{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T02:30:17Z","timestamp":1786156217856,"version":"3.56.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031204890","type":"print"},{"value":"9783031204906","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20490-6_26","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T04:01:09Z","timestamp":1672545669000},"page":"325-338","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Digital Transformation of\u00a0the\u00a0Flotation Monitoring Towards an\u00a0Online Analyzer"],"prefix":"10.1007","author":[{"given":"Ahmed","family":"Bendaouia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"El Hassan","family":"Abdelwahed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Qassimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdelmalek","family":"Boussetta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abderrahmane","family":"Benhayoun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Intissar","family":"Benzakour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oumkeltoum","family":"Amar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yahia","family":"Zennayi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fran\u00e7ois","family":"Bourzeix","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karim","family":"Ba\u00efna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salah","family":"Ba\u00efna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdessamad","family":"Khalil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mouhamed","family":"Cherkaoui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oussama","family":"Hasidi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"26_CR1","unstructured":"Peroni, F.R.: Mining haul roads: theory and practice. Chemical Rubber Company 2019"},{"key":"26_CR2","unstructured":"M\u0103rgulescu, F.S., Moag\u0103r-Poladian, S.S.: GLOBAL ECONOMIC OBSERVER (2017). http:\/\/www.globeco.ro\/"},{"key":"26_CR3","unstructured":"McKinsey, F.: Report on Economic Impact of disruptive technologies. McKinsey (2015)"},{"key":"26_CR4","doi-asserted-by":"publisher","unstructured":"Qassimi, S., Abdelwahed, E.H.: Disruptive Innovation in Mining Industry 4.0, Distributed Sensing and Intelligent Systems (2022). https:\/\/doi.org\/10.1007\/978-3-030-64258-7_28","DOI":"10.1007\/978-3-030-64258-7_28"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"McCoy, J.T., Auret, F.L.: Machine learning applications in minerals processing: a review. J. Minerals Eng. 132, 95\u2013109 (2019)","DOI":"10.1016\/j.mineng.2018.12.004"},{"key":"26_CR6","unstructured":"Danish, A., Frimpong, S.F.: Identification of digital technologies and digitalisation trends in the mining industry. Artificial Intelligence Review Springer (2020)"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Barnewold, L., Lottermoser, B.G.: Identification of digital technologies and digitalisation trends in the mining. Int. J. Mining Sci. Technol. 30, 747\u2013757 (2020)","DOI":"10.1016\/j.ijmst.2020.07.003"},{"key":"26_CR8","unstructured":"Tabaei, M., Esfahani, M.M., Rasekh, P., Esna-ashari, A.: Mineral prospectivity mapping in GIS using fuzzy logic integration in Khondab area, western Markazi province Iran. J. Tethys (2017)"},{"key":"26_CR9","unstructured":"Iphar, M., Cukurluoz, A.K.: Fuzzy risk assessment for mechanized underground coal mines in Turkey. Int. J. Occup. Safety Ergonom. (2020)"},{"key":"26_CR10","doi-asserted-by":"publisher","unstructured":"Bui, X-N., Nguyen, H., Le, H.-A., Bui, H.-B., Do, N.-H.: Prediction of blast-induced air over-pressure in open-pit mine: assessment of different artificial intelligence techniques. J. Nat. Resour. Res. (2020). https:\/\/doi.org\/10.1007\/s11053-019-09461-0","DOI":"10.1007\/s11053-019-09461-0"},{"key":"26_CR11","unstructured":"Tiile, R.N.: Artificial neural network approach to predict blast-induced ground vibration, airblast and rock fragmentation, Thesis at Missouri University of Science and Technology (2016)"},{"key":"26_CR12","unstructured":"Takbiri-Borujeni, A., Fathi, E., Sun, T., Rahmani, R., Khazaeli, F.: Drilling performance monitoring and optimization: a data-driven approach, air blast and rock fragmentation. J. Petroleum Explor. Prod. Technol. (2019)"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Gohel, H.A., Upadhyay, H., Lagos, L., Cooper, K., Sanzetenea, A.: Predictive maintenance architecture development for nuclear infrastructure using machine learning. J. Nuclear Eng. Technol. (2020)","DOI":"10.1016\/j.net.2019.12.029"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Dusan, P., Fleming-Mu\u00f1oz, D.: Automation and robotics in mining: jobs, income and inequality implications. J. Extract. Ind. Soc. 8, 189\u2013193 (2021)","DOI":"10.1016\/j.exis.2021.01.004"},{"key":"26_CR15","unstructured":"Zhiping, W., Changkui, Z., Jinhe, P., Tiancheng, N., Changchun, Z., Zhaolin, L.: Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network. J. Minerals Eng. (2021)"},{"key":"26_CR16","unstructured":"Walker, C.J.: Fourier Transform Infrared Spectroscopy and Machine Learning Techniques for the Sensitive Identification of Organics in Rocks, Thesis in Delaware State University (2020)"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Dalm, M., Buxton, M., van Ruitenbeek, F.: Discriminating ore and waste in a porphyry copper deposit using short-wavelength infrared (SWIR) hyperspectral imagery. J. Minerals Eng. (2017)","DOI":"10.1016\/j.mineng.2016.12.013"},{"key":"26_CR18","unstructured":"Jin, Z., Zhaohui, T., Jinping, L., Zhen, T., Pengfei, X.: Recognition of flotation working conditions through froth image statistical modeling for performance monitoring. J. Minerals Eng. (2016)"},{"key":"26_CR19","unstructured":"Zarie, M., Jahedsaravani, A., Massinaei, M.: Flotation froth image classification using convolutional neural networks. J. Minerals Eng. (2016)"},{"key":"26_CR20","unstructured":"Mengcheng, T., Changchun, Z., Ningning, Z., Cheng, L., Jinhe, P., Shanshan, C.: Prediction of the ash content of flotation concentrate based on froth image processing and BP neural network modeling. Int. J. Coal Preparation Utilization (2021)"},{"key":"26_CR21","unstructured":"Jinping, L., et al.: Online monitoring of flotation froth bubble-size distributions via multiscale deblurring and multistage jumping feature-fused full convolutional networks. J. Trans. Instrum. Meas. (2020)"}],"container-title":["Communications in Computer and Information Science","Smart Applications and Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20490-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T05:07:08Z","timestamp":1672549628000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20490-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031204890","9783031204906"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20490-6_26","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SADASC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Applications and Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sadasc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ccps.sadasc.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}