Mathias Uta,Alexander Felfernig,Viet-Man Le et al.
Mathias Uta et al.
Recommender systems are decision support systems that help users to identify items of relevance from a potentially large set of alternatives. In contrast to the mainstream recommendation approaches of collaborative filtering and content-bas...
Jianwu Wang,Junqi Yin,Mai H Nguyen et al.
Jianwu Wang et al.
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0 [0.03%]
编辑评论：医疗物联网和医疗保健4.0中的计算智能
Sujata Dash,Subhendu Kumar Pani,Wellington Pinheiro Dos Santos
Sujata Dash
Editorial: Cyber security in the wake of fourth industrial revolution: opportunities and challenges [0.03%]
观点：第四次工业革命背景下的网络安全：机遇与挑战
Elochukwu Ukwandu,Chaminda Hewage,Hanan Hindy
Elochukwu Ukwandu
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...