the 2.4 GHz ISM Band [PDF]
Radioengineering, 2022 Demand for systems and technologies ensuring indoor localization or tracking of an object with high and stable accuracy is continuously increasing. Nowadays, there are exist several wireless technologies, for instance Bluetooth or Wi-Fi, which can be ...
M. Simka, L. Polak
doaj
MyLib: Smart Library Indoor Navigation Using Bluetooth Low Energy with Triangulation Method [PDF]
International Journal of Electronics and Telecommunications, 2022 This paper proposes an android-based application to help the users to navigate in finding books in the library easily and interactively. This navigation application is connected to a Bluetooth Low Energy (BLE) device that will emit an RSSI signal ...
Tri Nopiani Damayanti +2 more
doaj +1 more source
Italian National Conference on Sensors, 2023 Received signal strength indicator (RSSI)-based fingerprinting is a widely used technique for indoor localization, but these methods suffer from high error rates due to various reflections, interferences, and noises.
Péter Sarcevic, Dominik Csík, Á. Odry
semanticscholar +1 more source