A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Mobility support for millimeter wave communications: Opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
Dynamic service placement in multi-access edge computing: A systematic literature review
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …
autonomous driving, and healthcare has introduced infrastructure management challenges …
Impacts of mobility models on RPL-based mobile IoT infrastructures: An evaluative comparison and survey
With the widespread use of IoT applications and the increasing trend in the number of
connected smart devices, the concept of routing has become very challenging. In this …
connected smart devices, the concept of routing has become very challenging. In this …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
Optimal time-varying vaccine allocation amid pandemics with uncertain immunity ratios
There is a concerted effort to develop vaccines to combat the public health crisis caused by
COVID-19. Health experts are raising questions concerning the clinical trials, price and …
COVID-19. Health experts are raising questions concerning the clinical trials, price and …
Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA
We introduce and validate the use of commercially available human mobility datasets based
on cell phone locations to estimate visitation to natural areas. By combining this data with on …
on cell phone locations to estimate visitation to natural areas. By combining this data with on …
Smartphone data classification technique for detecting the usage of public or private transportation modes
One of the main endeavors of smart cities is the organization and subsidization of public
transportation. To achieve this, it is important to obtain information about the way in which …
transportation. To achieve this, it is important to obtain information about the way in which …
Predicting merchant future performance using privacy-safe network-based features
Abstract Small and Medium-sized Enterprises play a significant role in most economies by
contributing to job creation and economic growth. A majority of such merchants rely on …
contributing to job creation and economic growth. A majority of such merchants rely on …
Smartspec: Customizable smart space datasets via event-driven simulations
This paper presents SmartSPEC, an approach to generate customizable smart space
datasets using sensorized spaces in which people and events are embedded. Smart space …
datasets using sensorized spaces in which people and events are embedded. Smart space …