An intelligent healthcare monitoring framework using wearable sensors and social networking data
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …
method to collect patient data for efficient healthcare monitoring. However, continuous …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
Transportation sentiment analysis using word embedding and ontology-based topic modeling
Social networks play a key role in providing a new approach to collecting information
regarding mobility and transportation services. To study this information, sentiment analysis …
regarding mobility and transportation services. To study this information, sentiment analysis …
Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities
J Jia, H Ma, Z Zhang - Buildings, 2024 - mdpi.com
Industry Foundation Classes (IFCs), as the most recognized data schema for Building
Information Modeling (BIM), are increasingly combined with ontology to facilitate data …
Information Modeling (BIM), are increasingly combined with ontology to facilitate data …
Deep embedding learning with auto-encoder for large-scale ontology matching
Ontology matching is an efficient method to establish interoperability among heterogeneous
ontologies. Large-scale ontology matching still remains a big challenge for its long time and …
ontologies. Large-scale ontology matching still remains a big challenge for its long time and …
Enhancing health-care data integration via automated semantic mapping
J Clunis - The Electronic Library, 2023 - emerald.com
Purpose This paper aims to delve into the complexities of terminology mapping and
annotation, particularly within the context of the COVID-19 pandemic. It underscores the …
annotation, particularly within the context of the COVID-19 pandemic. It underscores the …
Mapping of Financial Services datasets using Human-in-the-Loop
S Asthana, R Mahindru - Proceedings of the Third ACM International …, 2022 - dl.acm.org
Increasing access to financial services data helps accelerate the monitoring and
management of datasets and facilitates better business decision-making. However, financial …
management of datasets and facilitates better business decision-making. However, financial …
[图书][B] Deep Open Representative Learning for Image and Text Classification
M Chandrashekar - 2020 - search.proquest.com
An essential goal of artificial intelligence is to support the knowledge discovery process from
data to the knowledge that is useful in decision making. The challenges in the knowledge …
data to the knowledge that is useful in decision making. The challenges in the knowledge …