Results 31 to 40 of about 34,789 (293)
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction [PDF]
IEEE Transactions on Medical Imaging, 2019 Published in IEEE Transactions on Medical ...
Chen Qin +5 more
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Deep neural network model for group activity recognition using contextual relationship
Engineering Science and Technology, an International Journal, 2019 In this paper, we present contextual relationship-based learning model using deep neural network for recognizing the activities performed by a group of people in a video sequence.
S.A. Vahora, N.C. Chauhan
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Convolutional Neural Networks with Recurrent Neural Filters [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 Accepted by EMNLP 2018 as a short ...
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Convolutional Recurrent Neural Networks forHyperspectral Data Classification [PDF]
Remote Sensing, 2017 Deep neural networks, such as convolutional neural networks (CNN) and stacked autoencoders, have recently been successfully used to extract deep features for hyperspectral data classification. Recurrent neural networks (RNN) are another type of neural networks, which are widely used for sequence analysis because they are constructed to extract ...
Hao Wu, Saurabh Prasad
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IEEE Access, 2019 The text classification task is an important application in natural language processing. At present, deep learning models, such as convolutional neural network and recurrent neural network, have achieved good results for this task, but the multi-class ...
Jin Zheng, Limin Zheng
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2020 Nowadays internet access is getting easier to get. Because of the ease of access to the internet, almost all internet users have social media. Social media is widely used by users to call out their opinions or even to make complaints about a matter and ...
Ivan Nathaniel Husada, Hapnes Toba
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A Deep Neural Network Model for Speaker Identification
Applied Sciences, 2021 Speaker identification is a classification task which aims to identify a subject from a given time-series sequential data. Since the speech signal is a continuous one-dimensional time series, most of the current research methods are based on ...
Feng Ye, Jun Yang
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Design and Development of RNN Anomaly Detection Model for IoT Networks
IEEE Access, 2022 Cybersecurity is important today because of the increasing growth of the Internet of Things (IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber security has become an increasingly difficult issue to manage as various
Imtiaz Ullah, Qusay H. Mahmoud
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Convolutional-Recurrent Neural Networks for Speech Enhancement [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 ICASSP ...
Zhao, Han +3 more
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NLOS Identification in WLANs Using Deep LSTM with CNN Features
Sensors, 2018 Identifying channel states as line-of-sight or non-line-of-sight helps to optimize location-based services in wireless communications. The received signal strength identification and channel state information are used to estimate channel conditions for ...
Viet-Hung Nguyen +3 more
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