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Ahsan Habib 0003
Person information
- affiliation: Deakin University, Burwood, VIC, Australia
- affiliation (2015 - 2018): Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
- affiliation (2014 - 2015): University of Liberal Arts Bangladesh, Dhaka, Bangladesh
- affiliation (2012 - 2013): G5-Technologies Ltd., Dhaka, Bangladesh
- affiliation (2010 - 2012): Mobile-Technologies Ltd., Bangkok, Thailand
- affiliation (2006 - 2010): iSoftel (Thailand) Co. Ltd., Bangkok, Thailand
- affiliation (2004 - 2005): Asian University of Bangladesh, Dhaka, Bangladesh
Other persons with the same name
- Ahsan Habib — disambiguation page
- Ahsan Habib 0001 — Siemens Technology to Business Center Berkeley, CA, USA (and 2 more)
- Ahsan Habib 0002
— Shahjalal University of Science and Technology, Sylhet, Bangladesh (and 3 more)
- Ahsan Habib 0004 — University of Texas at Arlington, TX, USA
- Ahsan Habib 0005
— Eastern University, Dhaka, Bangladesh
- Md. Ahsan Habib — disambiguation page
- Md. Ahsan Habib 0001 — University of Dhaka, Department of Applied Physics, Electronics and Communication Engineering, Bangladesh
- Md. Ahsan Habib 0002 — Purdue University, West Lafayette, IN, USA
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Journal Articles
- 2024
- [j9]Shantanu Pal
, Saifur Rahman
, Maedeh Beheshti, Ahsan Habib
, Zahra Jadidi
, Chandan K. Karmakar
:
The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis. IEEE Access 12: 66478-66494 (2024) - [j8]Ahsan Habib
, Shruthi Narayanan Vaniya
, Ahsan Khandoker
, Chandan K. Karmakar
:
MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal. IEEE J. Biomed. Health Informatics 28(7): 3798-3809 (2024) - 2023
- [j7]Nahid Sultan
, Mahmudul Hasan
, Md Ferdous Wahid
, Hasi Saha
, Ahsan Habib
:
Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability. IEEE Access 11: 84487-84499 (2023) - [j6]Ahsan Habib
, Mohammod Abdul Motin
, Thomas Penzel
, Marimuthu Palaniswami
, John Yearwood, Chandan K. Karmakar
:
Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages. IEEE Trans. Biomed. Eng. 70(6): 1717-1728 (2023) - [j5]Ahsan Habib
, Chandan K. Karmakar
, John Yearwood:
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution. IEEE J. Biomed. Health Informatics 27(4): 1758-1769 (2023) - [j4]Ahsan Habib
, Chandan K. Karmakar
, John Yearwood:
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network. IEEE J. Biomed. Health Informatics 27(8): 3748-3759 (2023) - 2020
- [j3]Iynkaran Natgunanathan
, Chandan K. Karmakar
, Sutharshan Rajasegarar
, Tianrui Zong
, Ahsan Habib
:
Robust Patient Information Embedding and Retrieval Mechanism for ECG Signals. IEEE Access 8: 181233-181245 (2020) - 2019
- [j2]Ahsan Habib
, Chandan K. Karmakar
, John Yearwood:
Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex. IEEE Access 7: 93275-93285 (2019) - 2008
- [j1]Md. Ahsan Habib
, Krisna Prasad Pawdel, Mohammad Rajiullah, Prashanta Man Shrestha:
Constraint-based Trend Template for Intrusion Detection. J. Softw. 3(6): 21-28 (2008)
Conference and Workshop Papers
- 2023
- [c4]Saifur Rahman, Ahsan Habib
, Chandan K. Karmakar, John Yearwood:
Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection framework. EMBC 2023: 1-4 - 2015
- [c3]Rabiul Islam Jony, Nabeel Mohammed
, Ahsan Habib
, Sifat Momen
, Rakibul Islam Rony:
An Evaluation of Data Processing Solutions Considering Preprocessing and "Special" Features. SITIS 2015: 224-231 - [c2]Rabiul Islam Jony, Ahsan Habib
, Nabeel Mohammed
, Rakibul Islam Rony:
Big Data Use Case Domains for Telecom Operators. SmartCity 2015: 850-855 - 2007
- [c1]Md. Ahsan Habib
, Phan Minh Dung:
Effective event description using trend template language and efficient intrusion detection. SMC 2007: 326-331
Informal and Other Publications
- 2023
- [i3]Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Optimising complexity of CNN models for resource constrained devices: QRS detection case study. CoRR abs/2301.09232 (2023) - 2021
- [i2]Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Learning post-processing for QRS detection using Recurrent Neural Network. CoRR abs/2110.04130 (2021) - 2020
- [i1]Ahsan Habib
, Chandan K. Karmakar, John Yearwood:
Choosing a sampling frequency for ECG QRS detection using convolutional networks. CoRR abs/2007.02052 (2020)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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last updated on 2024-08-05 21:15 CEST by the dblp team
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