Contextual awareness in human-advanced-vehicle systems: a survey
Autonomous vehicles are becoming a reality in places with advanced infrastructure to
support their operations. In crowded places, harsh environments, missions that require these …
support their operations. In crowded places, harsh environments, missions that require these …
Towards to intelligent routing for DTN protocols using machine learning techniques
The communication protocols of wireless networks have experienced great advances in
recent years, specifically with the evolution of new technologies such as the Internet of …
recent years, specifically with the evolution of new technologies such as the Internet of …
Towards sustainable mobility behavior: Research challenges for location-aware information and communication technology
Private transport accounts for a large amount of total CO 2 emissions, thus significantly
contributing to global warming. Tools that actively support people in engaging in a more …
contributing to global warming. Tools that actively support people in engaging in a more …
Mobility prediction based on machine learning
T Anagnostopoulos, C Anagnostopoulos… - 2011 IEEE 12th …, 2011 - ieeexplore.ieee.org
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …
environments of dynamic nature and predict the location of mobile users in order to act …
Towards a hierarchical multitask classification framework for cultural heritage
Digital technologies such as 3D imaging, data analytics and computer vision opened the
door to a large set of applications in cultural heritage. Digital acquisition of a cultural assets …
door to a large set of applications in cultural heritage. Digital acquisition of a cultural assets …
Efficient location prediction in mobile cellular networks
T Anagnostopoulos, C Anagnostopoulos… - International Journal of …, 2012 - Springer
Mobile context-aware applications are capable of predicting the context of the user in order
to operate pro-actively and provide advanced services. We propose an efficient spatial …
to operate pro-actively and provide advanced services. We propose an efficient spatial …
Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier
M Bourjandi, M Yadollahzadeh‐Tabari… - IET Signal …, 2022 - Wiley Online Library
Accurate prediction of a user's movement path has various advantages for many
applications, such as optimising a nurse's trajectory in a hospital and assisting elderly or …
applications, such as optimising a nurse's trajectory in a hospital and assisting elderly or …
Mobile crowd location prediction with hybrid features using ensemble learning
With the explosive growth of location-based service on mobile devices, predicting users'
future locations and trajectories is of increasing importance to support proactive information …
future locations and trajectories is of increasing importance to support proactive information …
Mobile healthcare: opportunities and challenges
YY Shieh, FY Tsai, A Anavim… - … conference on the …, 2007 - ieeexplore.ieee.org
The healthcare crisis in the US has caught national attention because of its high percentage
of GDP spending. Healthcare reform has become a heated topic of discussion. Its key lies in …
of GDP spending. Healthcare reform has become a heated topic of discussion. Its key lies in …
Smart geo-fencing using location sensitive product affinity
In some embodiments, a computing system determines, based on stored user information
retrieved from a mobile user device and associated with a particular user, a location-specific …
retrieved from a mobile user device and associated with a particular user, a location-specific …