Data Technologies and Applications: Volume 57 Issue 5

Collaboration and interaction with smart mechanisms in flipped classrooms

Wu-Yuin Hwang, Rio Nurtantyana, Uun Hariyanti

This study aimed to investigate learning behaviors deeply in flipped classrooms. In addition, it is worth considering how to help learners through recognition technology with…

Analyzing students' attention by gaze tracking and object detection in classroom teaching

Hui Xu, Junjie Zhang, Hui Sun, Miao Qi, Jun Kong

Attention is one of the most important factors to affect the academic performance of students. Effectively analyzing students' attention in class can promote teachers' precise…

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning

Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri

Histopathology biopsy imaging is currently the gold standard for the diagnosis of breast cancer in clinical practice. Pathologists examine the images at various magnifications to…

Joint modeling method of question intent detection and slot filling for domain-oriented question answering system

Huiyong Wang, Ding Yang, Liang Guo, Xiaoming Zhang

Intent detection and slot filling are two important tasks in question comprehension of a question answering system. This study aims to build a joint task model with some…

Music sentiment classification based on an optimized CNN-RF-QPSO model

Rui Tian, Ruheng Yin, Feng Gan

Music sentiment analysis helps to promote the diversification of music information retrieval methods. Traditional music emotion classification tasks suffer from high manual…

Sentiment analysis of the Algerian social movement inception

Meriem Laifa, Djamila Mohdeb

This study provides an overview of the application of sentiment analysis (SA) in exploring social movements (SMs). It also compares different models for a SA task of Algerian…

A new method based on ensemble time series for fast and accurate clustering

Ali Ghorbanian, Hamideh Razavi

The common methods for clustering time series are the use of specific distance criteria or the use of standard clustering algorithms. Ensemble clustering is one of the common…

Data mining–based stock price prediction using hybridization of technical and fundamental analysis

Jasleen Kaur, Khushdeep Dharni

The stock market generates massive databases of various financial companies that are highly volatile and complex. To forecast daily stock values of these companies, investors…