{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T16:12:00Z","timestamp":1784995920513,"version":"3.55.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"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":[[2024,10,27]]},"DOI":"10.1109\/ieeeconf60004.2024.10942780","type":"proceedings-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T18:20:20Z","timestamp":1743790820000},"page":"1183-1187","source":"Crossref","is-referenced-by-count":2,"title":["A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction Using Deep Gaussian Process"],"prefix":"10.1109","author":[{"given":"Xiang","family":"Zhang","sequence":"first","affiliation":[{"name":"Technical University of Berlin"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyu","family":"Hu","sequence":"additional","affiliation":[{"name":"University of Florida,Department of Electrical &#x0026; Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Imtiaz","family":"Nasim","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shannon","family":"Eggers","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vivek","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amitabh","family":"Mishra","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua","family":"Daw","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arupjyoti","family":"Bhuyan","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sneha Kumar","family":"Kasera","sequence":"additional","affiliation":[{"name":"Kahlert School of Computing, University of Utah"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyue","family":"Ji","sequence":"additional","affiliation":[{"name":"University of Florida,Department of Electrical &#x0026; Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCTCT.2018.8550931"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISWCS.2004.1407279"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.905750"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.02.055"},{"issue":"1","key":"ref5","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from over-fitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"The journal of machine learning research"},{"issue":"3","key":"ref6","volume-title":"Gaussian processes for machine learning","volume":"2","author":"Williams","year":"2006"},{"key":"ref7","article-title":"Gpps: A gaussian process positioning system for cellular networks","volume":"16","author":"Schwaighofer","year":"2003","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","first-page":"207","article-title":"Deep gaussian processes","author":"Damianou","year":"2013","journal-title":"Artificial intelligence and statistics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2996564"},{"key":"ref10","first-page":"567","article-title":"Variational learning of inducing variables in sparse gaussian processes","author":"Titsias","year":"2009","journal-title":"Artificial intelligence and statistics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3411276.3412204"},{"key":"ref12","volume-title":"Principal component analysis for special types of data","author":"Jolliffe","year":"2002"}],"event":{"name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","location":"Pacific Grove, CA, USA","start":{"date-parts":[[2024,10,27]]},"end":{"date-parts":[[2024,10,30]]}},"container-title":["2024 58th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10942562\/10942606\/10942780.pdf?arnumber=10942780","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T11:10:16Z","timestamp":1743851416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10942780\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf60004.2024.10942780","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]}}}