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Farida Siddiqi Prity
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2020 – today
- 2024
- [j7]Farida Siddiqi Prity, K. M. Aslam Uddin, Nishu Nath:
Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects. Iran J. Comput. Sci. 7(2): 337-358 (2024) - [j6]Farida Siddiqi Prity, Md. Maruf Hossain:
A comprehensive examination of load balancing algorithms in cloud environments: a systematic literature review, comparative analysis, taxonomy, open challenges, and future trends. Iran J. Comput. Sci. 7(3): 663-698 (2024) - 2023
- [j5]Farida Siddiqi Prity, Md. Hasan Gazi, K. M. Aslam Uddin:
A review of task scheduling in cloud computing based on nature-inspired optimization algorithm. Clust. Comput. 26(5): 3037-3067 (2023) - [j4]K. M. Aslam Uddin, Farida Siddiqi Prity, Maisha Tasnim, Sumiya Nur Jannat, Mohammad Omar Faruk, Jahirul Islam, Saydul Akbar Murad, Apurba Adhikary, Anupam Kumar Bairagi:
Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection. Hum. Centric Intell. Syst. 3(4): 441-460 (2023) - [j3]Md. Ashikur Rahman Khan, Faria Afrin, Farida Siddiqi Prity, Ishtiaq Ahammad, Sharmin Fatema, Ratul Prosad, Mohammad Kamrul Hasan, Main Uddin, Zayed Us Salehin:
An effective approach for early liver disease prediction and sensitivity analysis. Iran J. Comput. Sci. 6(4): 277-295 (2023) - [j2]Md. Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, Farida Siddiqi Prity, Sharmin Fatema, Sabbir Ejaz, Muhammad Adnan Khan:
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison. Iran J. Comput. Sci. 6(4): 397-417 (2023) - [j1]Farida Siddiqi Prity, Nishu Nath, Antara Nath, K. M. Aslam Uddin:
Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 28 (2023)
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last updated on 2024-09-26 01:54 CEST by the dblp team
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