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Indoor space classification using cascaded LSTM
Indoor space classification is an important part of localization that helps in precise location
extraction, which has been extensively utilized in industrial and domestic domain. There are …
extraction, which has been extensively utilized in industrial and domestic domain. There are …
[PDF][PDF] Indoor Position and Movement Direction Estimation System Using DNN on BLE Beacon RSSI Fingerprints
K Echizenya, K Kondo - Adv. Sci. Tech. Eng. Sys. J, 2022 - academia.edu
In this paper, we propose a highly accurate indoor position and direction estimation system
using a simple fully connected deep neural network (DNN) model on Bluetooth Low Energy …
using a simple fully connected deep neural network (DNN) model on Bluetooth Low Energy …
BLE 기반 실내위치 측위 개선 위한 AI 적용과 성능 평가
이찬형, 고기찬, 김정곤 - 한국통신학회 학술대회논문집, 2022 - dbpia.co.kr
본 논문에서는 점차 대형화되고 복잡해지는 실내공간의 변화 추이에 따라 증가하는 미아
발생에 대한 우려와 사회적 관심에 발맞추어, 실내 위치 측위 시스템을 설계하고 구현하기 위해 …
발생에 대한 우려와 사회적 관심에 발맞추어, 실내 위치 측위 시스템을 설계하고 구현하기 위해 …
Gradual Shrinkage of Feature Space using ANOVA for WiFi-based Indoor Localization
S Maitra, RH Munia, A Rab… - 2020 23rd International …, 2020 - ieeexplore.ieee.org
It is high time researchers realized the potential of statistical inference in setting expectations
from features in prioritizing them. In this age of fanatic developments in artificial intelligence …
from features in prioritizing them. In this age of fanatic developments in artificial intelligence …