Nafisa Anjum
Orcid: 0009-0001-4176-9014
According to our database1,
Nafisa Anjum
authored at least 15 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
ScreenSafeFuture: A parent-empathetic and pragmatic mhealth application for toddlers' brain development addressing screen-addiction challenges.
SoftwareX, 2025
2024
TeamWellX: Leveraging genetic algorithms to optimize team health and well-being toward sustainable game development and strategy.
SoftwareX, February, 2024
Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies.
CoRR, 2024
Design and Optimization of a Metamaterial Absorber for Solar Energy Harvesting in the THz Frequency Range.
CoRR, 2024
Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants.
CoRR, 2024
2023
A Temporal Transformer-Based Fusion Framework for Morphological Arrhythmia Classification.
Comput., March, 2023
Protecting the Decentralized Future: An Exploration of Common Blockchain Attacks and their Countermeasures.
CoRR, 2023
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
CoRR, 2023
Confronting Toddlers' Brain Development Challenges Due to Screen-Addiction: Unpacking Perspectives from Stakeholders.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023
Uncovering Software Supply Chains Vulnerability: A Review of Attack Vectors, Stakeholders, and Regulatory Frameworks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
2022
Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Interference System.
CoRR, 2022
CoRR, 2022
Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Big Data, 2022