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ML-Based Prediction of Ideal Discipline for UG Students: A ..:
, In:
Technical and Vocational Education and Training: Issues, Concerns and Prospects; Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity
,
Khan, Mohammad Aftab Alam
;
Aljebali, Mohammad
;
Youldash, Mustafa
... - p. 283-293 , 2024
Link:
https://doi.org/10.1007/978-981-99-6909-8_25
RT T1
Technical and Vocational Education and Training: Issues, Concerns and Prospects; Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity
: T1
ML-Based Prediction of Ideal Discipline for UG Students: A Sustainable Educational Perspective
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-99-6909-8_25&Exemplar=1&LAN=DE A1 Khan, Mohammad Aftab Alam A1 Aljebali, Mohammad A1 Youldash, Mustafa A1 Atta-ur-Rahman A1 Aljallal, Abdulrahman A1 Farooqui, Mehwash A1 Ziad, Hussam A1 Jabali, Ahmad PB Springer Nature Singapore YR 2024 SP 283 OP 293 LK http://dx.doi.org/https://doi.org/10.1007/978-981-99-6909-8_25 DO https://doi.org/10.1007/978-981-99-6909-8_25 SF ELIB - SuUB Bremen
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