Afsana Mou
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Biography and Research Information
OverviewAI-generated summary
Afsana Mou's research focuses on the application of deep learning techniques to address challenges in various domains. Her work includes developing and analyzing deep learning models for audio classification on edge devices, contributing to the efficiency and performance of these systems. Mou has also investigated intelligent traffic control systems utilizing the YOLO algorithm, aiming to improve traffic management in congested urban environments. Additionally, her research extends to educational technology, with studies on active learning monitoring in classrooms using deep learning frameworks and analyzing classroom audio data with deep learning approaches. She has co-authored six publications and has a citation count of 41, with an h-index of 3. Mou has a collaborative network that includes Mariofanna Milanova from the University of Arkansas at Little Rock, with whom she shares five publications.
Metrics
- h-index: 3
- Publications: 6
- Citations: 46
Selected Publications
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Performance Analysis of Deep Learning Model-Compression Techniques for Audio Classification on Edge Devices (2024)
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Intelligent Traffic Control System Using YOLO Algorithm for Traffic Congested Cities (2023)
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Performance Analysis of Deep Learning Model Compression Techniques for Audio Classification on Edge Devices (2023)
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Active Learning Monitoring in Classroom Using Deep Learning Frameworks (2023)
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Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach (2023)
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Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms (2022)
Collaboration Network
Top Collaborators
- Performance Analysis of Deep Learning Model-Compression Techniques for Audio Classification on Edge Devices
- Intelligent Traffic Control System Using YOLO Algorithm for Traffic Congested Cities
- Active Learning Monitoring in Classroom Using Deep Learning Frameworks
- Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms
- Performance Analysis of Deep Learning Model Compression Techniques for Audio Classification on Edge Devices
- Active Learning Monitoring in Classroom Using Deep Learning Frameworks
- Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms
- Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach
- Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach
- Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach
- Detection, reduction and filtration of cancer cells through a new DNA polymerization sequence approach
- Intelligent Traffic Control System Using YOLO Algorithm for Traffic Congested Cities
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