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Md. Alamgir Kabir
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2020 – today
- 2024
- [j8]Sandeepkumar Racherla, Prathyusha Sripathi, Nuruzzaman Faruqui, Md. Alamgir Kabir, Md Whaiduzzaman, Syed Aziz Shah:
Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning. IEEE Access 12: 63584-63597 (2024) - [c10]Md. Alamgir Kabir, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam:
Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement. ICMLT 2024: 21-29 - [c9]M. M. Manjurul Islam, Md. Alamgir Kabir, Alamin Sheikh, Muhammad Saiduzzaman, Abdelakram Hafid, Saad Abdullah:
Enhancing Speech Emotion Recognition Using Deep Convolutional Neural Networks. ICMLT 2024: 95-100 - 2023
- [j7]Nuruzzaman Faruqui, Md. Alamgir Kabir, Mohammad Abu Yousuf, Md Whaiduzzaman, Alistair Barros, Imran Mahmud:
Trackez: An IoT-Based 3D-Object Tracking From 2D Pixel Matrix Using Mez and FSL Algorithm. IEEE Access 11: 61453-61467 (2023) - [j6]Md. Alamgir Kabir, Atiq ur Rehman, M. M. Manjurul Islam, Nazakat Ali, Marcia Lourenco Baptista:
Cross-Version Software Defect Prediction Considering Concept Drift and Chronological Splitting. Symmetry 15(10): 1934 (2023) - [c8]Atiq ur Rehman, Md. Alamgir Kabir, Muhammad Ijaz, Hanadi Mohammed Al-Mohsin, Amine Bermak:
Salp Swarm Algorithm for Drift Compensation in E-nose. ICACI 2023: 1-6 - 2022
- [j5]Md. Alamgir Kabir, Shahina Begum, Mobyen Uddin Ahmed, Atiq ur Rehman:
CODE: A Moving-Window-Based Framework for Detecting Concept Drift in Software Defect Prediction. Symmetry 14(12): 2508 (2022) - [c7]Md. Alamgir Kabir, M. M. Manjurul Islam, S. M. Hasan Mahmud, Md. Fazla Elahe:
Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization. ICCA 2022: 59-66 - 2021
- [j4]Zhen Yang, Jacky Keung, Md. Alamgir Kabir, Xiao Yu, Yutian Tang, Miao Zhang, Shuo Feng:
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features. Appl. Soft Comput. 111: 107649 (2021) - [j3]Md. Alamgir Kabir, Jacky Keung, Burak Turhan, Kwabena Ebo Bennin:
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study. Appl. Soft Comput. 113(Part): 107870 (2021) - [j2]Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Kwabena Ebo Bennin, Md. Alamgir Kabir, Miao Zhang:
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. Inf. Softw. Technol. 129: 106432 (2021) - [j1]Miao Zhang, Jacky Wai Keung, Yan Xiao, Md. Alamgir Kabir:
Evaluating the effects of similar-class combination on class integration test order generation. Inf. Softw. Technol. 129: 106438 (2021) - 2020
- [c6]Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang:
A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction. COMPSAC 2020: 882-891
2010 – 2019
- 2019
- [c5]Miao Zhang, Jacky Keung, Yan Xiao, Md. Alamgir Kabir, Shuo Feng:
A Heuristic Approach to Break Cycles for the Class Integration Test Order Generation. COMPSAC (1) 2019: 47-52 - [c4]Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang:
Assessing the Significant Impact of Concept Drift in Software Defect Prediction. COMPSAC (1) 2019: 53-58 - 2015
- [c3]Delwar Alam, Md. Alamgir Kabir, Touhid Bhuiyan, Tanjila Farah:
A Case Study of SQL Injection Vulnerabilities Assessment of .bd Domain Web Applications. CyberSec 2015: 73-77 - [c2]Delwar Alam, Touhid Bhuiyan, Md. Alamgir Kabir, Tanjila Farah:
SQLi vulnerabilty in education sector websites of Bangladesh. InfoSec 2015: 152-157 - [c1]Tanjila Farah, Delwar Alam, Md. Alamgir Kabir, Touhid Bhuiyan:
SQLi penetration testing of financial Web applications: Investigation of Bangladesh region. WorldCIS 2015: 146-151
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last updated on 2024-10-23 21:24 CEST by the dblp team
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