Results 31 to 40 of about 368,302 (254)
Improving Non-Negative Positive-Unlabeled Learning for News Headline Classification
IEEE Access, 2023 With the development of Internet technology, network platforms have gradually become a tool for people to obtain hot news. How to filter out the current hot news from a large number of news collections and push them to users has important application ...
Zhanlin Ji +5 more
doaj +1 more source
Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
Remote Sensing, 2019 Independent of daylight and weather conditions, synthetic aperture radar (SAR) imagery is widely applied to detect ships in marine surveillance. The shapes of ships are multi-scale in SAR imagery due to multi-resolution imaging modes and their various ...
Yuanyuan Wang +4 more
doaj +1 more source
Hydraulic Rock Drill Fault Classification Using X−Vectors
Mathematics, 2023 Hydraulic rock drills are widely used in drilling, mining, construction, and engineering applications. They typically operate in harsh environments with high humidity, large temperature differences, and vibration.
Huixuan Ling +4 more
doaj +1 more source
Familial focal loss of cross striations
Journal of Neurology, 1977 Two patients, a brother and sister, both suffering from congenital generalized muscle weakness with a progressive course are reported. Muscle biopsy revealed areas with loss of cross striations in the muscle fibers, electronmicroscopically presenting complete disorganization of the myofibrils with streaming of the Z discs and absence of mitochondria ...
van Wijngaarden, George G.K. +5 more
openaire +3 more sources
Sentiment Classification Based on Part-of-Speech and Self-Attention Mechanism
IEEE Access, 2020 Currently, various attention-based neural networks have achieved successes in sentiment classification tasks, as attention mechanism is capable of focusing on those words contributing more to the sentiment polarity prediction than others.
Kefei Cheng, Yanan Yue, Zhiwen Song
doaj +1 more source
Multi scale switchable atrous convolution for target detection based on feature pyramid [PDF]
MATEC Web of Conferences, 2022 Repeated observation mechanism can effectively solve the problem of low efficiency of feature extraction. By extracting features for many times to strengthen target features, this paper proposed a multi-scale switchable atrous convolution based on ...
Fang Cheng, Hao Ziqiang, Chen Jiaxin
doaj +1 more source
Building extraction from remote sensing images using deep residual U-Net
European Journal of Remote Sensing, 2022 Building extraction is a fundamental area of research in the field of remote sensing. In this paper, we propose an efficient model called residual U-Net (RU-Net) to extract buildings. It combines the advantages of U-Net, residual learning, atrous spatial
Haiying Wang, Fang Miao
doaj +1 more source
Application of an Improved Focal Loss in Vehicle Detection [PDF]
, 2020 Object detection is an important and fundamental task in computer vision. Recently, the emergence of deep neural network has made considerable progress in object detection. Deep neural network object detectors can be grouped in two broad categories: the two-stage detector and the one-stage detector.
Xuanlin He +2 more
openaire +1 more source
DiagnosticsBackground/Objectives: In this study, a vision transformer (ViT) based ensemble architecture was developed for the classification of normal, benign, and malignant diseases from breast ultrasound images.
Tuğçe Taşar Yıldırım +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source