An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image SA Suha, MN Islam Scientific Reports 12 (1), 17123, 2022 | 52 | 2022 |
A deep convolutional neural network-based approach for detecting burn severity from skin burn images SA Suha, TF Sanam Machine Learning with Applications 9, 100371, 2022 | 29 | 2022 |
Hospital patients’ length of stay prediction: A federated learning approach MM Rahman, D Kundu, SA Suha, UR Siddiqi, SK Dey Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 19 | 2022 |
Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique SA Suha, MN Islam Heliyon 9 (3), 2023 | 18 | 2023 |
Exploring the opportunities and challenges of adopting augmented reality in education in a developing country A Sharif, F Anzum, A Zavin, SA Suha, A Ibnat, MN Islam 2018 IEEE 18th International Conference on Advanced Learning Technologies …, 2018 | 16 | 2018 |
Exploring dominant factors for ensuring the sustainability of utilizing artificial intelligence in healthcare decision making: An emerging country context SA Suha, TF Sanam International Journal of Information Management Data Insights 3 (1), 100170, 2023 | 15 | 2023 |
A fuzzy model for predicting burn patients’ intravenous fluid resuscitation rate SA Suha, M Akhtaruzzaman, TF Sanam Healthcare Analytics 2, 100070, 2022 | 13 | 2022 |
A machine learning approach for predicting patient's length of hospital stay with random forest regression SA Suha, TF Sanam 2022 IEEE Region 10 Symposium (TENSYMP), 1-6, 2022 | 9 | 2022 |
Assessing usability of mobile applications developed for autistic users through heuristic and semiotic evaluation SA Suha, MN Islam, S Akter, MC Bhowmick, R Halder Proceedings of International Joint Conference on Advances in Computational …, 2022 | 8 | 2022 |
GiveMed: A webportal for medicine distribution among poverty-stricken people MN Islam, A Zavin, S Srabanti, CN Ferdous, SA Suha, L Afroze, ... 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 294-299, 2017 | 7 | 2017 |
Data-driven heart disease prediction by ensemble feature selection and machine learning techniques MR Islam, MD Hoda, MA Rashid, SA Suha, MTI Miya 2022 25th International Conference on Computer and Information Technology …, 2022 | 3 | 2022 |
Challenges and prospects of adopting industry 4.0 and assessing the role of intelligent robotics SA Suha, TF Sanam 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 524-529, 2022 | 3 | 2022 |
A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques SA Suha, MN Islam Heliyon, 2023 | 2 | 2023 |
National Policies & their Significance in Bangladesh for the Adoption of Industry 4.0 SA Suha, TF Sanam, MI Jahan 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 676-681, 2022 | 1 | 2022 |
Development of an Intelligent System for Brain Stroke Prediction using Ensemble Feature Selection and Machine Learning Technique FU Ahmed, FH Mahi, SA Suha, MN Islam 2023 26th International Conference on Computer and Information Technology …, 2023 | | 2023 |
A Comparative Analysis of Card Sorting and IDM Approaches in e-Tourism Website Design R Rahman, MN Islam, FI Aziz, MZ Hossain, S Afroze, SA Suha 2023 26th International Conference on Computer and Information Technology …, 2023 | | 2023 |
Design and Development of an Ensemble Feature Selection and Machine Learning Based Cardiac Disease Prediction System SS Aishee, SK Chowdhury, F Mahmud, SA Suha 2023 26th International Conference on Computer and Information Technology …, 2023 | | 2023 |
Enhancing PCOS Prediction: A System based on Ensemble Machine Learning Techniques M Khan, F Nila, N Tabasaum, SA Suha, MN Islam 2023 IEEE 9th International Women in Engineering (WIE) Conference on …, 2023 | | 2023 |
A CNN Based Sign Language Learning System For Deaf & Mute User M Hasnin, IA Afrose, SR Himel, SA Suha, MN Islam 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), 237-242, 2023 | | 2023 |
A Comparative Evaluation for Forecasting Diabetic Patients' Hospital Readmission within 30 Days through Machine Learning Techniques TS Sheila, NJ Nishat, AH Tanjila, J Nuri, TF Sanam, SA Suha 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), 847-852, 2023 | | 2023 |