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ORCIDNasrin Akhter
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2020 – today
- 2025
[j8]Amit Kumar Singh
, Rajendra Pamula, Nasrin Akhter, Sudheer Kumar Battula, Ranesh Naha, Abdullahi Chowdhury, Shahriar Kaisar:
Intelligent transportation system for automated medical services during pandemic. Future Gener. Comput. Syst. 163: 107515 (2025)- 2024
- [j7]Nasrin Akhter, Md. Redowan Mahmud, Jiong Jin, Jason But, Iftekhar Ahmad, Yong Xiang:
Configurable Harris Hawks Optimisation for Application Placement in Space-Air-Ground Integrated Networks. IEEE Trans. Netw. Serv. Manag. 21(2): 1724-1736 (2024) - 2023
- [c14]Shakib Mahmud Dipto, Md Tanzim Reza, Nasrin Akhter, Nadia Tasnim Mim, Md. Ashraful Alam:
PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network. AIIoT 2023: 1-6 - 2022
- [j6]Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu:
Improved Protein Decoy Selection via Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1670-1682 (2022) - 2021
- [c13]Laboni Akter, Nasrin Akhter:
Ovarian Cancer Classification from Pathophysiological Complications using Machine Learning Techniques. ICCCNT 2021: 1-6 - [c12]Mounita Ghosh, Nasrin Akhter:
B-Cell Epitope Prediction of Osteoclast-Stimulatory Transmembrane Protein Using an In Silico Based Approach. ICCCNT 2021: 1-7 - [c11]Mounita Ghosh, Nasrin Akhter:
An Immunoinformation Approach of B-Cell Epitope Prediction of Osteoclast-Associated Immunoglobulin-Like Receptor. ICCCNT 2021: 1-7 - [i6]Laboni Akter, Nasrin Akhter:
Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms. CoRR abs/2108.13387 (2021) - 2020
- [j5]Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu:
Decoy selection for protein structure prediction via extreme gradient boosting and ranking. BMC Bioinform. 21-S(1): 189 (2020) - [c10]Xiao Chen, Nasrin Akhter, Zhiye Guo, Tianqi Wu, Jie Hou, Amarda Shehu, Jianlin Cheng:
Deep Ranking in Template-free Protein Structure Prediction. BCB 2020: 31:1-31:10 - [c9]Jing Lei, Nasrin Akhter, Wanli Qiao, Amarda Shehu:
Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning. KDD 2020: 2505-2513 - [i5]Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu:
Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking. CoRR abs/2010.01441 (2020)
2010 – 2019
- 2019
- [j4]Kazi Lutful Kabir, Nasrin Akhter, Amarda Shehu:
From molecular energy landscapes to equilibrium dynamics via landscape analysis and markov state models. J. Bioinform. Comput. Biol. 17(6): 1940014:1-1940014:21 (2019) - [c8]Sivani Tadepalli, Nasrin Akhter, Daniel Barbará, Amarda Shehu:
Identifying Near-Native Protein Structures via Anomaly Detection. BIBM 2019: 30-35 - [c7]Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu:
Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. BIBM 2019: 70-73 - 2018
- [j3]Nasrin Akhter, Wanli Qiao, Amarda Shehu:
An Energy Landscape Treatment of Decoy Selection in Template-Free Protein Structure Prediction. Comput. 6(2): 39 (2018) - [c6]Kevin Molloy, Nasrin Akhter, Amarda Shehu:
Modeling Macromolecular Structures and Motions: Computational Methods for Sampling and Analysis of Energy Landscapes. BCB 2018: 554 - [c5]Liban Hassan, Zahra Rajabi, Nasrin Akhter, Amarda Shehu:
Community Detection for Decoy Selection in Template-free Protein Structure Prediction. BCB 2018: 621-627 - [c4]Nasrin Akhter, Jing Lei, Wanli Qiao, Amarda Shehu:
Reconstructing and Decomposing Protein Energy Landscapes to Organize Structure Spaces and Reveal Biologically-active States. BIBM 2018: 56-60 - [c3]Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu:
Improved Decoy Selection via Machine Learning and Ranking. ICCABS 2018: 1 - [c2]Nasrin Akhter, Liang Zhao, Desmond Arias, Huzefa Rangwala, Naren Ramakrishnan:
Forecasting Gang Homicides with Multi-level Multi-task Learning. SBP-BRiMS 2018: 28-37 - [i4]Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha:
Evaluation of Energy-efficient VM Consolidation for Cloud Based Data Center - Revisited. CoRR abs/1812.06255 (2018) - [i3]Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha:
Energy-aware virtual machine selection method for cloud data center resource allocation. CoRR abs/1812.08375 (2018) - 2017
- [j2]Ranesh Kumar Naha, Mohamed Othman, Nasrin Akhter:
Diverse approaches to cloud brokering: innovations and issues. Int. J. Commun. Networks Distributed Syst. 19(1): 99-120 (2017) - 2016
- [j1]Nasrin Akhter, Mohamed Othman:
Energy aware resource allocation of cloud data center: review and open issues. Clust. Comput. 19(3): 1163-1182 (2016) - 2014
- [c1]Nasrin Akhter, Mohamed Othman:
Energy efficient virtual machine provisioning in cloud data centers. ISTT 2014: 330-334 - 2011
- [i2]Lilatul Ferdouse, Nasrin Akhter, Tamanna Haque Nipa, Fariha Tasmin Jaigirdar:
Simulation and Performance Analysis of Adaptive Filtering Algorithms in Noise Cancellation. CoRR abs/1104.1962 (2011) - 2010
- [i1]Nasrin Akhter, Kaniz Fatema, Lilatul Ferdouse, Faria Khandaker:
Implementation of the Trigonometric LMS Algorithm using Original Cordic Rotation. CoRR abs/1008.3328 (2010)
Coauthor Index
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