Ubiquitous Computing Lab
ubiquitous-computing-lab
Ubiquitous Computing Lab (UCLab) is a Research and development organization
Languages
Repos
6
Stars
114
Forks
68
Top Language
JavaScript
Loading contributions...
Top Repositories
Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on human’s daily routines to provide a personalized well-being and health-care support
The LEAN UX platform provides an innovative way of evaluating the User experience with the combined abilities of managing multi-modal, wide range of emotions, real-time synchronization, time spans based experience extraction, multi-device integration and powerful visualization.
The artificial intelligence plays an essential role as an assistant to the physicians in decision making for the diagnosis, treatment, and follow up. However, the smartness and intelligence of the system depends on the knowledge base. There are many knowledge resources of knowledge for cardiovascular disease diagnosis, treatment, and prevention such as published guidelines, articles, real practice data, and experts’ heuristics and experiences. The proposed system AI-CDSS for HF diagnosis evolves the knowledge base with hybrid knowledge acquisition approach by emergence of expert-driven and data-driven approaches. The knowledge acquisition methodology is inspired from our previous work
This is a repository for the LinkedIn Learning course Python for Data Science and Machine Learning Essential Training
A collection of Human Fixations Datasets and Metrics for Scanpath Similarity
Repositories
6Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on human’s daily routines to provide a personalized well-being and health-care support
The LEAN UX platform provides an innovative way of evaluating the User experience with the combined abilities of managing multi-modal, wide range of emotions, real-time synchronization, time spans based experience extraction, multi-device integration and powerful visualization.
The artificial intelligence plays an essential role as an assistant to the physicians in decision making for the diagnosis, treatment, and follow up. However, the smartness and intelligence of the system depends on the knowledge base. There are many knowledge resources of knowledge for cardiovascular disease diagnosis, treatment, and prevention such as published guidelines, articles, real practice data, and experts’ heuristics and experiences. The proposed system AI-CDSS for HF diagnosis evolves the knowledge base with hybrid knowledge acquisition approach by emergence of expert-driven and data-driven approaches. The knowledge acquisition methodology is inspired from our previous work
No description provided.
This is a repository for the LinkedIn Learning course Python for Data Science and Machine Learning Essential Training
A collection of Human Fixations Datasets and Metrics for Scanpath Similarity