Efficient Wideband Beamforming with Null Broadening Using Fusion Convolutional Block
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2025.3572575
Abstract: To meet the development requirements of bandwidth and efficiency in future 6G wireless communications, an efficient wideband beamforming (WB) algorithm is proposed based on fusion convolutional block neural network (FCBNN) in this paper, named as… read more here.
Keywords: efficient wideband; fusion convolutional; null broadening; convolutional block ... See more keywords
Identification and Suppression of Multicomponent Noise in Audio Magnetotelluric Data Based on Convolutional Block Attention Module
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3361942
Abstract: Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However, the weak energy of AMT signals makes them susceptible to being overwhelmed by noise, leading to erroneous geophysical interpretations. In recent years, deep learning… read more here.
Keywords: deep learning; amt signals; block attention; convolutional block ... See more keywords
Enhancing Intensification Forecast of Tropical Cyclones in the North Indian Ocean Basin Using Fused Vision Transformer and Convolutional Block Attention With ResNet Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3621322
Abstract: The accurate forecasting of tropical cyclone (TC) intensity is challenging because of the large uncertainties in the physical processes and lack of observations over the north Indian Ocean (NIO) basins, that is, the Bay of… read more here.
Keywords: north indian; vision; convolutional block; indian ocean ... See more keywords
Automated detection of pinworm parasite eggs using YOLO convolutional block attention module for enhanced microscopic image analysis
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2025.1559987
Abstract: Introduction Parasitic infections remain a major public health concern, particularly in healthcare and community settings where rapid and accurate diagnosis is essential for effective treatment and prevention. Traditional parasite detection methods rely on manual microscopic… read more here.
Keywords: detection; block attention; attention module; attention ... See more keywords
Classification of arteriovenous fistula sounds using a convolutional block attention module and long short-term memory neural network
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2024.1397317
Abstract: The assessment of vascular accessibility in patients undergoing hemodialysis is predominantly reliant on manual inspection, a method that is associated with several limitations. In this study, we propose an alternative approach by recording the acoustic… read more here.
Keywords: block attention; attention module; long short; convolutional block ... See more keywords
Few-Shot Fault Diagnosis of Rolling Bearings Using Generative Adversarial Networks and Convolutional Block Attention Mechanisms
Sign Up to like & getrecommendations! Published in 2025 at "Lubricants"
DOI: 10.3390/lubricants13120515
Abstract: In modern industrial systems, diagnosing faults in the rolling bearings of high-speed rotating machinery remains a considerable challenge due to the scarcity of reliable fault samples and the inherent complexity of the diagnostic task. To… read more here.
Keywords: block attention; attention; convolutional block; rolling bearings ... See more keywords