A survey on health monitoring systems for health smart homes
Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …
environments have evolved rapidly to become a viable alternative to traditional healthcare …
[LIBRO][B] Singular spectrum analysis of biomedical signals
S Sanei, H Hassani - 2015 - books.google.com
Recent advancements in signal processing and computerised methods are expected to
underpin the future progress of biomedical research and technology, particularly in …
underpin the future progress of biomedical research and technology, particularly in …
Mobility prediction in cellular network using hidden markov model
In next generation networks, mobile communication calls for service with higher quality,
which brings new challenge for mobility management. Thereinto, utilization and …
which brings new challenge for mobility management. Thereinto, utilization and …
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition
This paper presents a comparative study of two machine learning techniques for recognizing
handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian …
handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian …
Context prediction in pervasive computing systems: Achievements and challenges
A Boytsov, A Zaslavsky - Supporting Real Time Decision-Making: The Role …, 2011 - Springer
Context awareness is one of the core principles of pervasive computing. Context prediction
is also recognised as a challenge and an opportunity. Numerous approaches have been …
is also recognised as a challenge and an opportunity. Numerous approaches have been …
Using neural networks for route and destination prediction in intelligent transport systems
Route prediction and destination prediction based on the past routes are a missing piece in
intelligent transport systems (ITS). These predictions can be useful in many areas …
intelligent transport systems (ITS). These predictions can be useful in many areas …
Using two-level context-based predictors for assembly assistance in smart factories
The paper presents some preliminary results in engineering a context-aware assistive
system for manual assembly tasks. It employs context-based predictors to suggest the next …
system for manual assembly tasks. It employs context-based predictors to suggest the next …
DMP-IOT: A distributed movement prediction scheme for IOT health-care applications
Mobility prediction in IP-based WSNs makes it possible to predict the next movement
direction of mobile sensor nodes, which results in less power consumption and delay during …
direction of mobile sensor nodes, which results in less power consumption and delay during …
Data-driven model-based detection of malicious insiders via physical access logs
The risk posed by insider threats has usually been approached by analyzing the behavior of
users solely in the cyber domain. In this article, we show the viability of using physical …
users solely in the cyber domain. In this article, we show the viability of using physical …
Extending context spaces theory by proactive adaptation
A Boytsov, A Zaslavsky - Conference on Smart Spaces, 2010 - Springer
Context awareness is one of the core features of pervasive computing systems. Pervasive
systems can also be improved by smart application of context prediction. This paper …
systems can also be improved by smart application of context prediction. This paper …