Data Technologies and Applications
Issue(s) available: 29 – From Volume: 52 Issue: 1, to Volume: 58 Issue: 1
Volume 58
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Issue 1 2024
Volume 54
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…
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…
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…
On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality
Sara El-Ateif, Ali Idri, José Luis Fernández-AlemánCOVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT…
A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement
Jing Tang, Yida Guo, Yilin HanCoal is a critical global energy source, and fluctuations in its price significantly impact related enterprises' profitability. This study aims to develop a robust model for…
Understanding the relationship between normative records of appeals and government hotline order dispatching: a data analysis method
Zicheng ZhangAdvanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent…
Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA)
B. Vasavi, P. Dileep, Ulligaddala SrinivasaraoAspect-based sentiment analysis (ASA) is a task of sentiment analysis that requires predicting aspect sentiment polarity for a given sentence. Many traditional techniques use…
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…
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.
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…
Deep understanding of radiology reports: leveraging dynamic convolution in chest X-ray images
Tarun Jaiswal, Manju Pandey, Priyanka TripathiThe purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional…
Analyzing audiovisual data for understanding user's emotion in human−computer interaction environment
Juan Yang, Zhenkun Li, Xu DuAlthough numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their…
Measuring land lot shapes for property valuation
Changro LeeUnstructured data such as images have defied usage in property valuation for a long time. Instead, structured data in tabular format are commonly employed to estimate property…
CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method
Hei-Chia Wang, Martinus Maslim, Hung-Yu LiuA clickbait is a deceptive headline designed to boost ad revenue without presenting closely relevant content. There are numerous negative repercussions of clickbait, such as…
Analysis of automated guided vehicles performance based on process mining techniques
Alejandro Ramos-Soto, Angel Dacal-Nieto, Gonzalo Martín Alcrudo, Gabriel Mosquera, Juan José ArealProcess mining has emerged in the last decade as one of the most promising tools to discover and understand the actual execution of processes. This paper addresses the application…
AsCDPR: a novel framework for ratings and personalized preference hotel recommendation using cross-domain and aspect-based features
Hei-Chia Wang, Army Justitia, Ching-Wen WangThe explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests'…
Blockchain solutions for scientific paper peer review: a systematic mapping of the literature
Allan Farias Fávaro, Roderval Marcelino, Cristian CechinelThis paper presents a review of the state of the art on the application of blockchain and smart contracts to the peer-review process of scientific papers. The paper seeks to…
Giving life to dead: role of WayBack Machine in recovery of dead URLs
Fayaz Ahmad Loan, Aasif Mohammad Khan, Syed Aasif Ahmad Andrabi, Sozia Rashid Sozia, Umer Yousuf ParrayThe purpose of the present study is to identify the active and dead links of uniform resource locators (URLs) associated with web references and to compare the effectiveness of…
Savitar: an intelligent sign language translation approach for deafness and dysphonia in the COVID-19 era
Wuyan Liang, Xiaolong XuIn the COVID-19 era, sign language (SL) translation has gained attention in online learning, which evaluates the physical gestures of each student and bridges the communication…
Performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task
Yuping Xing, Yongzhao ZhanFor ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their…
Topic optimization–incorporated collaborative recommendation for social tagging
Xuwei Pan, Xuemei Zeng, Ling DingWith the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity…
TMsDP: two-stage density peak clustering based on multi-strategy optimization
Jie Ma, Zhiyuan Hao, Mo HuThe density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and…
Machine learning methods for results merging in patent retrieval
Vasileios Stamatis, Michail Salampasis, Konstantinos DiamantarasIn federated search, a query is sent simultaneously to multiple resources and each one of them returns a list of results. These lists are merged into a single list using the…
Construction of public security indicators based on characteristics of shared group behavior patterns
XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li ShenHuman group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points…
ISSN:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban