Dengue epidemics prediction: A survey of the state-of-the-art based on data science processes

P Siriyasatien, S Chadsuthi, K Jampachaisri… - IEEE …, 2018 - ieeexplore.ieee.org
Dengue infection is a mosquitoborne disease caused by dengue viruses, which are carried
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …

Personalized attraction recommendation system for tourists through check-in data

K Kesorn, W Juraphanthong, A Salaiwarakul - IEEE access, 2017 - ieeexplore.ieee.org
Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …

Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval

Z Gao, DY Wang, SH Wan, H Zhang… - Future Generation …, 2019 - Elsevier
Abstract 3D object retrieval has attracted much research attention in recent years, while most
of the state-of-the-art approaches highly depend on the camera array settings for capturing …

CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things

K Guo, Y Tang, P Zhang - Information Fusion, 2017 - Elsevier
With the rising popularity of social media in the context of environments based on the
Internet of things (IoT), semantic information has emerged as an important bridge to connect …

[PDF][PDF] Semantic image retrieval: An ontology based approach

U Manzoor, MA Balubaid, B Zafar, H Umar… - International Journal of …, 2015 - academia.edu
Images/Videos are major source of content on the internet and the content is increasing
rapidly due to the advancement in this area. Image analysis and retrieval is one of the active …

A content-based image retrieval method based on the google cloud vision api and wordnet

SH Chen, YH Chen - Intelligent Information and Database Systems: 9th …, 2017 - Springer
Abstract Content-Based Image Retrieval (CBIR) method analyzes the content of an image
and extracts the features to describe images, also called the image annotations (or called …

Building and managing fuzzy ontologies with heterogeneous linguistic information

JA Morente-Molinera, IJ Pérez, MR Ureña… - Knowledge-Based …, 2015 - Elsevier
Fuzzy ontologies allow the modeling of real world environments using fuzzy sets
mathematical environment and linguistic modeling. Therefore, fuzzy ontologies become …

Ontology sparse vector learning algorithm for ontology similarity measuring and ontology mapping via ADAL technology

W Gao, L Zhu, K Wang - International Journal of Bifurcation and …, 2015 - World Scientific
Ontology, a model of knowledge representation and storage, has had extensive applications
in pharmaceutics, social science, chemistry and biology. In the age of “big data”, the …

An ontology-based approach for knowledge acquisition: an example of sustainable supplier selection domain corpus

A Konys - Electronics, 2022 - mdpi.com
Selecting the right supplier is a critical decision in sustainable supply chain management.
Sustainable supplier selection plays an important role in achieving a balance between the …

Toward semantic data imputation for a dengue dataset

N Kamkhad, K Jampachaisri, P Siriyasatien… - Knowledge-Based …, 2020 - Elsevier
Missing data are a major problem that affects data analysis techniques for forecasting.
Traditional methods suffer from poor performance in predicting missing values using simple …