{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:06:21Z","timestamp":1780099581005,"version":"3.54.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403378","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:04:00Z","timestamp":1597964640000},"page":"3261-3271","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["CrowdQuake"],"prefix":"10.1145","author":[{"given":"Xin","family":"Huang","sequence":"first","affiliation":[{"name":"Florida Institute of Technology, Melbourne, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jangsoo","family":"Lee","sequence":"additional","affiliation":[{"name":"Kyungpook National University, Daegu, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young-Woo","family":"Kwon","sequence":"additional","affiliation":[{"name":"Kyungpook National University, Daegu, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chul-Ho","family":"Lee","sequence":"additional","affiliation":[{"name":"Florida Institute of Technology, Melbourne, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2019. Apache Kafka. https:\/\/kafka.apache.org\/ 2019. Apache Kafka. https:\/\/kafka.apache.org\/"},{"key":"e_1_3_2_1_2_1","unstructured":"2019. ElasticSearch. https:\/\/www.elastic.co\/ 2019. ElasticSearch. https:\/\/www.elastic.co\/"},{"key":"e_1_3_2_1_3_1","unstructured":"2019. Grafana. https:\/\/grafana.com\/ 2019. Grafana. https:\/\/grafana.com\/"},{"key":"e_1_3_2_1_4_1","unstructured":"2019. InfluxDB. https:\/\/kafka.apache.org\/ 2019. InfluxDB. https:\/\/kafka.apache.org\/"},{"key":"e_1_3_2_1_5_1","volume-title":"Pattern Recognition and Machine Learning","author":"Bishop C. M.","unstructured":"C. M. Bishop . 2006. Pattern Recognition and Machine Learning . Springer . C. M. Bishop. 2006. Pattern Recognition and Machine Learning. Springer."},{"key":"e_1_3_2_1_6_1","article-title":"Community seismic network","volume":"54","author":"Clayton R. W.","year":"2011","unstructured":"R. W. Clayton , T. Heaton , M. Chandy , A. Krause , M. Kohler , J. Bunn , R. Guy , M. Olson , M. Faulkner , M. Cheng , L. Strand , R. Chandy , D. Obenshain , A. Liu , and M. Aivazis . 2011 . Community seismic network . Annals of Geophysics , Vol. 54 , 6 (2011). R. W. Clayton, T. Heaton, M. Chandy, A. Krause, M. Kohler, J. Bunn, R. Guy, M. Olson, M. Faulkner, M. Cheng, L. Strand, R. Chandy, D. Obenshain, A. Liu, and M. Aivazis. 2011. Community seismic network. Annals of Geophysics, Vol. 54, 6 (2011).","journal-title":"Annals of Geophysics"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","DOI":"10.1109\/MIM.2009.5338255","article-title":"A novel strong-motion seismic network for community participation in earthquake monitoring","volume":"12","author":"Cochran E.","year":"2009","unstructured":"E. Cochran , J. Lawrence , C. Christensen , and A. Chung . 2009 . A novel strong-motion seismic network for community participation in earthquake monitoring . IEEE Instrumentation & Measurement Magazine , Vol. 12 , 6 (2009). E. Cochran, J. Lawrence, C. Christensen, and A. Chung. 2009. A novel strong-motion seismic network for community participation in earthquake monitoring. IEEE Instrumentation & Measurement Magazine, Vol. 12, 6 (2009).","journal-title":"IEEE Instrumentation & Measurement Magazine"},{"key":"e_1_3_2_1_8_1","first-page":"10","article-title":"Tiny accelerometers create Europe's first urban seismic network","volume":"97","author":"D'Alessandro A.","year":"2016","unstructured":"A. D'Alessandro . 2016 . Tiny accelerometers create Europe's first urban seismic network . Eos , Vol. 97 , 10 .1029 (2016). A. D'Alessandro. 2016. Tiny accelerometers create Europe's first urban seismic network. Eos, Vol. 97, 10.1029 (2016).","journal-title":"Eos"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of ICML. 233--240","author":"Davis J.","unstructured":"J. Davis and M. Goadrich . 2006. The relationship between precision-recall and ROC curves . In Proceedings of ICML. 233--240 . J. Davis and M. Goadrich. 2006. The relationship between precision-recall and ROC curves. In Proceedings of ICML. 233--240."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2622633"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of ACM\/IEEE IPSN. 13--24","author":"Faulkner M.","unstructured":"M. Faulkner , M. Olson , R. Chandy , J. Krause , K. M. Chandy , and A. Krause . 2011. The next big one: Detecting earthquakes and other rare events from community-based sensors . In Proceedings of ACM\/IEEE IPSN. 13--24 . M. Faulkner, M. Olson, R. Chandy, J. Krause, K. M. Chandy, and A. Krause. 2011. The next big one: Detecting earthquakes and other rare events from community-based sensors. In Proceedings of ACM\/IEEE IPSN. 13--24."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"e_1_3_2_1_13_1","unstructured":"I. Goodfellow Y. Bengio and A. Courville. 2016. Deep Learning. MIT press. I. Goodfellow Y. Bengio and A. Courville. 2016. Deep Learning. MIT press."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1029\/2008GL036572"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR).","author":"Kingma D. P.","unstructured":"D. P. Kingma and J. Ba . 2015. Adam: A method for stochastic optimization . In Proceedings of the International Conference on Learning Representations (ICLR). D. P. Kingma and J. Ba. 2015. Adam: A method for stochastic optimization. In Proceedings of the International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_16_1","volume-title":"Science Advances","volume":"2","author":"Kong Q.","year":"2016","unstructured":"Q. Kong , R. M. Allen , L. Schreier , and Y.-W. Kwon . 2016 . MyShake: A smartphone seismic network for earthquake early warning and beyond . Science Advances , Vol. 2 , 2 (2016). Q. Kong, R. M. Allen, L. Schreier, and Y.-W. Kwon. 2016. MyShake: A smartphone seismic network for earthquake early warning and beyond. Science Advances, Vol. 2, 2 (2016)."},{"key":"e_1_3_2_1_17_1","first-page":"2A","article-title":"Machine learning aspects of the MyShake global smartphone seismic network","volume":"90","author":"Kong Q.","year":"2018","unstructured":"Q. Kong , A. Inbal , R. M. Allen , Q. Lv , and A. Puder . 2018 . Machine learning aspects of the MyShake global smartphone seismic network . Seismological Research Letters , Vol. 90 , 2A (December 2018), 546--552. Q. Kong, A. Inbal, R. M. Allen, Q. Lv, and A. Puder. 2018. Machine learning aspects of the MyShake global smartphone seismic network. Seismological Research Letters, Vol. 90, 2A (December 2018), 546--552.","journal-title":"Seismological Research Letters"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of 15th International Conference on Innovations for Community Services (I4CS). 1--8.","author":"Kong Q.","unstructured":"Q. Kong , Y.-W. Kwon , L. Schreierz , S Allen , R. Allen , and J. Strauss . 2015. Smartphone-based networks for earthquake detection . In Proceedings of 15th International Conference on Innovations for Community Services (I4CS). 1--8. Q. Kong, Y.-W. Kwon, L. Schreierz, S Allen, R. Allen, and J. Strauss. 2015. Smartphone-based networks for earthquake detection. In Proceedings of 15th International Conference on Innovations for Community Services (I4CS). 1--8."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of ACM HotMobile. 57--62","author":"Kong Q.","unstructured":"Q. Kong , Q. Lv , and R. M. Allen . 2019. Earthquake early warning and beyond: Systems challenges in smartphone-based seismic network . In Proceedings of ACM HotMobile. 57--62 . Q. Kong, Q. Lv, and R. M. Allen. 2019. Earthquake early warning and beyond: Systems challenges in smartphone-based seismic network. In Proceedings of ACM HotMobile. 57--62."},{"key":"e_1_3_2_1_20_1","unstructured":"National Research Institute for Earth Science and Disaster Resilience (NIED). 2019. Strong-motion Seismograph Networks (K-NET KiK-net). http:\/\/www.kyoshin.bosai.go.jp\/kyoshin\/data\/index_en.html National Research Institute for Earth Science and Disaster Resilience (NIED). 2019. Strong-motion Seismograph Networks (K-NET KiK-net). http:\/\/www.kyoshin.bosai.go.jp\/kyoshin\/data\/index_en.html"},{"key":"e_1_3_2_1_21_1","volume-title":"Science Advances","volume":"4","author":"Perol T.","year":"2018","unstructured":"T. Perol , M. Gharbi , and M. Denolle . 2018. Convolutional neural network for earthquake detection and location . Science Advances , Vol. 4 , 2 ( 2018 ). T. Perol, M. Gharbi, and M. Denolle. 2018. Convolutional neural network for earthquake detection and location. Science Advances, Vol. 4, 2 (2018)."},{"key":"e_1_3_2_1_22_1","first-page":"1","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava N.","year":"2014","unstructured":"N. Srivastava , G. Hinton , A. Krizhevsky , I. Sutskever , and R. Salakhutdinov . 2014 . Dropout: A simple way to prevent neural networks from overfitting . Journal of Machine Learning Research (JMLR) , Vol. 15 , 1 (January 2014), 1929--1958. N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research (JMLR), Vol. 15, 1 (January 2014), 1929--1958.","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1193\/1.1586058"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00024-014-0933-5"},{"key":"e_1_3_2_1_25_1","first-page":"261","article-title":"PhaseNet: A deep-neural-network-based seismic arrival-time picking method","volume":"216","author":"Zhu W.","year":"2018","unstructured":"W. Zhu and G. C. Beroza . 2018 . PhaseNet: A deep-neural-network-based seismic arrival-time picking method . Geophysical Journal International , Vol. 216 , 1 (2018), 261 -- 273 . W. Zhu and G. C. Beroza. 2018. PhaseNet: A deep-neural-network-based seismic arrival-time picking method. Geophysical Journal International, Vol. 216, 1 (2018), 261--273.","journal-title":"Geophysical Journal International"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403378","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:30Z","timestamp":1750195890000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403378"}},"subtitle":["A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning"],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":25,"alternative-id":["10.1145\/3394486.3403378","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403378","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}