Human-Centric Intelligent Systems
Volume 1, Issue 3-4, December 2021
1. Understanding MOOC Reviews: Text Mining using Structural Topic Model
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
Pages: 55 - 65
Understanding the reasons for Massive Open Online Course (MOOC) learners’ complaints is essential for MOOC providers to facilitate service quality and promote learner satisfaction. The current research uses structural topic modeling to analyze 21,692 programming MOOC course reviews in Class Central,...
2. Pretrained Natural Language Processing Model for Intent Recognition (BERT-IR)
Vasima Khan, Tariq Azfar Meenai
Pages: 66 - 74
Intent Recognition (IR) is considered a key area in Natural Language Processing (NLP). It has crucial usage in various applications. One is the Search Engine-Interpreting the context of text searched by the user improves the response time and helps the search engines give appropriate outputs. Another...
3. DiaVis: Exploration and Analysis of Diabetes through Visual Interactive System
Mosiur Rahman, Md Rafiqul Islam, Sharmin Akter, Shanjita Akter, Linta Islam, Guandong Xu
Pages: 75 - 85
Background: Diabetes is a long-term disease characterized by high blood sugar and has risen as a public health problem globally. Exploring and analyzing diabetes data is a timely concern because it may prompt a variety of serious illnesses, including stroke, kidney failure, heart attacks, etc. Several...
4. Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms
Md. Mehedi Hassan, Md. Mahedi Hassan, Laboni Akter, Md. Mushfiqur Rahman, Sadika Zaman, Khan Md. Hasib, Nusrat Jahan, Raisun Nasa Smrity, Jerin Farhana, M. Raihan, Swarnali Mollick
Pages: 86 - 97
The quality of water has a direct influence on both human health and the environment. Water is utilized for a variety of purposes, including drinking, agriculture, and industrial use. The water quality index (WQI) is a critical indication for proper water management. The purpose of this work was to use...
5. Application of Logistic Regression Based on Maximum Likelihood Estimation to Predict Seismic Soil Liquefaction Occurrence
Idriss Jairi, Yu Fang, Nima Pirhadi
Pages: 98 - 104
Seismic soil liquefaction is one of the considerable challenges and disastrous sides of earthquakes that can generally happen in loose to medium saturated sandy soils. The in-situ cone penetration test (CPT) is a widely used index for evaluating the liquefaction characteristics of soils from different...