{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T15:55:55Z","timestamp":1781366155233,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T00:00:00Z","timestamp":1773187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,3,11]]},"DOI":"10.1145\/3803291.3803323","type":"proceedings-article","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T15:29:06Z","timestamp":1781364546000},"page":"545-551","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An RSSI Indoor 3D Localization Technique Using Adaptive Low-rank Approximation-aided Two-stage CNN"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8766-3962","authenticated-orcid":false,"given":"Reiya","family":"Muraguchi","sequence":"first","affiliation":[{"name":"Chitose Institute of Science and Technology, Chitose, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0266-8368","authenticated-orcid":false,"given":"Yasuhiro","family":"Takano","sequence":"additional","affiliation":[{"name":"Chitose Institute of Science and Technology, Chitose, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4902-1393","authenticated-orcid":false,"given":"Hsuan-Jung","family":"Su","sequence":"additional","affiliation":[{"name":"National Taiwan University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8970-9408","authenticated-orcid":false,"given":"Yoshiaki","family":"Shiraishi","sequence":"additional","affiliation":[{"name":"Kobe University, Kobe, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9094-6398","authenticated-orcid":false,"given":"Shigeki","family":"Hagihara","sequence":"additional","affiliation":[{"name":"Chitose Institute of Science and Technology, Chitose, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,13]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Noori Bnilam Dennis Joosens Rafael Berkvens Jan Steckel and Maarten Weyn. 2021. AoA-Based Localization System Using a Single IoT Gateway: An Application for Smart Pedestrian Crossing. IEEE Access 9 (2021) 13532\u201313541. 10.1109\/ACCESS.2021.3051389","DOI":"10.1109\/ACCESS.2021.3051389"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Heyan Chai Zhe Yin Ye Ding Li Liu Binxing Fang and Qing Liao. 2023. A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. IEEE Transactions on Cybernetics 53 12 (2023) 7810\u20137823. 10.1109\/TCYB.2022.3223377","DOI":"10.1109\/TCYB.2022.3223377"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/SISY56759.2022.10036270"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Haihan Li Xiangsheng Zeng Yunzhou Li Shidong Zhou and Jing Wang. 2019. Convolutional neural networks based indoor Wi-Fi localization with a novel kind of CSI images. China Communications 16 9 (2019) 250\u2013260. 10.23919\/JCC.2019.09.019","DOI":"10.23919\/JCC.2019.09.019"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Shehu Lukman\u00a0Ayinla Azrina\u00a0Abd Aziz Micheal Drieberg Misfa Susanto Afidalina Tumian and Mazlaini Yahya. 2025. An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization. IEEE Open Journal of the Communications Society 6 (2025) 560\u2013575. 10.1109\/OJCOMS.2024.3520005","DOI":"10.1109\/OJCOMS.2024.3520005"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Feng Lyu Liang Fang Guangtao Xue Hua Xue and Minglu Li. 2019. Large-Scale Full WiFi Coverage: Deployment and Management Strategy Based on User Spatio-Temporal Association Analytics. IEEE Internet of Things Journal 6 6 (2019) 9386\u20139398. 10.1109\/JIOT.2019.2933266","DOI":"10.1109\/JIOT.2019.2933266"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Zoren Mabunga Jennifer Dela\u00a0Cruz Angelica Samortin and Renato Maaliw\u00a0III. 2021. Utilization of Different Wireless Technologies\u2019 RSSI for Indoor Environment Classification Using Support Vector Machine. 233\u2013237. 10.1109\/ICSGRC53186.2021.9515242","DOI":"10.1109\/ICSGRC53186.2021.9515242"},{"key":"e_1_3_3_1_9_2","unstructured":"MathWorks. [n. d.]. RayTracing Channel System Object. https:\/\/www.mathworks.com\/help\/comm\/ref\/comm.raytracingchannel-system-object.html. Accessed: 2025-12-17."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/JAC-ECC48896.2019.9051304"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3638837.3638849"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC61545.2025.10978667"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Sebastian Sadowski and Petros Spachos. 2018. RSSI-Based Indoor Localization With the Internet of Things. IEEE Access 6 (2018) 30149\u201330161. 10.1109\/ACCESS.2018.2843325","DOI":"10.1109\/ACCESS.2018.2843325"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Navneet Singh Sangho Choe Rajiv Punmiya and Navneesh Kaur. 2022. XGBLoc: XGBoost-Based Indoor Localization in Multi-Building Multi-Floor Environments. Sensors 22 17 (2022). 10.3390\/s22176629","DOI":"10.3390\/s22176629"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2014.7275492"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"M. Wax and T. Kailath. 1985. Detection of signals by information theoretic criteria. IEEE Transactions on Acoustics Speech and Signal Processing 33 2 (1985) 387\u2013392. 10.1109\/TASSP.1985.1164557","DOI":"10.1109\/TASSP.1985.1164557"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"Jun Yan Guowen Qi Bin Kang Xiaohuan Wu and Huaping Liu. 2021. Extreme Learning Machine for Accurate Indoor Localization Using RSSI Fingerprints in Multifloor Environments. IEEE Internet of Things Journal 8 19 (2021) 14623\u201314637. 10.1109\/JIOT.2021.3071152","DOI":"10.1109\/JIOT.2021.3071152"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/UPINLBS.2018.8559903"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2017.7925445"}],"event":{"name":"ICICT 2026: 2026 The 9th International Conference on Information and Computer Technologies","location":"Honolulu , HI , USA","acronym":"ICICT 2026"},"container-title":["Proceedings of the 2026 9th International Conference on Information and Computer Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3803291.3803323","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T15:33:38Z","timestamp":1781364818000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3803291.3803323"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,11]]},"references-count":18,"alternative-id":["10.1145\/3803291.3803323","10.1145\/3803291"],"URL":"https:\/\/doi.org\/10.1145\/3803291.3803323","relation":{},"subject":[],"published":{"date-parts":[[2026,3,11]]},"assertion":[{"value":"2026-06-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}