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1.338  Articles
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The pandemic that hit the world has greatly impacted our life. But after some time, it seems that it will be going to end because the vaccine has already been made. In response to this, some people expressed their opinions about this vaccination on social... see more

The pandemic that hit the world has greatly impacted our life. But after some time, it seems that it will be going to end because the vaccine has already been made. In response to this, some people expressed their opinions about this vaccination on social... see more

There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Naïve Bayes Classifier (NBC) method with XGBoost f... see more

In business, have many competitions between companies occur to obtain as many profits as possible, Financial Distress is a financial decline that occurs in companies, reflecting the health of the company before bankruptcy started. Therefore, to avoid bank... see more

Machine learning techniques are applied on higher education data for analyzing the interac-tion between the students and electronic learning systems. This type of analysis serves in predicting students’ scores, in alerting students-at-risk, and in managin... see more

Recognition of transportation modes can be used in different applications including human behavior research, transport management and traffic control. Previous work on transportation mode recognition has often relied on using multiple sensors or matching ... see more

Recognition of transportation modes can be used in different applications including human behavior research, transport management and traffic control. Previous work on transportation mode recognition has often relied on using multiple sensors or matching ... see more

El aprendizaje conjunto es un término que se utiliza para referirse a los métodos que combinan varios algoritmos para tomar una decisión, generalmente en tareas de aprendizaje automático supervisado. En los últimos años la regresión logística, Support Vec... see more

Intrusion Detection Systems (IDS) still have unresolved problems, namely the lack of accuracy in attack detection, resulting in false-positive problems and many false alarms. Machine learning is one way that is often utilized to overcome challenges that a... see more

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