Results 21 to 30 of about 37,616 (181)
A hybrid model for fake news detection: Leveraging news content and user comments in fake news
IET Information Security, 2021 Nowadays, social media platforms such as Twitter have become a popular medium for people to spread and consume news because of their easy access and the rapid proliferation of news.
Marwan Albahar
doaj +1 more source
IET Smart Grid, 2022 The automated identification and localisation of grid disturbances is a major research area and key technology for the monitoring and control of future power systems.
André Kummerow +2 more
doaj +1 more source
Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks
International Journal of Computational Intelligence Systems, 2020 Pacemaker logs are used to predict the progression of paroxysmal cardiac arrhythmia to permanent atrial fibrillation by means of different deep learning algorithms. Recurrent Neural Networks are trained on data produced by a generative model.
Nahuel Costa +3 more
doaj +1 more source
Cross refinement network with edge detection for salient object detection
IET Signal Processing, 2021 Salient object detection aims to identify the most attractive objects from images. However, their boundaries are typically of poor quality when predicted using available methods.
Junjiang Xiang +4 more
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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]
, 2016 Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Babu, R. Venkatesh +5 more
core +2 more sources
A BiLSTM cardinality estimator in complex database systems based on attention mechanism
CAAI Transactions on Intelligence Technology, 2022 An excellent cardinality estimation can make the query optimiser produce a good execution plan. Although there are some studies on cardinality estimation, the prediction results of existing cardinality estimators are inaccurate and the query efficiency ...
Qiang Zhou +8 more
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A comprehensive framework from real‐time prognostics to maintenance decisions
IET Collaborative Intelligent Manufacturing, 2021 Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the
Amit Kumar Jain +4 more
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Hierarchically-Attentive RNN for Album Summarization and Storytelling
, 2017 We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural language story for the album.
Bansal, Mohit +2 more
core +1 more source
Learning Recurrent Neural Net Models of Nonlinear Systems
, 2020 15 pages; previous versions, including the one in Proc. L4DC 2021, had an error in Theorem 3.1, which propagated to the main result (Theorem 3.2)
Hanson, Joshua +2 more
openaire +2 more sources
CAAI Transactions on Intelligence Technology, 2021 The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community.
Rohit Kaushik +3 more
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