Add to ORKGNowadays, mobile devices are ubiquitous in modern life as they allow users to perform virtually any task, from checking e-mails to playing video games. However, many of these operations are conditioned by the state of mobile devices. Therefore, knowing the current state of mobile devices and predicting their future states is a crucial issue in different domains, such as context-aware applications or ad-hoc networking. Several authors have proposed to use different machine learning methods for predicting some aspect of mobile devices´ future states. This work aims at predicting mobile devices´ battery charge, whether it is plugged to A/C, and screen and WiFi state. To fulfil this goal, the current state of a mobile device can be regarded as ...
With self-provisioning of resources as premise, dew computing aims at providing computing services b...
This work proposes a deep learning-based model for predicting the lifetime of power devices subjecte...
Technology development for batteries has been one of the major challenges to tackle in the progress ...
Enhancing the accuracy of the battery state of charge (SOC) estimation is essential in developing mo...
The precise estimation of the state of charge (SOC) is fundamental to the reliable operation of lith...
Abstract—Within the past decade, mobile computing has morphed into a principal form of human communi...
Lithium-Ion (Li-Ion) batteries are gaining remarkable popularity, due to their chemical ability to m...
This paper presents a practical usability investigation of recurrent neural networks (RNNs) to deter...
To save battery, consumer devices, e.g., laptops, smartphones, etc., enter low-power states based on...
The decision to move a mobile device to dormant radio resource state is typically driven by the mobi...
Future generation networks (5G) will bring a new paradigm to network management, as the networks the...
Nowadays mobile devices are used for various applications such as making voice/video calls, browsing...
Within the past decade, mobile computing has morphed into a principal form of human communication, b...
[Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critica...
Today’s mobile phones are far from the mere communication devices they were 10 years ago. Equipped w...
With self-provisioning of resources as premise, dew computing aims at providing computing services b...
This work proposes a deep learning-based model for predicting the lifetime of power devices subjecte...
Technology development for batteries has been one of the major challenges to tackle in the progress ...
Enhancing the accuracy of the battery state of charge (SOC) estimation is essential in developing mo...
The precise estimation of the state of charge (SOC) is fundamental to the reliable operation of lith...
Abstract—Within the past decade, mobile computing has morphed into a principal form of human communi...
Lithium-Ion (Li-Ion) batteries are gaining remarkable popularity, due to their chemical ability to m...
This paper presents a practical usability investigation of recurrent neural networks (RNNs) to deter...
To save battery, consumer devices, e.g., laptops, smartphones, etc., enter low-power states based on...
The decision to move a mobile device to dormant radio resource state is typically driven by the mobi...
Future generation networks (5G) will bring a new paradigm to network management, as the networks the...
Nowadays mobile devices are used for various applications such as making voice/video calls, browsing...
Within the past decade, mobile computing has morphed into a principal form of human communication, b...
[Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critica...
Today’s mobile phones are far from the mere communication devices they were 10 years ago. Equipped w...
With self-provisioning of resources as premise, dew computing aims at providing computing services b...
This work proposes a deep learning-based model for predicting the lifetime of power devices subjecte...
Technology development for batteries has been one of the major challenges to tackle in the progress ...