Recent years have seen a significant amount of transportation data collected from multiple
sources including road sensors, probe, GPS, CCTV and incident reports. Similar to many …

Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

Deep learning, as one of the most currently remarkable machine learning techniques, has
achieved great success in many applications such as image analysis, speech recognition …

Deep autoencoders, and other deep neural networks, have demonstrated their effectiveness
in discovering non-linear features across many problem domains. However, in many real …

With the recent advancement of multilayer convolutional neural networks (CNNs) and fully
connected networks (FCNs), deep learning has achieved amazing success in many areas …

This is a survey paper that aims to give reviews about that finest architectures of machine
learning, the use of algorithms and the applications of the system and speech and vision …

This survey presents a review of state-of-the-art deep neural network architectures,
algorithms, and systems in speech and vision applications. Recent advances in deep …

Vibration signals are generally utilized for machinery fault diagnosis to perform timely
maintenance and then reduce losses. Thus, the feature extraction on one-dimensional …

Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Motion sensors such as accelerometers and gyroscopes measure the instant acceleration
and rotation of a device, in three dimensions. Raw data streams from motion sensors …