An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences

التفاصيل البيبلوغرافية
العنوان:	An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences
المؤلفون:	Moni, Raka^Aff14, Zahid Hasan, Md.^Aff14, Shahriar Shakil, Md.^Aff14, Ferdous, Most. Jannatul^Aff14, Arefin, Mohammad Shamsul^Aff15, Bhuiyan, Touhid^Aff14
المساهمون:	Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Arefin, Mohammad Shamsul, editor^Aff9, Kaiser, M. Shamim, editor^Aff10, Bhuiyan, Touhid, editor^Aff11, Dey, Nilanjan, editor^Aff12, Mahmud, Mufti, editor^Aff13
المصدر:	Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : BIM 2023. 867:441-453
قاعدة البيانات:	Springer Nature eBooks

الوصف
ردمك:	9789819989362 9789819989379
DOI:	10.1007/978-981-99-8937-9_30