{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T15:51:09Z","timestamp":1730303469370,"version":"3.28.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/vtc2022-fall57202.2022.10012991","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T18:52:20Z","timestamp":1674067940000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Enabling Accurate Positioning in NLOS Scenarios by Hybrid Machine Learning with Denoising and Inpainting"],"prefix":"10.1109","author":[{"given":"Longhai","family":"Zhao","sequence":"first","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Qi","family":"Xiong","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Yunchuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Pengru","family":"Li","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Bin","family":"Yu","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Feifei","family":"Sun","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Chengjun","family":"Sun","sequence":"additional","affiliation":[{"name":"Samsung Research Institute China – Beijing (SRC-B),Advanced Research & Standard Team,Beijing,P. R. China"}]},{"given":"Peng","family":"Xue","sequence":"additional","affiliation":[{"name":"Samsung Electronics,R & D Team, Networks Business Division,Suwon,South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348191"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9129126"},{"first-page":"#94e","article-title":"New SI: Study on Artificial Intelligence (AI) Machine Learning (ML) for NR Air Interface","year":"2021","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. of Conference on Neural Information Process Systems (NeurIPS)","author":"Ho","key":"ref5"},{"article-title":"Improved denoising diffusion probabilistic models","volume-title":"International Conference on Machine Learning (ICML)","author":"Nichol","key":"ref6"},{"article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"International Conference on Learning Representations (ICLR)","author":"Song","key":"ref7"},{"key":"ref8","first-page":"1","article-title":"Cascaded diffusion models for high fidelity image generation","volume":"23","author":"Ho","year":"2022","journal-title":"Journal of Machine Learning Research"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2967726"},{"key":"ref10","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"International Conference on Machine Learning","author":"Dickstein"},{"year":"2019","key":"ref11","article-title":"Study on channel model for frequencies from 0.5 to 100GHz (Rel-16)"},{"year":"2021","key":"ref12","article-title":"Physical channels and modulation"}],"event":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","start":{"date-parts":[[2022,9,26]]},"location":"London, United Kingdom","end":{"date-parts":[[2022,9,29]]}},"container-title":["2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10012685\/10012692\/10012991.pdf?arnumber=10012991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T08:49:16Z","timestamp":1707468556000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10012991\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/vtc2022-fall57202.2022.10012991","relation":{},"subject":[],"published":{"date-parts":[[2022,9]]}}}