Multi-class classification has its challenge compared to binary classification. The challenges mainly caused by the interactions
between explanatory and responses variable are increasingly complex. Ensemble-based methods such as boosting and random…
AbstractThis study addresses the escalating challenge of Twitter spam detection by leveraging the power of Convolutional Neural Networks (CNNs). With the proliferation of spam content on social media platforms, traditional machine…
Educators in the STEM (science, technology, engineering, and mathematics) field are constantly employing different tools to make the process of education streamlined and fun. The digital gaming platform also called e-gaming platform has evolved as…
Hydroponics is basedon nutrients in water. It mustbe regularlymonitoredto prevent plant defects. The Internet of Things has become a solution for remote hydroponic monitoring and is currently being tested on the Yuan HidroponikKelompok Wanita Tani…
Diabetes is a chronic, progressive condition whose global prevalence continues to rise, creating substantial public health and economic burdens.
Early diagnosis and timely intervention are critical to preventing severe complications and improving…
Mobile technologies are increasingly making important contributions to the lives of many users. Various factors are said to influence the decision of users to remain connected and be in constant interaction with other users from the same or different…
The existence of missing values will really inhibit process of clustering. To overcome it, some of scientists have found several solutions. Both of them are imputation and special clustering algorithms. This paper compared the results of clustering…
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n recent year, marine ecosystems and fisheries becomes potential resources, therefore, monitoring of these objects
will be important to ensure their existence. One of computer vision techniques, it is object detection, utilized to
recognize and…
This is a comparative study on digital reading behaviors between students in Graduate Institute of Library and Information Studies (GLIS) in
National Taiwan Normal University and School of Information Studies (SOIS) in University of…
Commodity prices forecasting is one of the business functions to estimate future demand based on past data trend. This study
aims to implement a trial and error technique of the constant (alpha α) value in the exponential smoothing method. Dealing…