A machine learning approach to Predict the Engineering Students at risk of dropout and factors behind: Bangladesh Perspective SA Ahmed, SI Khan 2019 10th international conference on computing, communication and …, 2019 | 26 | 2019 |
A machine learning approach to performance and dropout prediction in computer science: Bangladesh perspective SA Ahmed, MA Billah, SI Khan 2020 11th International Conference on Computing, Communication and …, 2020 | 13 | 2020 |
Social media user’s safety level detection through classification via clustering approach MKA Chy, SA Ahmed, AH Doha, AKM Masum, SI Khan 2019 International Conference on Computer, Communication, Chemical …, 2019 | 7 | 2019 |
Performance Evaluation of IT Professionals Based on Fuzzy-AHP and DEMATEL Models: Bangladesh Perspective MA Ashraf, AAM Tawhid, AKM Masum, FB Al Abid, SA Ahmed, SI Khan | 5 | 2019 |
Factors that contribute programming skill and CGPA as a CS graduate: Mining Educational Data MA BILLAH, SA AHMED, SI KHAN, B Chittagong Database Systems Journal BOARD, 33, 2019 | 4 | 2019 |
A framework to establish a Rule-based specialized dropout prevention scheme SA Ahmed, MA Billah, A Al Noman, AH Doha, SI Khan 2020 11th International Conference on Computing, Communication and …, 2020 | 1 | 2020 |
Evaluation of the antimicrobial property of Polyalthia longifolia var. pendula: isolation of a lactone as the active antibacterial agent from the ethanol extract of the stem. SF Shaheen Faizi, NR Mughal, RA Khan, SA Khan, AA Aqeel Ahmad, ... | | 2003 |