Results 11 to 20 of about 9,899,096 (370)
Using deep learning algorithms for texture segmentation of ultra-high resolution satellite images [PDF]
E3S Web of Conferences, 2021 This paper presents the results of textural segmentation of satellite images with spatial resolution
Rusin Dmitry +3 more
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Journal of Big Data, 2021 In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving ...
Laith Alzubaidi +9 more
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ParaMed: a parallel corpus for English–Chinese translation in the biomedical domain
BMC Medical Informatics and Decision Making, 2021 Background Biomedical language translation requires multi-lingual fluency as well as relevant domain knowledge. Such requirements make it challenging to train qualified translators and costly to generate high-quality translations.
Boxiang Liu, Liang Huang
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IEEE Access, 2022 Reinforcement Learning (RL) has shown promising performance in environments for both robotic control and strategic decision making. However, they are usually treated as separate problems with different objectives.
Bruno Brandao +4 more
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Deep Learning with Differential Privacy [PDF]
Conference on Computer and Communications Security, 2016 Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the training of models requires large, representative datasets, which may be crowdsourced and contain sensitive information.
Martín Abadi +6 more
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Unsupervised Anomaly Detection Using Style Distillation
IEEE Access, 2020 Autoencoders (AEs) have been widely used for unsupervised anomaly detection. They learn from normal samples such that they produce high reconstruction errors for anomalous samples.
Hwehee Chung +4 more
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Object Detection With Deep Learning: A Review [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 Due to object detection’s close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable architectures.
Zhong-Qiu Zhao +3 more
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Image Segmentation Using Deep Learning: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among others, and ...
Shervin Minaee +5 more
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Scientific Reports, 2023 Cast-in-place anchors are being increasingly used in many applications including building construction, bridge, and power plants. The anchorage to concrete systems are subjected to tensile, shear and combined loads from a variety of loading circumstances
Quoc To Bao +4 more
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An Improved Blind Kriging Surrogate Model for Design Optimization Problems
Mathematics, 2022 Surrogate modeling techniques are widely employed in solving constrained expensive black-box optimization problems. Therein, Kriging is among the most popular surrogates in which the trend function is considered as a constant mean.
Hau T. Mai +4 more
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