Context aware computing for the internet of things: A survey

C Perera, A Zaslavsky, P Christen… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
As we are moving towards the Internet of Things (IoT), the number of sensors deployed
around the world is growing at a rapid pace. Market research has shown a significant growth …

Context-aware machine learning for intelligent transportation systems: A survey

GL Huang, A Zaslavsky, SW Loke… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …

Complex activity recognition using context-driven activity theory and activity signatures

S Saguna, A Zaslavsky, D Chakraborty - ACM Transactions on Computer …, 2013 - dl.acm.org
In pervasive and ubiquitous computing systems, human activity recognition has immense
potential in a large number of application domains. Current activity recognition techniques (i) …

Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes

G Okeyo, L Chen, H Wang - Future Generation Computer Systems, 2014 - Elsevier
Activity recognition is essential in providing activity assistance for users in smart homes.
While significant progress has been made for single-user single-activity recognition, it still …

Smart assistants for smart homes

K Rasch - 2013 - diva-portal.org
The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled
people, and help inhabitants save energy. Unfortunately, smart homes today are far from this …

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams

MJ Hosseini, A Gholipour, H Beigy - Knowledge and information systems, 2016 - Springer
Recent advances in storage and processing have provided the possibility of automatic
gathering of information, which in turn leads to fast and continuous flows of data. The data …

Context-as-a-Service Platform: exchange and share context in an IoT ecosystem

A Hassani, A Medvedev, PD Haghighi… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
While the Internet of Things (IoT) is growing at a staggering pace, the demand for context-
driven intelligence will be a fundamental factor for IoT sustainability, growth, interoperability …

Mining recurring concepts in a dynamic feature space

JB Gomes, MM Gaber, PAC Sousa… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Most data stream classification techniques assume that the underlying feature space is
static. However, in real-world applications the set of features and their relevance to the target …

Context-driven personalized service discovery in pervasive environments

K Rasch, F Li, S Sehic, R Ayani, S Dustdar - world wide web, 2011 - Springer
Pervasive environments are characterized by a large number of embedded devices offering
their services to the user. Which of the available services are of most interest to the user …

Reasoning about context in uncertain pervasive computing environments

P Delir Haghighi, S Krishnaswamy, A Zaslavsky… - Smart Sensing and …, 2008 - Springer
Context-awareness is a key to enabling intelligent adaptation in pervasive computing
applications that need to cope with dynamic and uncertain environments. Addressing …