Implementation of the Trigonometric LMS Algorithm using Original Cordic Rotation - Nasrin Akhter; Kaniz Fatema; Lilatul Ferdouse; Faria Khandaker (CoRR, 2010)

Simulation and Performance Analysis of Adaptive Filtering Algorithms in Noise Cancellation - Lilatul Ferdouse; Nasrin Akhter; Tamanna Haque Nipa; Fariha Tasmin Jaigirdar (CoRR, 2011)

Energy efficient virtual machine provisioning in cloud data centers. - Nasrin Akhter; Mohamed Othman (ISTT, 2014)

Energy aware resource allocation of cloud data center: review and open issues. - Nasrin Akhter; Mohamed Othman (Clust. Comput., 2016)

Diverse approaches to cloud brokering: innovations and issues. - Ranesh Kumar Naha; Mohamed Othman; Nasrin Akhter (Int. J. Commun. Networks Distributed Syst., 2017)

Community Detection for Decoy Selection in Template-free Protein Structure Prediction. - Liban Hassan; Zahra Rajabi; Nasrin Akhter; Amarda Shehu (BCB, 2018)

Modeling Macromolecular Structures and Motions: Computational Methods for Sampling and Analysis of Energy Landscapes. - Kevin Molloy; Nasrin Akhter; Amarda Shehu (BCB, 2018)

Reconstructing and Decomposing Protein Energy Landscapes to Organize Structure Spaces and Reveal Biologically-active States. - Nasrin Akhter; Jing Lei; Wanli Qiao; Amarda Shehu (BIBM, 2018)

Improved Decoy Selection via Machine Learning and Ranking. - Nasrin Akhter; Gopinath Chennupati; Hristo N. Djidjev; Amarda Shehu (ICCABS, 2018)

Forecasting Gang Homicides with Multi-level Multi-task Learning. - Nasrin Akhter; Liang Zhao 002; Desmond Arias; Huzefa Rangwala; Naren Ramakrishnan (SBP-BRiMS, 2018)

An Energy Landscape Treatment of Decoy Selection in Template-Free Protein Structure Prediction. - Nasrin Akhter; Wanli Qiao; Amarda Shehu (Comput., 2018)

Evaluation of Energy-efficient VM Consolidation for Cloud Based Data Center - Revisited. - Nasrin Akhter; Mohamed Othman; Ranesh Kumar Naha (CoRR, 2018)

Energy-aware virtual machine selection method for cloud data center resource allocation. - Nasrin Akhter; Mohamed Othman; Ranesh Kumar Naha (CoRR, 2018)

Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. - Nasrin Akhter; Raviteja Vangara; Gopinath Chennupati; Boian S. Alexandrov; Hristo N. Djidjev; Amarda Shehu (BIBM, 2019)

Identifying Near-Native Protein Structures via Anomaly Detection. - Sivani Tadepalli; Nasrin Akhter; Daniel Barbará; Amarda Shehu (BIBM, 2019)

From molecular energy landscapes to equilibrium dynamics via landscape analysis and markov state models. - Kazi Lutful Kabir; Nasrin Akhter; Amarda Shehu (J. Bioinform. Comput. Biol., 2019)

Deep Ranking in Template-free Protein Structure Prediction. - Xiao Chen; Nasrin Akhter; Zhiye Guo; Tianqi Wu; Jie Hou 001; Amarda Shehu; Jianlin Cheng (BCB, 2020)

Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning. - Jing Lei; Nasrin Akhter; Wanli Qiao; Amarda Shehu (KDD, 2020)

Decoy selection for protein structure prediction via extreme gradient boosting and ranking. - Nasrin Akhter; Gopinath Chennupati; Hristo N. Djidjev; Amarda Shehu (BMC Bioinform., 2020)

Ovarian Cancer Classification from Pathophysiological Complications using Machine Learning Techniques. - Laboni Akter; Nasrin Akhter (ICCCNT, 2021)

B-Cell Epitope Prediction of Osteoclast-Stimulatory Transmembrane Protein Using an In Silico Based Approach. - Mounita Ghosh; Nasrin Akhter (ICCCNT, 2021)

An Immunoinformation Approach of B-Cell Epitope Prediction of Osteoclast-Associated Immunoglobulin-Like Receptor. - Mounita Ghosh; Nasrin Akhter (ICCCNT, 2021)

Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms. - Laboni Akter; Nasrin Akhter (CoRR, 2021)

Improved Protein Decoy Selection via Non-Negative Matrix Factorization. - Nasrin Akhter; Kazi Lutful Kabir; Gopinath Chennupati; Raviteja Vangara; Boian S. Alexandrov; Hristo N. Djidjev; Amarda Shehu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network. - Shakib Mahmud Dipto; Md Tanzim Reza; Nasrin Akhter; Nadia Tasnim Mim; Md. Ashraful Alam (AIIoT, 2023)

Configurable Harris Hawks Optimisation for Application Placement in Space-Air-Ground Integrated Networks. - Nasrin Akhter; Md. Redowan Mahmud; Jiong Jin; Jason But; Iftekhar Ahmad; Yong Xiang 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Intelligent transportation system for automated medical services during pandemic. - Amit Kumar Singh; Rajendra Pamula; Nasrin Akhter; Sudheer Kumar Battula; Ranesh Naha; Abdullahi Chowdhury; Shahriar Kaisar (Future Gener. Comput. Syst., 2025)