{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T06:54:22Z","timestamp":1769151262696,"version":"3.49.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tencon.2018.8650230","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T21:10:38Z","timestamp":1552943438000},"page":"0056-0061","source":"Crossref","is-referenced-by-count":9,"title":["Performance Comparison of Indoor Fingerprinting Techniques Based on Artificial Neural Network"],"prefix":"10.1109","author":[{"given":"Bedionita","family":"Soro","sequence":"first","affiliation":[]},{"given":"Chaewoo","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Experimental Decomposition of the Performance of Fingerprinting-based Localization Algorithms","author":"filip","year":"2014","journal-title":"International Conference on Indoor Positioning and Indoor Navigation"},{"key":"ref11","article-title":"Experimental Performance Comparison of Indoor Positioning Algorithms based on Received Signal Strength","volume":"i","author":"helder silva","year":"2014","journal-title":"Proceedings of the World Congress on Engineering 2014"},{"key":"ref12","year":"0","journal-title":"TensorFlow™"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC.2017.8190984"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2014.7275492"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.02.055"},{"key":"ref3","article-title":"K-NN based positioning performance estimation for fingerprinting localization","author":"kim","year":"2016","journal-title":"IEEE Eighth International Conference on Ubiquitous and Future Networks (ICUFN)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/FOAN.2017.8215259"},{"key":"ref5","article-title":"Low-effort place recognition with WiFi fingerprints using deep learning","author":"nowicki","year":"0"},{"key":"ref8","article-title":"Performance Comparison of Indoor Positioning Techniques based on Location Fingerprinting in Wireless Networks","author":"lin","year":"2005","journal-title":"International Conference on Wireless Networks Communications and Mobile Computing"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s41044-018-0031-2"},{"key":"ref2","first-page":"33713408","article-title":"Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion","volume":"11","author":"lajoie y bengio p vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.121912.00075"},{"key":"ref9","article-title":"Experimental Evaluation of RF-based Indoor Localization Algorithms Under RF Interference","author":"filip","year":"2015","journal-title":"International Conference on Location and GNSS (ICL-GNSS)"}],"event":{"name":"TENCON 2018 - 2018 IEEE Region 10 Conference","location":"Jeju, Korea (South)","start":{"date-parts":[[2018,10,28]]},"end":{"date-parts":[[2018,10,31]]}},"container-title":["TENCON 2018 - 2018 IEEE Region 10 Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8643125\/8650051\/08650230.pdf?arnumber=8650230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:25:31Z","timestamp":1598228731000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8650230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/tencon.2018.8650230","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}