Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3587085
Abstract: Speech separation is crucial for robust speech processing in real-world acoustic environments. To enable deployment in resource-limited scenarios, a speech separation system must balance separation performance, computational efficiency, and inference speed. In time-domain approaches, recurrent… read more here.
Keywords: convolutional fusion; separation; speech separation; network ... See more keywords
MSCSCformer: Multiscale Convolutional Sparse Coding-Based Transformer for Pansharpening
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3391355
Abstract: With the increasing significance of high-quality, high-resolution multispectral images (HRMSs) in various domains, pansharpening, which fuses low-resolution multispectral images (LRMSs) with high-resolution panchromatic (PAN) images, has gained considerable attention. However, current deep-learning (DL) methods have… read more here.
Keywords: resolution; transformer; sparse coding; multiscale convolutional ... See more keywords
ITSC Fault Diagnosis for Five Phase Permanent Magnet Motors by Attention Mechanisms and Multiscale Convolutional Residual Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3329245
Abstract: This article proposes a multiscale convolutional residual neural network algorithm with attention mechanisms for early interturn short circuit (ITSC) fault diagnosis of five-phase permanent magnet synchronous motors (FPPMSMs). First, a multiscale convolutional neural network with… read more here.
Keywords: attention; attention mechanisms; network; convolutional residual ... See more keywords
Sentiment Analysis Based on Multiscale Convolutional Neural Network and Bidirectional Long Short-Term Memory
Sign Up to like & getrecommendations! Published in 2024 at "Membrane Technology"
DOI: 10.52710/mt.97
Abstract: With the prevalence of social media, Weibo has emerged as a crucial platform for individuals to express emotions and opinions, making accurate analysis of its sentiment content significantly meaningful. In order to more effectively capture… read more here.
Keywords: sentiment; analysis; model; weibo text ... See more keywords