Articles with "learning mobile" as a keyword



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Enhancing L2 learning through a mobile assisted spaced-repetition tool: an effective but bitter pill?

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Published in 2019 at "Computer Assisted Language Learning"

DOI: 10.1080/09588221.2018.1552975

Abstract: Abstract We tested the effectiveness of the spaced-repetition flashcard application, Anki, on improving 62 university-level learners’ second language (L2) learning in a semester-long beginning Spanish course. Using effective study strategies is critical for L2 learning,… read more here.

Keywords: spaced repetition; repetition; mobile assisted; assisted spaced ... See more keywords

Multicore Federated Learning for Mobile-Edge Computing Platforms

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Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3224239

Abstract: With increasingly strict data privacy regulations, federated learning (FL) has become one of the most often heard machine learning techniques due to its privacy-preserving trait. To efficiently implement the FL intelligence, researchers recently resort to… read more here.

Keywords: mobile edge; multicore federated; learning mobile; federated learning ... See more keywords
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On-Device Deep Learning for Mobile and Wearable Sensing Applications: A Review

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Published in 2023 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2023.3240854

Abstract: Although running deep-learning (DL) algorithms is challenging due to resource constraints on mobile and wearable devices, they provide performance improvements compared to lightweight or shallow architectures. The widespread application areas for on-device DL include computer… read more here.

Keywords: wearable sensing; learning mobile; sensing applications; deep learning ... See more keywords
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Robot Learning of Mobile Manipulation With Reachability Behavior Priors

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Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3188109

Abstract: Mobile Manipulation (MM) systems are ideal candidates for taking up the role of personal assistants in unstructured real-world environments. Among other challenges, Mobile Manipulation (MM) requires effective coordination of the robot’s embodiments for executing tasks… read more here.

Keywords: reachability; learning mobile; manipulation; policy ... See more keywords
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Learning Mobile Communications Standards through Flexible Software Defined Radio Base Stations

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Published in 2017 at "IEEE Communications Magazine"

DOI: 10.1109/mcom.2017.1601219

Abstract: Mobile communications are today widespread and contribute to the development of our society. Every day new devices include some means of wireless transmission, which is becoming ubiquitous with the Internet of Things. These systems are… read more here.

Keywords: communications standards; mobile communications; flexible software; software ... See more keywords
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Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

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Published in 2019 at "IEEE Vehicular Technology Magazine"

DOI: 10.1109/mvt.2019.2903655

Abstract: Future-generation wireless networks (5G and beyond) must accommodate surging growth in mobile data traffic and support an increasingly high density of mobile users involving a variety of services and applications. Meanwhile, the networks become increasingly… read more here.

Keywords: learning mobile; reinforcement learning; mobile beyond; deep reinforcement ... See more keywords