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Tasadduq Imam
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2020 – today
- 2023
- [j10]Abdul Md. Mazid
, Tasadduq Imam
Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning. Eng. Appl. Artif. Intell. 124: 106546 (2023) - [j9]Corneel Vandelanotte, Stewart Trost, Danya Hodgetts, Tasadduq Imam
Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. J. Biomed. Informatics 144: 104435 (2023) - 2022
- [j8]Md. Mamunur Rashid, Joarder Kamruzzaman, Tasadduq Imam
A tree-based stacking ensemble technique with feature selection for network intrusion detection. Appl. Intell. 52(9): 9768-9781 (2022) - [j7]Md. Mamunur Rashid
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications. Comput. Secur. 120: 102783 (2022) - 2021
- [j6]Mahbub E. Khoda
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting. Appl. Soft Comput. 112: 107783 (2021) - [j5]Shahadat Uddin
Research interdisciplinarity: STEM versus non-STEM. Scientometrics 126(1): 603-618 (2021) - [c8]Shahadat Uddin, Tasadduq Imam
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. ACSW 2021: 16:1-16:8 - 2020
- [c7]Mahbub E. Khoda, Joarder Kamruzzaman
Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning. WiMob 2020: 1-6
2010 – 2019
- 2019
- [c6]Mahbub E. Khoda
Mobile Malware Detection: An Analysis of Deep Learning Model. ICIT 2019: 1161-1166 - [c5]Mahbub E. Khoda
Selective Adversarial Learning for Mobile Malware. TrustCom/BigDataSE 2019: 272-279 - 2018
- [c4]Mahbub E. Khoda
Mobile Malware Detection - An Analysis of the Impact of Feature Categories. ICONIP (4) 2018: 486-498 - 2016
- [c3]Jesmin Nahar, A. B. M. Shawkat Ali, Tasadduq Imam
Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach. CIT 2016: 89-95 - 2013
- [j4]Jesmin Nahar, Tasadduq Imam
Computational intelligence for heart disease diagnosis: A medical knowledge driven approach. Expert Syst. Appl. 40(1): 96-104 (2013) - [j3]Jesmin Nahar, Tasadduq Imam
Association rule mining to detect factors which contribute to heart disease in males and females. Expert Syst. Appl. 40(4): 1086-1093 (2013) - [p1]Jesmin Nahar, Tasadduq Imam, Kevin S. Tickle, Debora Garcia-Alonso:
Issues of Data Governance Associated with Data Mining in Medical Research: Experiences from an Empirical Study. Health Information Governance in a Digital Environment 2013: 332-361 - 2012
- [j2]Jesmin Nahar, Tasadduq Imam
Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer. Expert Syst. Appl. 39(16): 12371-12377 (2012) - [j1]Tasadduq Imam
Linear Relationship between the aud/USD Exchange Rate and the Respective Stock Market Indices: a Computational Finance Perspective. Intell. Syst. Account. Finance Manag. 19(1): 19-42 (2012) - 2010
- [c2]Tasadduq Imam, Kevin Tickle:
Class Information Adapted Kernel for Support Vector Machine. ICONIP (2) 2010: 116-123
2000 – 2009
- 2006
- [c1]Tasadduq Imam, Kai Ming Ting, Joarder Kamruzzaman:
z-SVM: An SVM for Improved Classification of Imbalanced Data. Australian Conference on Artificial Intelligence 2006: 264-273
Coauthor Index
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