Table of contents
False alarm detection in intensive care unit for monitoring arrhythmia condition using bio-signals
Aleena Swetapadma, Tishya Manna, Maryam SamamiA novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the…
Sleep arousal detection for monitoring of sleep disorders using one-dimensional convolutional neural network-based U-Net and bio-signals
Priya Mishra, Aleena SwetapadmaSleep arousal detection is an important factor to monitor the sleep disorder.
ID-SF-Fusion: a cooperative model of intent detection and slot filling for natural language understanding
Meng Zhu, Xiaolong XuIntent detection (ID) and slot filling (SF) are two important tasks in natural language understanding. ID is to identify the main intent of a paragraph of text. The goal of SF is…
A Bayesian Inference-based approach for extracting driving data with implicit intention
Ping Huang, Haitao Ding, Hong Chen, Jianwei Zhang, Zhenjia SunThe growing availability of naturalistic driving datasets (NDDs) presents a valuable opportunity to develop various models for autonomous driving. However, while current NDDs…
Community relations discovery methods for users in Fancircle based on sentiment analysis in China
Kai WangThe identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among…
Light field image coding using a residual channel attention network–based view synthesis
Faguo Liu, Qian Zhang, Tao Yan, Bin Wang, Ying Gao, Jiaqi Hou, Feiniu YuanLight field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture information about light rays with…
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models
Qiuying Chen, Ronghui Liu, Qingquan Jiang, Shangyue XuTourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in…
ISSN:
2514-9288e-ISSN:
2514-9318ISSN-L:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban