{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:35:04Z","timestamp":1742920504269,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811911651"},{"type":"electronic","value":"9789811911668"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-19-1166-8_5","type":"book-chapter","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T04:28:18Z","timestamp":1646886498000},"page":"53-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4711-2707","authenticated-orcid":false,"given":"Ojaswi","family":"Bhimineni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6740-876X","authenticated-orcid":false,"given":"Geda Sai Venkata","family":"Abhijith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3826-1084","authenticated-orcid":false,"given":"Srikanth","family":"Prabhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,11]]},"reference":[{"key":"5_CR1","unstructured":"Sumari, A.D.W., Sereati, C.O., Ahmad, A.S., Adiono, T.: Constructing an architecture for cognitive processor based on knowledge-growing system algorithm. In: The Proceedings of 2020 International Symposium on Nano Science and Technology, 30\u201331 October 2015, pp. 0-04 (2015)"},{"issue":"1","key":"5_CR2","first-page":"1137","volume":"2","author":"KO Bachri","year":"2019","unstructured":"Bachri, K.O., Anggoro, B., Sumari, A.D.W., Ahmad, A.S.: Cognitive artificial intelligence method for interpreting transformer condition based on maintenance data. Adv. Sci. Technol. Eng. Syst. J. 2(1), 1137\u20131146 (2019)","journal-title":"Adv. Sci. Technol. Eng. Syst. J."},{"key":"5_CR3","unstructured":"Ahmad, A.S., Sumari, A.D.W.: A novel perspective on artificial intelligence: information-inferencing fusion for knowledge growing. In: The 2nd International Conference on Electrical Engineering and Informatics 2019, Keynote Speech Paper, 6 August 2009 (2019)"},{"key":"5_CR4","unstructured":"Bednarczyk, W., Gajewski, P.: Hidden Markov models based channel status prediction for cognitive radio networks. In: Proceedings of Progress in Electromagnetics Research Symposium, Prague, Czech Republic, pp. 2770\u20132773 (2019)"},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/mwc.2014.6845054","volume":"21","author":"X Lu","year":"2019","unstructured":"Lu, X., Wang, P., Niyato, D., Hossain, E.: Dynamic spectrum access in cognitive radio networks with RF energy harvesting. IEEE Wirel. Commun. 21(3), 102\u2013110 (2019). https:\/\/doi.org\/10.1109\/mwc.2014.6845054","journal-title":"IEEE Wirel. Commun."},{"issue":"1","key":"5_CR6","first-page":"21","volume":"17","author":"YEL Morabit","year":"2019","unstructured":"Morabit, Y.E.L., Mrabti, F., Abarkan, E.H.: Survey of artificial intelligence approaches in cognitive radio networks. J. lnf. Commun. Converg. Eng. 17(1), 21\u201340 (2019)","journal-title":"J. lnf. Commun. Converg. Eng."},{"key":"5_CR7","unstructured":"Politanskyi, R., Klymash, M.: Application of artificial intelligence in cognitive radio for planning distribution of frequency channels. IEEE (20190). 978-1-7281-2399-8\/19\/$31.00"},{"key":"5_CR8","unstructured":"Datumaya, A., Sumari, W., Ahmad, A.S.: Knowledge-growing system: the origin of the cognitive artificial intelligence. IEEE (2047). 978-1-5386-0475-5\/17\/$31.00"},{"key":"5_CR9","unstructured":"Ahmad, A.S., Bachri, K.O.: Cognitive artificial intelligence method for measuring transformer performance. IEEE (2016). . 978-1-5090-4171-8\/16\/$31.00"},{"issue":"4","key":"5_CR10","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1109\/TSMCB.2009.2013721","volume":"39","author":"Y Wang","year":"2009","unstructured":"Wang, Y., Kinsner, W., Zhang, D.: Contemporary cybernetics and its facets of cognitive informatics and computational intelligence. IEEE Trans. Syst. Man Cybern. Part B Cybern. 39(4), 823\u2013833 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"47217","DOI":"10.1109\/access.2018.2857843","volume":"6","author":"G Sklivanitis","year":"2008","unstructured":"Sklivanitis, G., et al.: Airborne cognitive networking: design, development, and deployment. IEEE Access 6, 47217\u201347239 (2008). https:\/\/doi.org\/10.1109\/access.2018.2857843","journal-title":"IEEE Access"},{"issue":"1","key":"5_CR12","first-page":"313","volume":"9","author":"C Xu","year":"2007","unstructured":"Xu, C., Li, Y., Yang, Y., Xian, Y.: A novel spectrum prediction algorithm for cognitive radio system based on chaotic neural network. J. Comput. Inf. Syst. 9(1), 313\u2013320 (2007)","journal-title":"J. Comput. Inf. Syst."},{"key":"5_CR13","unstructured":"Hemmert, F., Becker, P., G\u00f6rts, A., Hrlic, D., Netzer, D.V., Weld, C.J.: Aicracy: everyday objects from a future society governed by an artifical intelligence. Mensch & Computer (2007)"},{"key":"5_CR14","unstructured":"Begel, A.: Best practices for engineering AI infused applications: lessons learned from microsoft teams. In: 2007 IEEE\/ACM Joint 7th International Workshop on Conducting Empirical Studies in Industry (CESI) and 6th International Workshop on Software Engineering Research and Industrial Practice (SER&IP) (2007)"},{"key":"5_CR15","doi-asserted-by":"publisher","unstructured":"Kose, U., Vasant, P.: Fading intelligence theory: a theory on keeping artificial intelligence safety for the future. In: 2005 International Artificial Intelligence and Data Processing Symposium (2017). https:\/\/doi.org\/10.1109\/IDAP.2027.8090235","DOI":"10.1109\/IDAP.2027.8090235"}],"container-title":["Communications in Computer and Information Science","Applications and Techniques in Information Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-1166-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T04:30:36Z","timestamp":1646886636000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-1166-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811911651","9789811911668"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-1166-8_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ATIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications and Techniques in Information Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atis2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.atis2021.conferences.academy\/","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":"67","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":"9","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":"5","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":"13% - 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":"6","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":"2","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)"}}]}}