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Md Mahbubur Rahman
Md Mahbubur Rahman
Research Assistant, ISU
Bestätigte E-Mail-Adresse bei iastate.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
An empirical study of deep learning models for vulnerability detection
B Steenhoek, MM Rahman, R Jiles, W Le
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
100*2023
Recognition of mango leaf disease using convolutional neural network models: a transfer learning approach
A Rajbongshi, T Khan, M Pramanik, SM Tanvir, NRC Siddiquee
Indonesian Journal of Electrical Engineering and Computer Science 23 (3 …, 2021
442021
Bangla Documents Classification using Transformer Based Deep Learning Models
MM Rahman, MA Pramanik, R Sadik, M Roy, P Chakraborty
422020
Recognition of local birds of Bangladesh using MobileNet and Inception-v3
MM Rahman, AA Biswas, A Rajbongshi, A Majumder
International Journal of Advanced Computer Science and Applications 11 (8), 2020
342020
Rose diseases recognition using MobileNet
A Rajbongshi, T Sarker, MM Ahamad, MM Rahman
2020 4th International Symposium on Multidisciplinary Studies and Innovative …, 2020
312020
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection
B Steenhoek, MM Rahman, MK Roy, MS Alam, ET Barr, W Le
arXiv preprint arXiv:2403.17218, 2024
262024
Recognition of local birds using different cnn architectures with transfer learning
AA Biswas, MM Rahman, A Rajbongshi, A Majumder
2021 International Conference on Computer Communication and Informatics …, 2021
222021
Bangla document classification using character level deep learning
MM Rahman, R Sadik, AA Biswas
2020 4th International Symposium on Multidisciplinary Studies and Innovative …, 2020
212020
Local freshwater fish recognition using different cnn architectures with transfer learning
A Majumder, A Rajbongshi, MM Rahman, AA Biswas
Int. J. Adv. Sci. Eng. Inf. Technol 11 (3), 1078-1083, 2021
172021
Bangla Optical Character Recognition and Text-to-Speech Conversion using Raspberry Pi
A Rajbongshi, MI Islam, M Mahbubur, AM Rahman, ME Islam, AA Biswas
162020
Lemon leaf disease classification using CNN-based architectures with transfer learning
A Pramanik, AZ Khan, AA Biswas, M Rahman
2021 12th International Conference on Computing Communication and Networking …, 2021
152021
Towards Causal Deep Learning for Vulnerability Detection
MM Rahman, I Ceka, C Mao, S Chakraborty, B Ray, W Le
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
13*2024
Sentiment analysis on user reaction for online food delivery services using bert model
J Biswas, MM Rahman, AA Biswas, MAZ Khan, A Rajbongshi, HA Niloy
2021 7th International Conference on Advanced Computing and Communication …, 2021
122021
Stock market prediction: a time series analysis
A Majumder, MM Rahman, AA Biswas, MS Zulfiker, S Basak
Smart Systems: Innovations in Computing: Proceedings of SSIC 2021, 389-401, 2022
112022
Modeling traffic congestion in developing countries using google maps data
MA Pramanik, MM Rahman, ASMI Anam, AA Ali, MA Amin, ...
Advances in Information and Communication: Proceedings of the 2021 Future of …, 2021
112021
Bangla news classification using graph convolutional networks
MM Rahman, MAZ Khan, AA Biswas
2021 International Conference on Computer Communication and Informatics …, 2021
92021
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection
B Steenhoek, MM Rahman, S Sharmin, W Le
arXiv preprint arXiv:2311.04109, 2023
32023
Recognize Meaningful Words and Idioms from the Images Based on OCR Tesseract Engine and NLTK
P Chakraborty, M Rakib Mia, HK Sumon, A Sarker, A Imtiaz, ...
Pattern Recognition and Data Analysis with Applications, 297-310, 2022
32022
Efficient Advertisement Slogan Detection and Classification Using a Hierarchical BERT and BiLSTM-BERT Ensemble Model
MAZ Khan, SM Parvez, MM Rahman, MM Anwar
Intelligent Computing and Optimization: Proceedings of the 3rd International …, 2021
32021
Emotion Detection From Social Media Posts
MM Rahman, S Shova
arXiv preprint arXiv:2302.05610, 2023
22023
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