{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:08:14Z","timestamp":1743116894318,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031491894"},{"type":"electronic","value":"9783031491900"}],"license":[{"start":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T00:00:00Z","timestamp":1702080000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T00:00:00Z","timestamp":1702080000000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-49190-0_18","type":"book-chapter","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T09:02:36Z","timestamp":1702026156000},"page":"244-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Detecting Some Defective Items in\u00a0Group Testing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7356-7824","authenticated-orcid":false,"given":"Nader H.","family":"Bshouty","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1503-594X","authenticated-orcid":false,"given":"Catherine A.","family":"Haddad-Zaknoon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,9]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"04","DOI":"10.1134\/S0032946012020068","volume":"48","author":"R Ahlswede","year":"2012","unstructured":"Ahlswede, R., Deppe, C., Lebedev, V.: Finding one of d defective elements in some group testing models. Probl. Inf. Transm. 48, 04 (2012)","journal-title":"Probl. Inf. Transm."},{"key":"18_CR2","doi-asserted-by":"publisher","unstructured":"Balding, D.J., Bruno, W.J., Torney, D., Knill, E.: A comparative survey of non-adaptive pooling designs. In: Speed, T., Waterman, M.S. (eds.) Genetic Mapping and DNA Sequencing. The IMA Volumes in Mathematics and its Applications, vol. 81, pp. 133\u2013154. Springer, New York, NY (1996). https:\/\/doi.org\/10.1007\/978-1-4612-0751-1_8","DOI":"10.1007\/978-1-4612-0751-1_8"},{"issue":"1","key":"18_CR3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/0166-218X(92)00185-O","volume":"52","author":"A Bar-Noy","year":"1994","unstructured":"Bar-Noy, A., Hwang, F.K., Kessler, I., Kutten, S.: A new competitive algorithm for group testing. Discret. Appl. Math. 52(1), 29\u201338 (1994)","journal-title":"Discret. Appl. Math."},{"key":"18_CR4","unstructured":"Bshouty, N.H.: Lower bound for non-adaptive estimation of the number of defective items. In: 30th International Symposium on Algorithms and Computation, ISAAC 2019, December 8\u201311, 2019, Shanghai University of Finance and Economics, Shanghai, China, pp. 2:1\u20132:9 (2019)"},{"key":"18_CR5","unstructured":"Bshouty, N.H., Bshouty-Hurani, V.E., Haddad, G., Hashem, T., Khoury, F., Sharafy, O.: Adaptive group testing algorithms to estimate the number of defectives. In: Algorithmic Learning Theory, ALT 2018, 7\u20139 April 2018, Lanzarote, Canary Islands, Spain, pp. 93\u2013110 (2018)"},{"key":"18_CR6","unstructured":"Bshouty, N.H., Diab, N., Kawar, S.R., Shahla, R.J.: Non-adaptive randomized algorithm for group testing. In: International Conference on Algorithmic Learning Theory, ALT 2017, 15\u201317 October 2017, Kyoto University, Kyoto, Japan, pp. 109\u2013128 (2017)"},{"key":"18_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-030-38919-2_9","volume-title":"SOFSEM 2020: Theory and Practice of Computer Science","author":"NH Bshouty","year":"2020","unstructured":"Bshouty, N.H., Haddad, G., Haddad-Zaknoon, C.A.: Bounds for the number of tests in non-adaptive randomized algorithms for group testing. In: Chatzigeorgiou, A., et al. (eds.) SOFSEM 2020. LNCS, vol. 12011, pp. 101\u2013112. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-38919-2_9"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Cabrera Alvargonzalez, J.J., et al.: Pooling for SARs-COV-2 control in care institutions. BMC Inf. Dis. 20(1), 1\u20136 (2020)","DOI":"10.1186\/s12879-020-05446-0"},{"issue":"5","key":"18_CR9","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1016\/j.dam.2006.10.009","volume":"155","author":"H Chen","year":"2007","unstructured":"Chen, H., Hwang, F.K.: Exploring the missing link among d-separable, d$$^-$$-separable and d-disjunct matrices. Discret. Appl. Math. 155(5), 662\u2013664 (2007)","journal-title":"Discret. Appl. Math."},{"issue":"4","key":"18_CR10","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1287\/ijoc.2014.0591","volume":"26","author":"Y Cheng","year":"2014","unstructured":"Cheng, Y., Du, D., Xu, Y.: A zig-zag approach for competitive group testing. INFORMS J. Comput. 26(4), 677\u2013689 (2014)","journal-title":"INFORMS J. Comput."},{"key":"18_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1007\/978-3-642-27660-6_18","volume-title":"SOFSEM 2012: Theory and Practice of Computer Science","author":"P Damaschke","year":"2012","unstructured":"Damaschke, P., Muhammad, A.S.: Randomized group testing both query-optimal and minimal adaptive. In: Bielikov\u00e1, M., Friedrich, G., Gottlob, G., Katzenbeisser, S., Tur\u00e1n, G. (eds.) SOFSEM 2012. LNCS, vol. 7147, pp. 214\u2013225. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-27660-6_18"},{"issue":"4","key":"18_CR12","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1214\/aoms\/1177731363","volume":"14","author":"R Dorfman","year":"1943","unstructured":"Dorfman, R.: The detection of defective members of large populations. Ann. Math. Stat. 14(4), 436\u2013440 (1943)","journal-title":"Ann. Math. Stat."},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Du, D., Hwang, F.K.: Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing. World Scientific Publishing Company, Singapore (2006)","DOI":"10.1142\/6122"},{"issue":"3","key":"18_CR14","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/0166-218X(93)90011-C","volume":"45","author":"D Du","year":"1993","unstructured":"Du, D., Hwang, F.K.: Competitive group testing. Discret. Appl. Math. 45(3), 221\u2013232 (1993)","journal-title":"Discret. Appl. Math."},{"issue":"5","key":"18_CR15","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1137\/S0097539793246690","volume":"23","author":"D Du","year":"1994","unstructured":"Du, D., Park, H.: On competitive group testing. SIAM J. Comput. 23(5), 1019\u20131025 (1994)","journal-title":"SIAM J. Comput."},{"issue":"1","key":"18_CR16","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1137\/S0097539792227612","volume":"23","author":"D Du","year":"1994","unstructured":"Du, D., Xue, G., Sun, S., Cheng, S.: Modifications of competitive group testing. SIAM J. Comput. 23(1), 82\u201396 (1994)","journal-title":"SIAM J. Comput."},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Du, D.-Z., Hwang, F.K.: Combinatorial Group Testing and Its Applications. World Scientfic Publishing, Singapore (1993)","DOI":"10.1142\/1936"},{"key":"18_CR18","unstructured":"D.-Z. Du and F. K. Hwang. Pooling Designs And Nonadaptive Group Testing: Important Tools For DNA Sequencing. World Scientfic Publishing, Singapore (2006)"},{"key":"18_CR19","unstructured":"D\u2019yachkov, A.G., Rykov, V.V.: Bounds on the length of disjunctive codes. Probl. peredachi Inf. 18(3), 7\u201313 (1982)"},{"key":"18_CR20","doi-asserted-by":"publisher","first-page":"104381","DOI":"10.1016\/j.jcv.2020.104381","volume":"127","author":"AM Eis-H\u00fcbinger","year":"2020","unstructured":"Eis-H\u00fcbinger, A.M.: Ad hoc laboratory-based surveillance of SARS-CoV-2 by real-time rt-RT-PCR using minipools of RNA prepared from routine respiratory samples. J. Clin. Virol. 127, 104381 (2020)","journal-title":"J. Clin. Virol."},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Falahatgar, M., Jafarpour, A., Orlitsky, A., Pichapati, V., Suresh, A.T.: Estimating the number of defectives with group testing. In: IEEE International Symposium on Information Theory, ISIT 2016, Barcelona, Spain, 10\u201315 July 2016, pp. 1376\u20131380. IEEE (2016)","DOI":"10.1109\/ISIT.2016.7541524"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"F\u00fcredi, Z.: On r-cover-free families. J. Comb. Theory, Ser. A 73(1), 172\u2013173 (1996)","DOI":"10.1006\/jcta.1996.0012"},{"key":"18_CR23","unstructured":"Gollier, C., Gossner, O.: Group testing against covid-19. Covid Economics, pp. 32\u201342, April 2020"},{"key":"18_CR24","unstructured":"Haddad-Zaknoon, C.A.: Heuristic random designs for exact identification of defectives using single round non-adaptive group testing and compressed sensing. In: The Fourteenth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, BIOTECHNO 2022 (2022)"},{"key":"18_CR25","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1080\/01621459.1972.10481257","volume":"67","author":"FK Hwang","year":"1972","unstructured":"Hwang, F.K.: A method for detecting all defective members in a population by group testing. J. Amer. Stat. Assoc. 67, 605\u2013608 (1972)","journal-title":"J. Amer. Stat. Assoc."},{"issue":"8","key":"18_CR26","doi-asserted-by":"publisher","first-page":"2946","DOI":"10.1016\/j.jspi.2011.03.019","volume":"141","author":"GO Katona","year":"2011","unstructured":"Katona, G.O.: Finding at least one excellent element in two rounds. J. Stat. Planning Inf. 141(8), 2946\u20132952 (2011)","journal-title":"J. Stat. Planning Inf."},{"issue":"4","key":"18_CR27","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1109\/TIT.1964.1053689","volume":"10","author":"W Kautz","year":"1964","unstructured":"Kautz, W., Singleton, R.: Nonrandom binary superimposed codes. IEEE Trans. Inf. Theory 10(4), 363\u2013377 (1964)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"100510","DOI":"10.1016\/j.measen.2022.100510","volume":"24","author":"P Kuppusamy","year":"2022","unstructured":"Kuppusamy, P., Bharathi, V.: Human abnormal behavior detection using CNNs in crowded and uncrowded surveillance - a survey. Meas. Sens. 24, 100510 (2022)","journal-title":"Meas. Sens."},{"key":"18_CR29","doi-asserted-by":"crossref","unstructured":"Liang, W., Zou, J.: Neural group testing to accelerate deep learning. In: IEEE International Symposium on Information Theory, ISIT 2021. IEEE (2021)","DOI":"10.1109\/ISIT45174.2021.9518038"},{"key":"18_CR30","doi-asserted-by":"crossref","unstructured":"Mentus, C., Romeo, M., DiPaola, C.: Analysis and applications of adaptive group testing methods for covid-19. medRxiv (2020)","DOI":"10.1101\/2020.04.05.20050245"},{"issue":"12","key":"18_CR31","doi-asserted-by":"publisher","first-page":"7982","DOI":"10.1109\/TIT.2011.2163296","volume":"57","author":"E Porat","year":"2011","unstructured":"Porat, E., Rothschild, A.: Explicit nonadaptive combinatorial group testing schemes. IEEE Trans. Inf. Theory 57(12), 7982\u20137989 (2011)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"18_CR32","doi-asserted-by":"crossref","unstructured":"Roth, R.M.: Introduction to Coding Theory. Cambridge University Press, Cambridge (2006)","DOI":"10.1017\/CBO9780511808968"},{"issue":"2","key":"18_CR33","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/0097-3165(94)90067-1","volume":"66","author":"M Ruszink\u00f3","year":"1994","unstructured":"Ruszink\u00f3, M.: On the upper bound of the size of the r-cover-free families. J. Comb. Theory Ser. A 66(2), 302\u2013310 (1994)","journal-title":"J. Comb. Theory Ser. A"},{"issue":"1\u20132","key":"18_CR34","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1017\/S0963548304006649","volume":"14","author":"J Schlaghoff","year":"2005","unstructured":"Schlaghoff, J., Triesch, E.: Improved results for competitive group testing. Comb. Probab. Comput. 14(1\u20132), 191\u2013202 (2005)","journal-title":"Comb. Probab. Comput."},{"key":"18_CR35","doi-asserted-by":"crossref","unstructured":"Shani-Narkiss, H., Gilday, O.D., Yayon, N., Landau, I.D.: Efficient and practical sample pooling for high-throughput PCR diagnosis of covid-19. medRxiv (2020)","DOI":"10.1101\/2020.04.06.20052159"},{"key":"18_CR36","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1002\/j.1538-7305.1959.tb03914.x","volume":"38","author":"M Sobel","year":"1959","unstructured":"Sobel, M., Groll, P.A.: Group testing to eliminate efficiently all defectives in a binomial sample. Bell Syst. Tech. J. 38, 1179\u20131252 (1959)","journal-title":"Bell Syst. Tech. J."},{"issue":"1","key":"18_CR37","doi-asserted-by":"publisher","first-page":"61","DOI":"10.4018\/JDM.2019010104","volume":"30","author":"W Wang","year":"2019","unstructured":"Wang, W., Siau, K.: Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: a review and research agenda. J. Database Manage. (JDM) 30(1), 61\u201379 (2019)","journal-title":"J. Database Manage. (JDM)"},{"issue":"2","key":"18_CR38","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TIT.1985.1057026","volume":"31","author":"J Wolf","year":"1985","unstructured":"Wolf, J.: Born again group testing: multiaccess communications. IEEE Trans. Inf. Theory 31(2), 185\u2013191 (1985)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"18_CR39","doi-asserted-by":"publisher","first-page":"100687","DOI":"10.1016\/j.disopt.2022.100687","volume":"43","author":"J Wu","year":"2022","unstructured":"Wu, J., Cheng, Y., Du, D.: An improved zig zag approach for competitive group testing. Discret. Optim. 43, 100687 (2022)","journal-title":"Discret. Optim."},{"key":"18_CR40","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Doll\u00e1r, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1492\u20131500 (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"18_CR41","doi-asserted-by":"crossref","unstructured":"Yelin, I., et al.: Evaluation of covid-19 rt-qPCR test in multi-sample pools. medRxiv (2020)","DOI":"10.1101\/2020.03.26.20039438"}],"container-title":["Lecture Notes in Computer Science","Computing and Combinatorics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-49190-0_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T09:10:46Z","timestamp":1702026646000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-49190-0_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,9]]},"ISBN":["9783031491894","9783031491900"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-49190-0_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,9]]},"assertion":[{"value":"9 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COCOON","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Computing and Combinatorics Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hawaii, HI","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cocoon2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/theory.utdallas.edu\/COCOON2023\/org.html","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":"Springer EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"146","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":"60","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":"41% - 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":"6","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)"}}]}}