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Deep Convolutional Generative Adversarial Network-Based EMG Data Enhancement for Hand Motion Classification [PDF]
Frontiers in Bioengineering and Biotechnology, 2022 The acquisition of bio-signal from the human body requires a strict experimental setup and ethical approvements, which leads to limited data for the training of classifiers in the era of big data.
Zihan Chen +3 more
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Post-Processing of Cold Sprayed Ti-6Al-4V Coatings by Mechanical Peening
Metals, 2021 Cold spray is an emerging additive manufacturing technology used in the aerospace industry to repair damaged components made of expensive metal alloys.
Niroj Maharjan +5 more
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Judgment and Decision Making, 2023 Short-sighted decisions can have devastating consequences, and teaching people to make their decisions in a more far-sighted way is challenging. Previous research found that reflecting on one’s behavior can boost learning from success and failure.
Frederic Becker +4 more
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Image classification of intelligent farm based on convolutional neural network
Dianzi Jishu Yingyong, 2023 In order to solve the problem of perception and no decision-making in the agricultural modernization of Xinjiang Corps, an image classification method (TL-DA-SE-CNN) based on attention mechanism module (SENet) and convolutional neural network hybrid ...
Yang Yibin, Wang Junqiang, Chai Shihao
doaj +1 more source
Research on Underwater Echo Generation Method Based on Small Sample
水下无人系统学报, 2022 Under the tide led by artificial intelligence, the application of deep learning methods in underwater target recognition has gained increasing attention.
Chen-yu WANG +4 more
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DW-UNet: Loss Balance under Local-Patch for 3D Infection Segmentation from COVID-19 CT Images
Diagnostics, 2021 (1) Background: COVID-19 has been global epidemic. This work aims to extract 3D infection from COVID-19 CT images; (2) Methods: Firstly, COVID-19 CT images are processed with lung region extraction and data enhancement. In this strategy, gradient changes
Cheng Chen +4 more
doaj +1 more source
Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas
Remote Sensing, 2022 Vehicle detection on aerial remote sensing images under the complex background of urban areas has always received great attention in the field of remote sensing; however, the view of remote sensing images usually covers a large area, and the size of the ...
Shengjie Zhu +4 more
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Tomato Leaf Disease Recognition Based on Improved ACGAN Data Enhancement
Taiyuan Ligong Daxue xuebao, 2023 Purposes At present, tomato disease recognition based on convolutional neural network relies on a large amount of labeled data, and the lack of data samples is an important problem affecting the accuracy of tomato disease recognition.
Dongsheng LUO +3 more
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CCA-YOLO: An Improved Glove Defect Detection Algorithm Based on YOLOv5
Applied Sciences, 2023 Aiming to address the issue of low efficiency and a high false-detection rate in artificial defect detection in nitrile medical gloves, CCA-YOLO was proposed on the basis of YOLOv5 to realize the detection of tear and scratch defects.
Huilong Jin +5 more
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Data Augmentation For Label Enhancement
CoRR, 2023 Label distribution (LD) uses the description degree to describe instances, which provides more fine-grained supervision information when learning with label ambiguity. Nevertheless, LD is unavailable in many real-world applications. To obtain LD, label enhancement (LE) has emerged to recover LD from logical label.
Zhiqiang Kou +4 more
openaire +2 more sources