{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:39:38Z","timestamp":1743075578899,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030447502"},{"type":"electronic","value":"9783030447519"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-44751-9_35","type":"book-chapter","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T14:06:10Z","timestamp":1585663570000},"page":"417-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Failure Reasons Identification for the Next Generation WLAN: A Machine Learning Approach"],"prefix":"10.1007","author":[{"given":"Zhaozhe","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjiang","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,1]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Shi, T., Xu, X., Yuan, H., Yao, T.: Research on WLAN planning problem based on optimization models and multi-agent algorithm. In: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Ningbo, pp. 249\u2013254 (2017)","DOI":"10.1109\/ICCIS.2017.8274782"},{"key":"35_CR2","first-page":"683","volume":"35","author":"R Zhou","year":"2017","unstructured":"Zhou, R., Li, B., Yang, M., Yan, Z., Zuo, X.: QoS-oriented OFDMA MAC protocol for the next generation WLAN. Xibei Gongye Daxue Xuebao\/J. Northwest. Polytechnical Univ. 35, 683\u2013689 (2017)","journal-title":"Xibei Gongye Daxue Xuebao\/J. Northwest. Polytechnical Univ."},{"issue":"1","key":"35_CR3","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/COMST.2017.2768802","volume":"20","author":"S Jiang","year":"2018","unstructured":"Jiang, S.: State-of-the-art medium access control (MAC) protocols for underwater acoustic networks: a survey based on a MAC reference model. IEEE Commun. Surv. Tutor. 20(1), 96\u2013131 (2018)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Firdaus, F., Ahmad, N.A., Sahibuddin, S.: Effect of people around user to WLAN indoor positioning system accuracy. In: 2017 Palestinian International Conference on Information and Communication Technology (PICICT), Gaza City, pp. 17\u201321 (2017)","DOI":"10.1109\/PICICT.2017.21"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., Chen, I., Shih, K.: An In-band full duplex MAC protocol with interference free for next generation WLANs. In: 2018 International Conference on Electronics Technology (ICET), Chengdu, pp. 407\u2013410 (2018)","DOI":"10.1109\/ELTECH.2018.8401413"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Tsurumi, R., Morita, M., Obata, H., Takano, C., Ishida, K.: Throughput control method between different TCP variants based on SP-MAC Over WLAN. In: 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taichung, pp. 1\u20132 (2008)","DOI":"10.1109\/ICCE-China.2018.8448629"},{"key":"35_CR7","doi-asserted-by":"publisher","first-page":"37381","DOI":"10.1109\/ACCESS.2019.2904888","volume":"7","author":"JD Kim","year":"2019","unstructured":"Kim, J.D., Laurenson, D.I., Thompson, J.S.: Adaptive centralized random access for collision free wireless local area networks. IEEE Access 7, 37381\u201337393 (2019)","journal-title":"IEEE Access"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Qu, Q., Li, B., Yang, M., et al.: An OFDMA based concurrent multiuser MAC for upcoming IEEE 802.11ax. In: Wireless Communications & Networking Conference Workshops. IEEE (2015)","DOI":"10.1109\/WCNCW.2015.7122543"},{"key":"35_CR9","unstructured":"Yang, M., Li, B., Feng, G., Yan Z.: V-CNN: When Convolutional Neural Network encounters Data Visualization (2018)"},{"issue":"4","key":"35_CR10","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/TMI.2004.825627","volume":"23","author":"J Staal","year":"2004","unstructured":"Staal, J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., van Ginneken, B.: Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Med. Imag. 23(4), 501\u2013509 (2004)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"8","key":"35_CR11","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"TK Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 832\u2013844 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"35_CR12","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226\u20131238 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"10","key":"35_CR14","doi-asserted-by":"publisher","first-page":"1700","DOI":"10.1109\/TPAMI.2007.1096","volume":"29","author":"D Tao","year":"2007","unstructured":"Tao, D., Li, X., Wu, X., Maybank, S.J.: General tensor discriminant analysis and gabor features for gait recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1700\u20131715 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","IoT as a Service"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-44751-9_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T02:26:49Z","timestamp":1666232809000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-44751-9_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030447502","9783030447519"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-44751-9_35","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IoTaaS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Internet of Things as a Service","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iotaas2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iotaas2019.eai-conferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"106","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":"56","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":"0","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":"53% - 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":"3.73","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}