Student engagement in a learning environment is directly related to students’ perception and involvement of the educational activities class, along with their physical mental health. This paper presents an extensive survey various automatic detection approaches algorithms based on computer vision, physiological neurological signals analysis-based methods. The vision-based techniques depend trai...

Methods for automatic analysis of user interfaces are essential a wide range applications in computer science and software engineering. These methods used security, document archiving, human-computer interaction, engineering, data science. Even though these essential, no single research systematically lists most the their characteristics. This paper aims to give an overview different solutions ...

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a given document. Recently, researchers have conducted in-depth studies on this task from various perspectives. In paper, we comprehensively summarize representative the perspectives of dominant models, datasets and evaluation metrics. Our work analyzes up 167 previous works, achieving greater coverage than survey...

Brain tumor segmentation (BTS) represents a challenging task in medical image processing. BTS aims to establish precise delineation of brain regions using masks that are accurately located. Manual has proven be ineffective with large dataset terms efficiency and time consumption. Recently, researchers have used deep learning techniques segment the from MRI images fully automatic way without hum...