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Special issue on trends & advances to mine intelligence from ambient data
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An enhanced ride sharing model based on human characteristics, machine learning recommender system, and user threshold time
The ubiquitous availability of the Internet and advanced computing systems has resulted in the rapid development of smart cities. From connected devices to live vehicle tracking, technology is taking the field...
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STIMF: a smart traffic incident management framework
Non-recurrent congestion, which is mainly due to traffic incidents, may seriously impact the performance and operation of a traffic system. Reacting quickly and in a uniform and structured way is vital. In par...
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Applications of machine learning in pervasive systems
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A microsimulation-based analysis for driving behaviour modelling on a congested expressway
Recently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. On...
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Special issue on advances in ambient intelligence and pervasive computing
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Acknowledgment scheme using cloud for node networks with energy-aware hybrid scheduling strategy
Cloud computing is attracting a lot of traffic on the Internet. Due to the distributed nature of the ad hoc networks, there is no clear path for the communication between nodes. Additionally, there is no centr...
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Special issue on ubiquitous computing in the IoT revolution
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EyeCom: an IoT based affordable wearable solution for paralyzed people to interact with machines
The world is innovating rapidly, and there is a need for continuous interaction with technology. Sadly, there do not exist promising options for paralyzed people to interact with the machines, i.e., laptops, s...
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Guest editorial: towards enhancing ambient systems, networks and technologies
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Agent based routing approach to support structural health monitoring-informed, intelligent transportation system
In structural health monitoring (SHM)-informed intelligent transportation systems (ITS) system, SHM sensors can provide data on a bridge health condition for ITS applications. Where ITS uses this bridge health...
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Special issue on ubiquitous computing and NextGen context-fusion
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Special issue on ambient systems, networks and technologies
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Towards augmenting ambient systems networks and technologies
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Innovations for future systems
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Performance evaluation of counter selection techniques to detect discontinuity in large-scale-systems
Cloud providers and data centres rely heavily on forecasts to accurately predict future workload. This information helps them in appropriate virtualization and cost-effective provisioning of the infrastructure...
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Detecting performance anomalies in large-scale software systems using entropy
Large-scale software systems (LSSs) are composed of hundreds of subsystems that interact with each other in an unforeseen and complex ways. The operators of these LSSs strictly monitor thousands of metrics (pe...
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Methodologies for driving ambient systems
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Emerging technologies in ambient systems
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Connecting the dots: anomaly and discontinuity detection in large-scale systems
Cloud providers and data centers rely heavily on forecasts to accurately predict future workload. This information helps them in appropriate virtualization and cost-effective provisioning of the infrastructure...