Results 21 to 30 of about 89,843 (211)
Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network
IEEE Access, 2020 Skin segmentation plays an important role in human activity recognition, video surveillance, hand gesture identification, face detection, human tracking and robotic surgery.
Komal Minhas +7 more
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Scientific Reports, 2023 Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete ...
Kun Xu, Jichang Guo
doaj +1 more source
Government informatization model design based on emotional polarity analysis of network media in the context of deep learning [PDF]
PeerJ Computer ScienceIn response to the extensive and complex public comment data within the government system, this article presents an emotion analysis model for government information based on a dual attention multi-layer convolutional neural network (DA-MLCNN).
Jingyang Tang +3 more
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A Fully Connected Quantum Convolutional Neural Network for Classifying Ischemic Cardiopathy
IEEE Access, 2022 The prevalence of heart diseases is rising quickly throughout the world, which has an impact on both the world economy and public health. According to the recent statistical survey reports, the increasing mortality rate is due to high blood pressure ...
Ubaid Ullah +3 more
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A Lightweight Fully Convolutional Neural Network for SAR Automatic Target Recognition
Remote Sensing, 2021 Automatic target recognition (ATR) in synthetic aperture radar (SAR) images has been widely used in civilian and military fields. Traditional model-based methods and template matching methods do not work well under extended operating conditions (EOCs ...
Jimin Yu +3 more
doaj +1 more source
Improved Urdu-English Neural Machine Translation with a fully Convolutional Neural Network Encoder [PDF]
International Journal of Mathematical, Engineering and Management SciencesNeural machine translation (NMT) approaches driven by artificial intelligence (AI) has gained more and more attention in recent years, mainly due to their simplicity yet state-of-the-art performance.
Huma Israr +2 more
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IEEE Access, 2020 Unconventional reservoir classification suffers low accuracy because of the complex geophysical properties. With good performance and moderate cost, geophysical logging is considered to be of great potential as the compromise solution between seismic and
Kai Zhu +4 more
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Complexity, 2021 This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. The preprocessing of the image is proposed to enhance the data.
Bin Hu
doaj +1 more source
Sensor and Actuator Fault Diagnosis for Robot Joint Based on Deep CNN
Entropy, 2021 This paper proposes a data-driven method-based fault diagnosis method using the deep convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator faults of robot joints, such as gain error, offset error, and malfunction for both
Jinghui Pan, Lili Qu, Kaixiang Peng
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source