A Review on Applications of Chaotic Maps in Pseudo-Random Number Generators and Encryption [0.03%]
混沌映射在伪随机数生成器和加密中的应用综述
Rasika B Naik,Udayprakash Singh
Rasika B Naik
Because of the COVID-19 pandemic, most of the tasks have shifted to an online platform. Sectors such as e-commerce, sensitive multi-media transfer, online banking have skyrocketed. Because of this, there is an urgent need to develop highly ...
Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques [0.03%]
基于机器学习技术的混合特征 phishing网站检测模型研究
Sumitra Das Guptta,Khandaker Tayef Shahriar,Hamed Alqahtani et al.
Sumitra Das Guptta et al.
In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on any third-party systems. In ...
Shouhao Zhou,Xuelin Huang,Chan Shen et al.
Shouhao Zhou et al.
This work concerns the effective personalized prediction of longitudinal biomarker trajectory, motivated by a study of cancer targeted therapy for patients with chronic myeloid leukemia (CML). Continuous monitoring with a confirmed biomarke...
Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series [0.03%]
尼日利亚COVID-19疫苗接种的干预分析：单纯方案与中断时间序列分析
Desmond Chekwube Bartholomew,Chrysogonus Chinagorom Nwaigwe,Ukamaka Cynthia Orumie et al.
Desmond Chekwube Bartholomew et al.
In this paper, an intervention analysis approach was applied to daily cases of COVID-19 in Nigeria in order to evaluate the utilization and effect of the COVID-19 vaccine administered in the country. Data on the daily report of COVID-19 cas...
Performances of Machine Learning Models for Diagnosis of Alzheimer's Disease [0.03%]
机器学习模型在阿尔茨海默病诊断中的性能分析
Siddhartha Kumar Arjaria,Abhishek Singh Rathore,Dhananjay Bisen et al.
Siddhartha Kumar Arjaria et al.
In recent times, various machine learning approaches have been widely employed for effective diagnosis and prediction of diseases like cancer, thyroid, Covid-19, etc. Likewise, Alzheimer's (AD) is also one progressive malady that destroys m...
Monitoring COVID-19 Cases and Vaccination in Indian States and Union Territories Using Unsupervised Machine Learning Algorithm [0.03%]
基于无监督机器学习算法的印度各邦和联邦领土新冠肺炎病例和疫苗接种监测
S Chakraborty
S Chakraborty
The worldwide spread of the novel coronavirus originating from Wuhan, China led to an ongoing pandemic as COVID-19. The disease being a contagion transmitted rapidly in India through the people having travel histories to the affected countr...
What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?: Bibliometric analysis of scientific literature - analysing a 'snapshot in time' of the first wave of COVID-19 [0.03%]
新冠疫情第一波疫情期间，哪些国家、大学或研究机构在抗疫方面表现最佳？基于文献计量学分析的“某一时间点”的观察结果
Petar Radanliev,David De Roure,Rob Walton et al.
Petar Radanliev et al.
In this article, we conduct data mining and statistical analysis on the most effective countries, universities, and companies, based on their output (e.g., produced or collaborated) on COVID-19 during the first wave of the pandemic. Hence, ...
Aihua Li
Aihua Li
Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA [0.03%]
基于Bayesian结构时序和ARIMA的Covid-19趋势预测及疫苗影响分析
Muhammed Navas Thorakkattle,Shazia Farhin,Athar Ali Khan
Muhammed Navas Thorakkattle
Several researchers have used standard time series models to analyze future patterns of COVID-19 and the Causal impact of vaccinations in various countries. Bayesian structural time series (BSTS) and ARIMA (Autoregressive Integrated Moving ...
A New Extension of the Topp-Leone-Family of Models with Applications to Real Data [0.03%]
新的Topp-Leone模型扩展及其在实际数据中的应用
Mustapha Muhammad,Lixia Liu,Badamasi Abba et al.
Mustapha Muhammad et al.
In this article, we proposed a new extension of the Topp-Leone family of distributions. Some important properties of the model are developed, such as quantile function, stochastic ordering, model series representation, moments, stress-stren...