Human-Centric Intelligent Systems
Application of Logistic Regression Based on Maximum Likelihood Estimation to Predict Seismic Soil Liquefaction Occurrence
Idriss Jairi, Yu Fang, Nima Pirhadi
Volume 1, Issue 3-4, December 2021, 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...
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
Volume 1, Issue 3-4, December 2021, 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...
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
Volume 1, Issue 3-4, December 2021, 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,...
Mosiur Rahman, Md Rafiqul Islam, Sharmin Akter, Shanjita Akter, Linta Islam, Guandong Xu
Volume 1, Issue 3-4, December 2021, 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...
Vasima Khan, Tariq Azfar Meenai
Volume 1, Issue 3-4, December 2021, 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...
Md Rafiqul Islam, Shanjita Akter, Md Rakybuzzaman Ratan, Abu Raihan M. Kamal, Guandong Xu
Volume 1, Issue 1-2, June 2021, Pages 3-17
Visual interactive system (VIS) has been received significant attention for solving various complex problems. However, designing and implementing a novel VIS with the large scale of data is a challenging task. While existing studies have applied various visual analytics (VA) to analyze and visualize...
Lisha Chen, Tianrui Li, Huaishao Luo, Chengfeng Yin
Volume 1, Issue 1-2, June 2021, Pages 25-31
Aspect level sentiment analysis aims at identifying sentiment polarity towards specific aspect terms in a given sentence. Most methods based on deep learning integrate Recurrent Neural Network (RNN) and its variants with the attention mechanism to model the influence of different context words on sentiment...
Xiaohui Tao, Nischal Sharma, Patrick Delaney, Aimin Hu
Volume 1, Issue 1-2, June 2021, Pages 32-42
This paper introduces a purposed Location-based Recommender System (LBRS) that combines sentiment analysis and topic modelling techniques to improve user profiling for enhancing recommendations of Points of Interest (POIs). Using additional feature extraction, we built user profiles from a Foursquare...
Tianrui Li, Guandong Xu
Volume 1, Issue 1-2, June 2021, Pages 1-2
Miao Kong, Lin Li, Renwei Wu, Xiaohui Tao
Volume 1, Issue 1-2, June 2021, Pages 18-24
In today’s society, happiness has attracted more and more attentions from researchers. It is interesting to study happiness from the perspective of data mining. In psychology domain, the application of data mining gradually becomes widespread and popular, which works from a novel data-driven viewpoint....
Jinzhen Zhang, Qinghua Zhang, Zhihua Ai, Xintai Li
Volume 1, Issue 1-2, June 2021, Pages 43-53
Since contextual information significantly affecting users’ decisions, it has attracted widespread attention. User typicality indicates the preference of user for different item types, which could reflect the preference of user at a higher abstraction level than the items rated by user, and can alleviate...