A constrained optimization model for the provision of services in a 5G network with multi-level cybersecurity investments [0.03%]
一种在多层次网络安全投资的5G网络中提供服务的约束优化模型
Giorgia M Cappello,Gabriella Colajanni,Patrizia Daniele et al.
Giorgia M Cappello et al.
In this paper, we present a multi-tiered network-based optimization model describing the provision of services by network slices of 5G-Service providers (e.g. through Unmanned Aerial Vehicles (UAVs) organized as Flying Ad hoc Networks (FANE...
Yancheng Yang,Shah Nazir,Wajeeha Khalil
Yancheng Yang
Several people around the world have died from the coronavirus (COVID-19) disease. With the increase in COVID-19 cases, distribution, and deaths, much has occurred regarding the ban on travel, border closure, curfews, and the disturbance in...
Optimal scale combination selection for inconsistent multi-scale decision tables [0.03%]
不一致多尺度决策表的最优尺度组合选择方法研究
Zhu Yingjie,Yang Bin
Zhu Yingjie
Hierarchical structured data are very common for data mining and other tasks in real-life world. How to select the optimal scale combination from a multi-scale decision table is critical for subsequent tasks. At present, the models for calc...
An ensemble deep learning classifier for sentiment analysis on code-mix Hindi-English data [0.03%]
一种针对混码印地语-英语数据情感分析的集成深度学习分类器
Rahul Pradhan,Dilip Kumar Sharma
Rahul Pradhan
Code-mixing on social media is a trend in many countries where people speak multiple languages, such as India, where Hindi and English are major communication languages. Sentiment analysis is beneficial in understanding users' opinions and ...
An intelligent cybersecurity system for detecting fake news in social media websites [0.03%]
一种用于检测社交媒介网站虚假新闻的智能网络安全系统
Ala Mughaid,Shadi Al-Zu&#x;bi,Ahmed Al Arjan et al.
Ala Mughaid et al.
People worldwide suffer from fake news in many life aspects, healthcare, transportation, education, economics, and many others. Therefore, many researchers have considered seeking techniques for automatically detecting fake news in the last...
Nguyen Dinh Phu,Nguyen Nhut Hung,Ali Ahmadian et al.
Nguyen Dinh Phu et al.
The picture fuzzy set (PFS) just appeared in 2014 and was introduced by Cuong, which is a generalization of intuitionistic fuzzy sets (Atanassov in Fuzzy Sets Syst 20(1):87-96, 1986) and fuzzy sets (Zadeh Inf Control 8(3):338-353, 1965). Th...
A deep neural network for the classification of epileptic seizures using hierarchical attention mechanism [0.03%]
基于分层注意机制的癫痫分类深度神经网络
Sateesh Kumar Reddy Chirasani,Suchetha Manikandan
Sateesh Kumar Reddy Chirasani
Electroencephalogram (EEG) is a common diagnostic tool for measuring the seizure activity of the brain. There are many deep learning techniques introduced to analyze EEG. These methods show phenomenal results, although they are limited to c...
A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning [0.03%]
基于模糊数据的贝叶斯估计的一种可能度类推及其在机器学习中的应用研究
Mohsen Arefi,Reinhard Viertl,S Mahmoud Taheri
Mohsen Arefi
A Bayesian approach in a possibilistic context, when the available data for the underlying statistical model are fuzzy, is developed. The problem of point estimation with fuzzy data is studied in the possibilistic Bayesian approach introduc...
Time-series data prediction problem analysis through multilayered intuitionistic fuzzy sets [0.03%]
多层直觉模糊集的时间序列数据预测问题分析
Atul Kumar Dwivedi,Umadevi Kaliyaperumal Subramanian,Jinsa Kuruvilla et al.
Atul Kumar Dwivedi et al.
For several years, time-series prediction seems to have been a popular research topic. Sales plans, ECG forecasts, meteorological circumstances, and even COVID-19 spreading projections are among its uses. These implementations have inspired...
Predicting the spread of COVID-19 with a machine learning technique and multiplicative calculus [0.03%]
一种机器学习技术与乘法微积分的COVID-19传播预测方法
Bülent Bilgehan,Ali Özyapıcı,Zakia Hammouch et al.
Bülent Bilgehan et al.
This paper aims to generate a universal well-fitted mathematical model to aid global representation of the spread of the coronavirus (COVID-19) disease. The model aims to identify the importance of the measures to be taken in order to stop ...