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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|
March 23, 2021
Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
Navchetan Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
March 3, 2025
Leveraging Mixture Alignment for Multi-Source Domain Adaptation
Aveen Dayal, S Shrusti, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
February 5, 2021
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
Naveen Paluru, Aveen Dayal, Havard Bjorke Jenssen, et al.
The Journal of the Acoustical Society of America
|
April 24, 2022
Lightweight deep convolutional neural network for background sound classification in speech signals
Aveen Dayal, Sreenivasa Reddy Yeduri, Balu Harshavardan Koduru, et al.
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Search research articles
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Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|
March 23, 2021
Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
Navchetan Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
March 3, 2025
Leveraging Mixture Alignment for Multi-Source Domain Adaptation
Aveen Dayal, S Shrusti, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
February 5, 2021
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
Naveen Paluru, Aveen Dayal, Havard Bjorke Jenssen, et al.
The Journal of the Acoustical Society of America
|
April 24, 2022
Lightweight deep convolutional neural network for background sound classification in speech signals
Aveen Dayal, Sreenivasa Reddy Yeduri, Balu Harshavardan Koduru, et al.
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of 1