Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules
Vector-borne diseases (VBDs) are a kind of infection caused through the transmission of
vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks …
vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks …
An intelligent healthcare system for predicting and preventing dengue virus infection
Dengue is a mosquito-borne pandemic viral infection, which transmits to humans from
Female Aedes albopictis or Aedes agypti mosquitoes. It progressively deteriorates the …
Female Aedes albopictis or Aedes agypti mosquitoes. It progressively deteriorates the …
A big data analytics architecture for smart cities and smart companies
M Fugini, J Finocchi, P Locatelli - Big Data Research, 2021 - Elsevier
This paper presents the approach to Big Data Analytics (BDA) developed in the SIBDA
(Sistema Innovativo Big Data Analytics) Project. The project aim is to study and develop …
(Sistema Innovativo Big Data Analytics) Project. The project aim is to study and develop …
Fog computing and IoT based healthcare support service for dengue fever
Purpose This paper has proposed a Fog architecture-based framework, which classifies
dengue patients into uninfected, infected and severely infected using a data set built in …
dengue patients into uninfected, infected and severely infected using a data set built in …
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Vector-borne diseases (VBDs) are a kind of infection caused through the transmission of
vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks …
vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks …
A deep neural network based context-aware smart epidemic surveillance in smart cities
Purpose Epidemics not only affect the public health but also are a threat to a nation's growth
and economy as well. Early prediction of epidemic can be beneficial to take preventive …
and economy as well. Early prediction of epidemic can be beneficial to take preventive …
OntoXAI: a semantic web rule language approach for explainable artificial intelligence
Abstract Machine learning revolutionizes accuracy in diverse fields such as disease
diagnosis, speech understanding, and sentiment analysis. However, its intricate architecture …
diagnosis, speech understanding, and sentiment analysis. However, its intricate architecture …
MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
In modern healthcare, addressing the complexities of accurate disease prediction and
personalized recommendations is both crucial and challenging. This research introduces …
personalized recommendations is both crucial and challenging. This research introduces …
Design of an information management system for the case library of business management courses
Y Liang, B Lou - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
The business management models are updated constantly, making it urgent to reform the
teaching methods of business management courses (BMCs). Case-based teaching (CBT) is …
teaching methods of business management courses (BMCs). Case-based teaching (CBT) is …
Ontoxai: a semantic web rule language approach for dengue fever classification using explainable ai and ontology
Dengue fever is a prevalent and potentially life-threatening mosquito-borne disease that
affects millions of people worldwide. The complex nature of the dengue, coupled with its …
affects millions of people worldwide. The complex nature of the dengue, coupled with its …