Results 41 to 50 of about 2,625,571 (293)
Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms [PDF]
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020 Pedestrian tracking has long been considered an important problem, especially in security applications. Previously,many approaches have been proposed with various types of sensors. One popular method is Pedestrian Dead Reckoning(PDR) [1] which is based on the inertial measurement unit(IMU) sensor.
Mahdi Elhousni, Xinming Huang 0001
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Convolutional Gated Recurrent Units for Medical Relation Classification [PDF]
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018 Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, which exploits the advantages of CNN and RNN simultaneously, to identify medical relations in clinical records, with only word embedding features.
Bin He 0005, Yi Guan, Rui Dai
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DS-GAU: Dual-sequences gated attention unit architecture for text-independent speaker verification
Machine Learning with Applications, 2023 Text-independent speaker verification provides people identified from their voice characteristics. In this paper, we propose a new method, Dual-Sequences Gate Attention Unit to improve the accuracy of a massive speaker verification system. Dual-Sequences
Tsung-Han Tsai, Tran Dang Khoa
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Identifying Essential Proteins by Hybrid Deep Learning Model [PDF]
Jisuanji kexue, 2021 Essential proteins are those proteins that are essential to the viability of the organism.The identification of essential proteins helps to understand the minimum requirements of cell life,discover disease-causing genes and drug targets,and is of great ...
LIU Wen-yang, GUO Yan-bu, LI Wei-hua
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Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach
IEEE Access, 2022 Reheating furnaces are used to homogeneously reheat the steel stock (Billets, blooms or slabs) at a temperature between 1000°C and 1250°C before hot rolling.
Chien-Jung Chen +2 more
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Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Visual inspection of long-term electroencephalography (EEG) is a tedious task for physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural network, an automatic seizure detection method is proposed in this paper to facilitate ...
Yanli Zhang +7 more
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Cogent EngineeringThis paper proposes a robust framework for cryptocurrency price forecasting by integrating technical indicators, genetic algorithm based feature selection, and hybrid deep learning models. Technical indicators capture historical patterns, while a genetic
Susrita Mahapatro +2 more
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SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection [PDF]
With the surge of diverse news content on social media platforms, the necessity to effectively identify and combat fake news has never been more critical.
Sahi, Aqeel +6 more
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Multi-modal gated recurrent units for image description [PDF]
Multimedia Tools and Applications, 2018 Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture objects contained in the image and the relationships among them, but also be relevant and grammatically correct.
Xuelong Li 0001 +2 more
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Traffic flow prediction using bi-directional gated recurrent unit method
, 2022 Traffic flow prediction plays an important role in intelligent transportation systems. To accurately capture the complex non-linear temporal characteristics of traffic flow, this paper adopts a Bi-directional Gated Recurrent Unit (Bi-GRU) model in ...
Wang, Shengyou +4 more
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