| Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach J Rahman, KS Ahmed, NI Khan, K Islam, S Mangalathu Engineering Structures 233, 111743, 2021 | 182 | 2021 |
| Vgg-scnet: A vgg net-based deep learning framework for brain tumor detection on mri images MS Majib, MM Rahman, TMS Sazzad, NI Khan, SK Dey IEEE Access 9, 116942-116952, 2021 | 110 | 2021 |
| Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda MN Islam, SN Mustafina, T Mahmud, NI Khan BMC pregnancy and childbirth 22 (1), 348, 2022 | 40 | 2022 |
| Prediction of cesarean childbirth using ensemble machine learning methods NI Khan, T Mahmud, MN Islam, SN Mustafina Proceedings of the 22nd international conference on information integration …, 2020 | 34 | 2020 |
| Exploring machine learning algorithms to find the best features for predicting modes of childbirth MN Islam, T Mahmud, NI Khan, SN Mustafina, AKMN Islam IEEE Access 9, 1680-1692, 2020 | 29 | 2020 |
| Predicting bearing capacity of double shear bolted connections using machine learning SZ Sarothi, KS Ahmed, NI Khan, A Ahmed, ML Nehdi Engineering Structures 251, 113497, 2022 | 27 | 2022 |
| Uvc-purge: A novel cost-effective disinfection robot for combating covid-19 pandemic A Zaman, MS Majib, SA Tanjim, SMA Siddique, S Islam, MS Aadeeb, ... Ieee Access 10, 37613-37634, 2022 | 22 | 2022 |
| Exploring the machine learning algorithms to find the best features for predicting the breast cancer and its recurrence AI Aishwarja, NJ Eva, S Mushtary, Z Tasnim, NI Khan, MN Islam Intelligent Computing and Optimization: Proceedings of the 3rd International …, 2021 | 17 | 2021 |
| Machine learning-based failure mode identification of double shear bolted connections in structural steel SZ Sarothi, KS Ahmed, NI Khan, A Ahmed, ML Nehdi Engineering Failure Analysis 139, 106471, 2022 | 15 | 2022 |
| COVID‐19 and black fungus: Analysis of the public perceptions through machine learning N Imtiaz Khan, T Mahmud, M Nazrul Islam Engineering Reports 4 (4), e12475, 2022 | 15 | 2022 |
| Towards developing a voice-over-guided system for visually impaired people to learn writing the alphabets R Jahangir, M Wasif-Ul-Islam, NS Mohim, A Ashraf, NI Khan, MN Islam 2022 25th International Conference on Computer and Information Technology …, 2022 | 10 | 2022 |
| Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective MM Rahman, NI Khan, IH Sarker, M Ahmed, MN Islam Engineering Reports 5 (3), e12572, 2023 | 8 | 2023 |
| An efficient transfer learning model for predicting forged (handwritten) signature MR Sheikh, TH Masud, NI Khan, MN Islam 2021 International Conference on Computer, Communication, Chemical …, 2021 | 7 | 2021 |
| Sentiment analysis of bangladesh-specific covid-19 tweets using deep neural network MN Islam, NI Khan, A Roy, MDM Rahman, SH Mukta, AKMN Islam 2021 62nd International Scientific Conference on Information Technology and …, 2021 | 7 | 2021 |
| Evaluation of user’s emotional experience through neurological and physiological measures in playing serious games T Zaki, NI Khan, MN Islam International Conference on Intelligent Systems Design and Applications …, 2020 | 6 | 2020 |
| Developing a machine learning based support system for mitigating the suppression against women and children MR Reza, FMB Mannan, D Barua, S Islam, NI Khan, SR Mahmud 2021 5th International Conference on Electrical Engineering and Information …, 2021 | 5 | 2021 |
| Exploring design attributes and development of an acoustic vr game to improve ethical values of visually impaired people F Habib, T Fatema, M Khan, NI Khan, MN Islam 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 1-8, 2022 | 4 | 2022 |
| A Framework to Detect and Prevent Cyberbullying from Social Media by Exploring Machine Learning Algorithms S Mitra, T Tasnim, MAR Islam, NI Khan, MS Majib 2021 International Conference on Computer, Communication, Chemical …, 2021 | 4 | 2021 |
| Towards developing an automated attendance management system using fingerprint sensor NI Khan, SN Mustafina, FF Jhumu, AHM Zobyer, MH Mahin, MAI Tarek, ... 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE …, 2020 | 4 | 2020 |
| Prediction of android malicious software using boosting algorithms DD Nath, NI Khan, J Akhter, ASMM Rahaman Emerging Technologies in Computing: 4th EAI/IAER International Conference …, 2021 | 2 | 2021 |
Tahasin MahmudSamsung R&D Institute BangladeshVerified email at samsung.com
