Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application [0.03%]
基于GA-PSO算法优化雾计算中大数据应用的多目标任务调度
Muhammad Saad,Rabia Noor Enam,Rehan Qureshi
Muhammad Saad
As the volume and velocity of Big Data continue to grow, traditional cloud computing approaches struggle to meet the demands of real-time processing and low latency. Fog computing, with its distributed network of edge devices, emerges as a ...
Trends of the COVID-19 dynamics in 2022 and 2023 vs. the population age, testing and vaccination levels [0.03%]
2022和2023年COVID-19动态趋势与人口年龄、检测及疫苗接种水平的关系
Igor Nesteruk
Igor Nesteruk
Introduction: The population, governments, and researchers show much less interest in the COVID-19 pandemic. However, many questions still need to be answered: why the much less vaccinated African continent has accumulate...
A novel approach to fake news classification using LSTM-based deep learning models [0.03%]
利用基于LSTM的深度学习模型对假新闻进行分类的新方法
Halyna Padalko,Vasyl Chomko,Dmytro Chumachenko
Halyna Padalko
The rapid dissemination of information has been accompanied by the proliferation of fake news, posing significant challenges in discerning authentic news from fabricated narratives. This study addresses the urgent need for effective fake ne...
Zilong Zhao,Aditya Kunar,Robert Birke et al.
Zilong Zhao et al.
The usage of synthetic data is gaining momentum in part due to the unavailability of original data due to privacy and legal considerations and in part due to its utility as an augmentation to the authentic data. Generative adversarial netwo...
Hybridization of long short-term memory neural network in fractional time series modeling of inflation [0.03%]
混合长短期记忆神经网络在通货膨胀分数时间序列建模中的应用
Erman Arif,Elin Herlinawati,Dodi Devianto et al.
Erman Arif et al.
Inflation is capable of significantly impacting monetary policy, thereby emphasizing the need for accurate forecasts to guide decisions aimed at stabilizing inflation rates. Given the significant relationship between inflation and monetary,...
Criminal clickbait: a panel data analysis on the attractiveness of online advertisements offering stolen data [0.03%]
刑事点击诱饵：关于提供被盗数据的在线广告吸引力的面板数据分析
Renushka Madarie,Christianne de Poot,Marleen Weulen Kranenbarg
Renushka Madarie
Introduction: Few studies have examined the sales of stolen account credentials on darkweb markets. In this study, we tested how advertisement characteristics affect the popularity of illicit online advertisements offerin...
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks [0.03%]
超越准确率：基于图神经网络推荐系统中的多样性、新颖性与公平性研究
Tomislav Duricic,Dominik Kowald,Emanuel Lacic et al.
Tomislav Duricic et al.
By providing personalized suggestions to users, recommender systems have become essential to numerous online platforms. Collaborative filtering, particularly graph-based approaches using Graph Neural Networks (GNNs), have demonstrated great...
Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks [0.03%]
非侵入性贫血检测使用唇粘膜图像迁移卷积神经网络的纠正措施
Shekhar Mahmud,Mohammed Mansour,Turker Berk Donmez et al.
Shekhar Mahmud et al.
[This corrects the article DOI: 10.3389/fdata.2023.1291329.]. Keywords: anemia; classification; convolutiona...
Published Erratum
Frontiers in big data. 2023 Dec 20:6:1338363. DOI:10.3389/fdata.2023.1338363 2023
Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse [0.03%]
勘误：走向对全球大脑数据治理的理解：构成全球大脑数据治理话语的伦理立场
Paschal Ochang,Damian Eke,Bernd Carsten Stahl
Paschal Ochang
[This corrects the article DOI: 10.3389/fdata.2023.1240660.]. Keywords: brain data; data governance; ethical...
Published Erratum
Frontiers in big data. 2023 Dec 19:6:1344345. DOI:10.3389/fdata.2023.1344345 2023
Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions [0.03%]
利用深度学习方法增强从非结构化数据中发现知识以支持地下建模预测
Brendan Hoover,Dakota Zaengle,MacKenzie Mark-Moser et al.
Brendan Hoover et al.
Subsurface interpretations and models rely on knowledge from subject matter experts who utilize unstructured information from images, maps, cross sections, and other products to provide context to measured data (e. g., cores, well logs, sei...