Afsana Mou Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
unknown
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Biography and Research Information
OverviewAI-generated summary
Afsana Mou's research investigates the application of deep learning methodologies for various classification and detection tasks. Her recent publications include work on performance analysis of model-compression techniques for audio classification on edge devices, utilizing deep learning frameworks for classroom audio classification with Mel spectrograms, and developing intelligent traffic control systems using the YOLO algorithm. Mou has also explored the detection and reduction of cancer cells through a DNA polymerization sequence approach and employed active learning for classroom monitoring. Her work demonstrates a focus on applying advanced computational techniques to address challenges in diverse domains, from audio processing and traffic management to biomedical applications. She has 5 shared publications with collaborator Mariofanna Milanova.
Metrics
- h-index: 3
- Publications: 6
- Citations: 38
Selected Publications
- Performance Analysis of Deep Learning Model-Compression Techniques for Audio Classification on Edge Devices (2024) DOI
- Intelligent Traffic Control System Using YOLO Algorithm for Traffic Congested Cities (2023) DOI
- Performance Analysis of Deep Learning Model Compression Techniques for Audio Classification on Edge Devices (2023) DOI
- Active Learning Monitoring in Classroom Using Deep Learning Frameworks (2023) DOI
- Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach (2023) DOI
- Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms (2022) DOI
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