A novel cascaded deep neural network for analyzing smart phone data for indoor localization-Reference-Cited by-同舟云学术

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A novel cascaded deep neural network for analyzing smart phone data for indoor localization

Published:2019-12 Issue: Volume:101 Page:760-769
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Hassan Md Rafiul,Haque Md Sarwar M.,Hossain Muhammad Imtiaz,Hassan Mohammad Mehedi,Alelaiwi Abdulhameed

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference29 articles.

1. Smart home 2.0: Innovative smart home system powered by botanical IoT and emotion detection;Chen;Mob. Netw. Appl.,2017

2. Edge cognitive computing based smart healthcare system;Chen;Future Gener. Comput. Syst.,2018

3. Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings;Lin;IEEE Trans. Autom. Sci. Eng.,2016

4. A pre-processing technique for BLE-based indoor localization;Choosaksakunwiboon,2018

5. Experimental data set analysis of RSSI-based indoor and outdoor localization in LoRa networks;Goldoni;Internet Technol. Lett.,2019

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1. Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier;Future Generation Computer Systems;2023-04

2. Robot Path Recognition and Target Tracking System Based on Computer Vision;Lecture Notes on Data Engineering and Communications Technologies;2023

3. Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI);Sensors;2022-08-29

4. Indoor Positioning System with UWB Based on a Digital Twin;Sensors;2022-08-09

5. A practical approach based on Bluetooth Low Energy and Neural Networks for indoor localization and targeted devices’ identification by smartphones;Entertainment Computing;2022-08

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