{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T08:43:12Z","timestamp":1766306592854,"version":"3.48.0"},"reference-count":16,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"vor","delay-in-days":261,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.procs.2025.09.209","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T22:13:28Z","timestamp":1762467208000},"page":"891-899","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Decision-making based on a series of diagnoses"],"prefix":"10.1016","volume":"270","author":[{"given":"Krzywoszyja","family":"Grzegorz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konrad","family":"Stefanowicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2025.09.209_bib1","doi-asserted-by":"crossref","unstructured":"U. Libal, P. Biernacki, \u201cDrone Flight Detection at an Entrance to a Beehive Based on Audio Signals.\u201d Archives of Acoustics, 49, 3, pp. 459\u2013468, 2024","DOI":"10.24425\/aoa.2024.148796"},{"key":"10.1016\/j.procs.2025.09.209_bib2","unstructured":"A. Or\u0142owska, D. Fourer, \u201cIdentification of Beehive Piping Audio Signals.\u201d IEEE DataPort, 2021. https:\/\/dx.doi.org\/10.21227\/53mq-g936"},{"key":"10.1016\/j.procs.2025.09.209_bib3","doi-asserted-by":"crossref","unstructured":"D. Kanelis, V. Liolios, F. Papadopoulou, M.-A. Rodopoulou, D. Kampelopoulos, K. Siozios, C. Tananaki, \u201cDecoding the Behavior of a Queenless Colony Using Sound Signals,\u201d Biology, 12(11), 1392, 2023. https:\/\/doi.org\/10.3390\/biology12111392","DOI":"10.3390\/biology12111392"},{"key":"10.1016\/j.procs.2025.09.209_bib4","doi-asserted-by":"crossref","unstructured":"I. T. Ardekani, S. Pour, H. R. Sharifzadeh, \u201cReal-time swarming detection in honeybees: Leveraging audio signal processing and machine learning techniques,\u201d The Journal of the Acoustical Society of America, 2023. https:\/\/api.semanticscholar.org\/CorpusID:265546926","DOI":"10.1121\/10.0023330"},{"key":"10.1016\/j.procs.2025.09.209_bib5","doi-asserted-by":"crossref","unstructured":"G. Krzywoszyja, R. Rybski, G. Andrzejewski, \u201cBee swarm detection based on comparison of estimated distributions samples of sound,\u201d IEEE EEE Transactions on Instrumentation and Measurementvol, 68, no. 10, pp. 3776-3784, 2019.","DOI":"10.1109\/TIM.2018.2878594"},{"issue":"10","key":"10.1016\/j.procs.2025.09.209_bib6","doi-asserted-by":"crossref","first-page":"17395","DOI":"10.1109\/JSEN.2025.3531698","article-title":"\u201cHoney Bee Piping Detection Utilizing Convolutional Neural Networks\u201d","volume":"25","author":"Campell","year":"2025","journal-title":"IEEE Sensors Journal"},{"key":"10.1016\/j.procs.2025.09.209_bib7","unstructured":"K. Hackett, \u201cColony Collapse Disorder 2012 Annual Progress Report,\u201d U.S. Department of Agriculture Washington, June 2012, www.ars.usda.gov\/is\/br\/ccd\/ccdprogressreport2012.pdf."},{"key":"10.1016\/j.procs.2025.09.209_bib8","doi-asserted-by":"crossref","unstructured":"Danieli, Pier Paolo, et al. \u201cPrecision beekeeping systems: State of the art, pros and cons, and their application as tools for advancing the beekeeping sector,\u201d Animals 14.1 (2023): 70.","DOI":"10.3390\/ani14010070"},{"key":"10.1016\/j.procs.2025.09.209_bib9","unstructured":"B. Madras-Majewska, J. Majewski. \u201cImportance of bees in pollination of crops in the European Union countries,\u201d Economic Science for Rural Development Conference Proceedings. No. 42. 2016."},{"key":"10.1016\/j.procs.2025.09.209_bib10","unstructured":"C. Basztura, \u201cKomputerowe Systemy Diagnostyki Akustycznej,\u201d Warszawa, Wydawnictwo Naukowe PWN, 1996."},{"key":"10.1016\/j.procs.2025.09.209_bib11","doi-asserted-by":"crossref","unstructured":"G. Kastberger, T. Weihmann, T. Hoetzl, \u201cSocial waves in giant honeybees (Apis dorsata) elicit nest vibrations,\u201d Springer, Naturwissenschaften, May 2013 pp. 595","DOI":"10.1007\/s00114-013-1056-z"},{"key":"10.1016\/j.procs.2025.09.209_bib12","doi-asserted-by":"crossref","unstructured":"D. Mezquida, J. Mart\u00ednez, \u201cShort communication. Platform for bee-hives monitoring based on sound analysis. A perpetual warehouse for swarm\u2019s daily activity,\u201d Spanish Journal of Agricultural Research Madrid, Vol. 7, No. 4, s. 824\u2013828, 2009.","DOI":"10.5424\/sjar\/2009074-1109"},{"key":"10.1016\/j.procs.2025.09.209_bib13","doi-asserted-by":"crossref","unstructured":"S. Schneider, L. Lewis, \u201cThe vibration signal, modulatory communication and the organization of labor in honey bees, Apis mellifera,\u201d Apidologie, 2004, vol. 35 pp. 117","DOI":"10.1051\/apido:2004006"},{"key":"10.1016\/j.procs.2025.09.209_bib14","doi-asserted-by":"crossref","unstructured":"Y. Zhuang, L. Chen, X.S. Wang, \u201cA weighted moving average-based approach for cleaning sensor data,\u201d 27th International Conference on Distributed Computing Systems (ICDCS\u201907). IEEE, 2007.","DOI":"10.1109\/ICDCS.2007.83"},{"key":"10.1016\/j.procs.2025.09.209_bib15","unstructured":"L. Van der Maaten, G. Hinton, \u201cVisualizing High-Dimensional Data Using t-SNE,\u201d Journal of Machine Learning Research 9, nr 9, p. 2579\u20132605, 2008."},{"key":"10.1016\/j.procs.2025.09.209_bib16","unstructured":"S. Osowski, \u201cMetody i narz\u0119dzia eksploracji danych.,\u201d Wydawnictwo BTC, 2013."}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050925028790?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050925028790?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T08:38:17Z","timestamp":1766306297000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877050925028790"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":16,"alternative-id":["S1877050925028790"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2025.09.209","relation":{},"ISSN":["1877-0509"],"issn-type":[{"type":"print","value":"1877-0509"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Decision-making based on a series of diagnoses","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2025.09.209","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}