Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform
Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques […]
Binarization of music score with complex background by deep convolutional neural networks
Binarization is an important step for most of document analysis systems. Regarding music score images with a complex background, the existence of […]
Recognizing Spontaneous Micro-Expression Using a Three-Stream Convolutional Neural Network
Micro-expression recognition (MER) has attracted much attention with various practical applications, particularly in clinical diagnosis and interrogations. In this paper, we propose […]
Deep Learning for Generic Object Detection
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number […]
A Convolutional Neural Network Approach for Classification of LPWAN Technologies
This paper presents a Convolutional Neural Network (CNN) approach for classification of low power wide area network (LPWAN) technologies such as Sigfox, […]
On the use of distributed semantics of tweet metadata for user age prediction
Social media data represent an important resource for behavioral analysis of the aging population. This paper addresses the problem of age prediction […]
A Streaming Cloud Platform for Real-Time Video Processing on Embedded Devices
Real-time intelligent video processing on embedded devices with low power consumption can be useful for applications like drone surveillance, smart cars, and […]
On the use of URLs and hashtags in age prediction of Twitter users
Social media data represent an important resource for behavioral analysis of the ageing population. This paper addresses the problem of age prediction […]