Unobtrusive sensing and wearable devices for health informatics
The aging population, prevalence of chronic diseases, and outbreaks of infectious diseases
are some of the major challenges of our present-day society. To address these unmet …
are some of the major challenges of our present-day society. To address these unmet …
[HTML][HTML] Deep learning on multi sensor data for counter UAV applications—A systematic review
Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …
applications, as they prove to be both autonomous and flexible in a variety of environments …
[HTML][HTML] An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox
L Jing, T Wang, M Zhao, P Wang - Sensors, 2017 - mdpi.com
A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with
complicated damage detection problems of mechanical systems. Nevertheless, this …
complicated damage detection problems of mechanical systems. Nevertheless, this …
A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments
With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
Heat-assisted detection and ranging
Abstract Machine perception uses advanced sensors to collect information about the
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …
surrounding scene for situational awareness,,,,,–. State-of-the-art machine perception using …
Review of data fusion methods for real-time and multi-sensor traffic flow analysis
SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …
various kinds of data in real-time and from multiple sources, which imposes additional …
[HTML][HTML] Adaptive extreme edge computing for wearable devices
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …
society and economy. Due to the widespread of sensors in pervasive and distributed …
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
The separation of malignant from benign lung nodules on chest computed tomography (CT)
is important for the early detection of lung cancer, since early detection and management …
is important for the early detection of lung cancer, since early detection and management …
[HTML][HTML] Fabric computing: Concepts, opportunities, and challenges
With the advent of the Internet of Everything, people can easily interact with their
environments immersively. The idea of pervasive computing is becoming a reality, but due to …
environments immersively. The idea of pervasive computing is becoming a reality, but due to …