{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T04:48:16Z","timestamp":1777697296139,"version":"3.51.4"},"reference-count":41,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDT"],"published-print":{"date-parts":[[2019,9,9]]},"DOI":"10.3233\/idt-180003","type":"journal-article","created":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T12:18:52Z","timestamp":1565093932000},"page":"295-303","source":"Crossref","is-referenced-by-count":5,"title":["Proficient 3-class classification model for confident overlap value based fuzzified aquatic information extracted tsunami prediction"],"prefix":"10.1177","volume":"13","author":[{"given":"Nikita","family":"Jain","sequence":"first","affiliation":[{"name":"University School of Information, Communication and Technology, Gobind Singh Indraprastha Universty, Delhi, India"},{"name":"Bharati Vidyapeeth\u2019s College of Engineering, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepali","family":"Virmani","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajith","family":"Abraham","sequence":"additional","affiliation":[{"name":"Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence, Auburn, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDT-180003_ref1","unstructured":"Joseph A. Tsunamis: Detection, monitoring, and early-warning technologies. Academic Press. 2011."},{"key":"10.3233\/IDT-180003_ref2","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ijdrr.2014.07.008","article-title":"Tsunami risk reduction \u2013 are we better prepared today than in 2004","volume":"10","author":"L\u00f8vholt","year":"2014","journal-title":"International Journal of Disaster Risk Reduction"},{"key":"10.3233\/IDT-180003_ref3","unstructured":"Lassa JA. The west Sumatra earthquakes: Not learning our lessons? 2016."},{"issue":"3-4","key":"10.3233\/IDT-180003_ref4","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1007\/s00024-014-0950-4","article-title":"Implementation and challenges of the Tsunami Warning System in the Western Mediterranean","volume":"172","author":"Schindel\u00e9","year":"2015","journal-title":"Pure and Applied Geophysics"},{"issue":"1","key":"10.3233\/IDT-180003_ref5","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1111\/j.1365-2451.2005.00495.x","article-title":"The Asian Tsunami disaster, December 2004.","volume":"21","author":"Waltham","year":"2005","journal-title":"Geology Today"},{"key":"10.3233\/IDT-180003_ref6","unstructured":"Mott M. Did animals sense tsunami wascoming. In: National Geographic News 4. 2005."},{"key":"10.3233\/IDT-180003_ref7","unstructured":"Corea Ravi. Nature: Eyewitness accounts. 2008; http:\/\/www.pbs.org\/wnet\/nature\/can-animals-predict-disaster-ravi-corea\/137\/."},{"issue":"2","key":"10.3233\/IDT-180003_ref8","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3390\/ani4020131","article-title":"Unusual animal behavior preceding the 2011 earthquake off the pacific coast of tohoku, Japan: A way to predict the approach of large earthquakes","volume":"4","author":"Yamauchi","year":"2014","journal-title":"Animals"},{"key":"10.3233\/IDT-180003_ref9","unstructured":"Grasso VF, Singh A. Early warning systems: State-of-art analysis and future directions. Draft Report. 2011; UNEP, 1."},{"issue":"5","key":"10.3233\/IDT-180003_ref10","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.oceaneng.2007.11.009","article-title":"An ANN algorithm for automatic, real-time tsunami detection in deep-sea level measurements","volume":"35","author":"Beltrami","year":"2008","journal-title":"Ocean Engineering"},{"key":"10.3233\/IDT-180003_ref11","first-page":"3","article-title":"Animals: A natural messenger for disasters","volume":"4","author":"Tiwari","year":"2011","journal-title":"Journal of Natural Products"},{"key":"10.3233\/IDT-180003_ref12","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.ijdrr.2017.04.005","article-title":"Risk awareness and intended tsunami evacuation behaviour of international tourists in Kamakura City, Japan","volume":"23","author":"Arce","year":"2017","journal-title":"International Journal of Disaster Risk Reduction"},{"issue":"6","key":"10.3233\/IDT-180003_ref13","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.5194\/nhess-6-1035-2006","article-title":"Meteotsunamis: Atmospherically induced destructive ocean waves in the tsunami frequency band","volume":"6","author":"Monserrat","year":"2006","journal-title":"Natural Hazards and Earth System Science"},{"issue":"4","key":"10.3233\/IDT-180003_ref14","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/S0955-7997(01)00113-8","article-title":"Development of a 3D numerical wave tank for modeling tsunami generation by underwater landslides","volume":"26","author":"Grilli","year":"2002","journal-title":"Engineering Analysis with Boundary Elements"},{"key":"10.3233\/IDT-180003_ref15","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.proeng.2014.02.035","article-title":"Tsunami early warning system based on real-time measurements of hydro-acoustic waves","volume":"70","author":"Cecioni","year":"2014","journal-title":"Procedia Engineering"},{"key":"10.3233\/IDT-180003_ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.coastaleng.2015.11.010","article-title":"Real-time forecasting of near-field tsunami waveforms at coastal areas using a regularized extreme learning machine","volume":"109","author":"Mulia","year":"2016","journal-title":"Coastal Engineering"},{"key":"10.3233\/IDT-180003_ref17","unstructured":"Stephen Messenger, Natural Sciences. Can whale strandings help predict earthquakes? 2011; https:\/\/www.treehugger.com\/natural-sciences\/can-whale-strandings-help-predict-earthquakes.html."},{"key":"10.3233\/IDT-180003_ref18","unstructured":"Seaburn Paul. 160 beached whales may be a Japanese earthquake warning. 2015; http:\/\/mysteriousuniverse.org\/2015\/04\/160-beached-whales-may-be-a-japanese-earthquake-warning\/."},{"issue":"4","key":"10.3233\/IDT-180003_ref19","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1111\/j.1469-7998.2010.00700.x","article-title":"Predicting the unpredictable; evidence of pre-seismic anticipatory behaviour in the common toad","volume":"281","author":"Grant","year":"2010","journal-title":"Journal of Zoology"},{"key":"10.3233\/IDT-180003_ref20","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.ijdrr.2016.12.016","article-title":"The 2016 Fukushima earthquake and tsunami: Local tsunami behavior and recommendations for tsunami disaster risk reduction","volume":"21","author":"Suppasri","year":"2017","journal-title":"International Journal of Disaster Risk Reduction"},{"key":"10.3233\/IDT-180003_ref21","unstructured":"News Now. An overhaul of the current Civil Defence structure is on the cards after the Government ac-knowledged the current network is failing. 2016; https:\/\/www.tvnz.co.nz\/one-news\/new-zealand\/failure-tsunami-warning-system-after-mondays-quake-sparks-civil-defence-overhaul. (Visited on 11\/18\/2016)."},{"key":"10.3233\/IDT-180003_ref22","first-page":"1103","article-title":"Intelligent information retrieval for Tsunami detection using wireless sensor nodes","author":"Virmani","year":"2016","journal-title":"Advances in Computing, Communications and Informatics (ICACCI)"},{"key":"10.3233\/IDT-180003_ref23","doi-asserted-by":"crossref","unstructured":"Schultz IR, Woodruff DL, Marshall KE, Pratt WJ, Roesijadi G. Effects of electromagnetic fields on fish and invertebrates (No. PNNL-19883). Pacific Northwest National Laboratory (PNNL). 2010; Richland, WA (US).","DOI":"10.2172\/1012305"},{"key":"10.3233\/IDT-180003_ref24","unstructured":"Tricas T. Effects of EMFs from undersea power cables on elasmobranchs and other marine species. DIANE Publishing. 2012."},{"issue":"8","key":"10.3233\/IDT-180003_ref25","first-page":"709","article-title":"Surprises and insights from long-term aquatic data sets and experiments","volume":"62","author":"Dodds","year":"2012","journal-title":"Bio Science"},{"issue":"11","key":"10.3233\/IDT-180003_ref26","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1242\/jeb.015792","article-title":"The sensory ecology of ocean navigation","volume":"211","author":"Lohmann","year":"2008","journal-title":"Journal of Experimental Biology"},{"key":"10.3233\/IDT-180003_ref27","first-page":"1","article-title":"An empirical analysis of multiclass classification techniques in data mining","author":"Kotecha","year":"2011","journal-title":"2011 Nirma University International Conference on Engineering IEEE"},{"issue":"1","key":"10.3233\/IDT-180003_ref28","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1080\/07421222.1999.11518233","article-title":"Choosing data-mining methods for multiple classification: Representational and performance measurement implications for decision support","volume":"16","author":"Spangler","year":"1999","journal-title":"Journal of Management Information Systems"},{"issue":"3","key":"10.3233\/IDT-180003_ref29","doi-asserted-by":"crossref","first-page":"199","DOI":"10.22329\/amr.v12i3.660","article-title":"A truly multivariate approach to MANOVA","volume":"12","author":"Grice","year":"2007","journal-title":"Applied Multivariate Research"},{"issue":"8","key":"10.3233\/IDT-180003_ref30","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/34.400565","article-title":"Structural matching in computer vision using probabilistic relaxation","volume":"17","author":"Christmas","year":"1995","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"10.3233\/IDT-180003_ref31","doi-asserted-by":"crossref","first-page":"5432","DOI":"10.1016\/j.eswa.2008.06.054","article-title":"Feature selection for text classification with Na\u00efve Bayes","volume":"36","author":"Chen","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.3233\/IDT-180003_ref32","doi-asserted-by":"crossref","first-page":"381","DOI":"10.5194\/hess-9-381-2005","article-title":"Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS)","volume":"9","author":"Pappenberger","year":"2005","journal-title":"Hydrology and Earth System Sciences Discussions"},{"key":"10.3233\/IDT-180003_ref33","doi-asserted-by":"crossref","unstructured":"Zadeh LA. Fuzzy sets, Information and Control. 1965; 8: 338-358.","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"10.3233\/IDT-180003_ref34","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1109\/21.199466","article-title":"Generating fuzzy rules by learning from examples","volume":"22","author":"Wang","year":"1992","journal-title":"IEEE Trans. on Systems, Man and Cybernetics"},{"key":"10.3233\/IDT-180003_ref35","unstructured":"OBIS-seamap. Ocean biogeographic information system spatial ecological analysis of megavertebrate populations. http:\/\/seamap.env.duke.edu\/."},{"key":"10.3233\/IDT-180003_ref36","unstructured":"The global diversity information facility: http:\/\/www.gbif.org\/what-is-gbif."},{"key":"10.3233\/IDT-180003_ref37","unstructured":"Jain N, Virmani D. A novel navigation based decision algorithm to generate tsunami alerts using sensor nodes. Compusoft. 2018; 7(12), 2945."},{"key":"10.3233\/IDT-180003_ref38","unstructured":"Jain N, Virmani D. Feature classification for underwater seismic prediction using wireless sensor nodes. in: Proceedings of the International MultiConference of Engineers and Computer Scientists. 2017; 1."},{"key":"10.3233\/IDT-180003_ref39","doi-asserted-by":"crossref","unstructured":"Afzaal M, Usman M, Fong ACM, Fong S, Zhuang Y. Fuzzy aspect based opinion classification system for mining tourist reviews. Advances in Fuzzy Systems. 2016, 2.","DOI":"10.1155\/2016\/6965725"},{"key":"10.3233\/IDT-180003_ref40","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ins.2015.11.006","article-title":"Fuzzy rule-based classification systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the fuzzy reasoning method","volume":"332","author":"Elkano","year":"2016","journal-title":"Information Sciences"},{"key":"10.3233\/IDT-180003_ref41","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1109\/CSPC.2017.8305853","article-title":"Mining underground alert signals for seismic detection using wireless sensor nodes","author":"Jain","year":"2017","journal-title":"2017 International Conference on Signal Processing and Communication (ICSPC) IEEE"}],"container-title":["Intelligent Decision Technologies"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDT-180003","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:22:34Z","timestamp":1777454554000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDT-180003"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,9]]},"references-count":41,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/idt-180003","relation":{},"ISSN":["1872-4981","1875-8843"],"issn-type":[{"value":"1872-4981","type":"print"},{"value":"1875-8843","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,9]]}}}