Device Classification-Based Context Management for Ubiquitous Computing using Machine Learning

Body Mass Index Classification based on Facial Features using Machine Learning Algorithms for utilizing in Telemedicine

Background and Objectives: Due to the impact of controlling BMI on life, BMI classification based on facial features can be used for developing Telemedicine systems and eliminating the limitations of measuring tools, especially for paralyzed people. So that physicians can help people online during the Covid-19 pandemic. Method: In this study, new features and some previous work features were e...

Automated Context Learning in Ubiquitous Computing Environments

Context awareness enables services and applications to adapt their behaviour to the current situation for the benefit of their users. It is considered as a key technology within the IT industry, for its potential to provide a significant competitive advantage to services providers and to give subtantial differentiation among existing services. Automated learning of contexts will improve the eff...

Machine Learning Methods and Technologies for Ubiquitous Computing

The research proposal concerns the use of machine learning techniques for data mining in pervasive environments. It will lead to the formalization of a framework, able to translate series of “raw” data in high-level knowledge. Novel machine learning approaches, interpreting data coming from the environment that surrounds users, will be liveraged. Data will be collected through micro-components ...

Ubiquitous computing - computing in context

xLink: Context Management Solution for Commodity Ubiquitous Computing Environments

In this position paper, we present xLink, a system for managing context information and marshalling service queries and data flow. The repeated re-invention of context management systems remains a perennial phenomenon in context aware and ubiquitous computing. Often, these systems are integrated into applications to accommodate the low level requirements of the underlying devices. We hope to ad...