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In this work numerical simulations performed on mobile devices equipped with ARM microprocessors are shown.
The availability of Internet capable mobile devices equipped with various sensors has simplified and liberalized the generation of large amounts of multimedia data.
Accessing mobile services through mobile devices equipped with powerful operating systems and a myriad of applications (Apps) such as smart phones or tablet computers are very handy and convenient.
Although mobile devices equipped with drug reference software may help prevent adverse drug events (ADEs) in the nursing home (NH) by providing medication information at the point of care, little is known about their use and perceived benefits.
Since mobile devices equipped with VLC modules have limited resources, the high computational complexity is a huge disadvantage.
Most people have noticed field workers using mobile devices equipped with industry-specific apps (everyone from rental-car agents to home contractors) to complete tasks on the go.
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All that is needed is a laptop or mobile device equipped for Wi-Fi or retrofitted with a Wi-Fi card, and proximity to a Wi-Fi beacon known as a hot spot.
However, it requires the mobile device equipped with GPS, and it can work well only if there are enough APs to provide excellent coverage.
Starting out as services only for the biggest enterprises that could afford expensive equipment and software, eventually videoconferencing offerings trickled down to Internet-based, mass-market products for anyone (business or consumer) to use with a connected PC or mobile device equipped with a microphone and camera.
Current mobile devices are equipped with sensors and have sufficient processing power to use augmented reality technologies.
In such a context, mobile devices are equipped with multiple radio interfaces allowing connectivity to the most suitable network environment based on users' requirements and operators' policies.
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