AbstractCost-effective depth and infrared sensors as alternatives to usual RGB are now a reality, have some advantages over in domains like autonomous navigation remote sensing. As such, building computer vision deep learning systems for data crucial. However, large labeled datasets these modalities still lacking. In such cases, transferring knowledge from neural network trained on well-labeled...

Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not suitable for collaborative intelligence (CI) scenarios. In this work, we propose network with deep joint source-channel coding (JSCC) framework, which allows operating under CI We first feature fusion based (FFMNet) o...

In response to the continuing problem of noise induced hearing loss (NIHL) among mine workers, the National Institute for Occupational Safety and Health (NIOSH) has conducted numerous noise surveys in coal preparation plants. The research, consisting of worker dose monitoring, task observations, and equipment noise profiling, was completed in eight separate preparation plants. Worker dose monit...

Monitoring is an important task in managing a Cloud Computing environment. But its implementation may result in added software complexity and altering of the offered cloud services. In this paper we demonstrate a monitoring approach called AOP4CSM (Aspect Oriented Programming for Cloud Service Monitoring) which monitors the qualityof-service parameters and provides fault tolerance to the Softwa...

this article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of english as a foreign language (efl). the study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...