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We consider the problem of image-to-video translation, where an input image is translated into an output video containing motions of a single object. Recent methods for such problems typically train transformation networks to generate future ...

Generating multi-view images from a single-view input is an essential yet challenging problem. It has broad applications in vision, graphics, and robotics. Our study indicates that the widely-used generative adversarial network (GAN) may learn "...

By leveraging direct device-to-device interaction, LTE vehicle-to-vehicle (V2V) communication becomes a promising solution to meet the stringent requirements of vehicular communication. In this paper, we propose jointly optimizing the radio resource, ...

With the rapid development of machine-to-machine (M2M) applications, there is an explosion in the number of M2M devices emerging in the network. It poses a significant challenge for the network to support random access requests of a ...

The traditional fuzzy neural network often uses BP algorithm to optimize parameters when conducting parameter identification. However, BP algorithm tends to be trapped in local extremum. In view of the shortcomings of this method, this paper combines ...

In conventional schedule‐based wireless transmission system, frequent interactions between devices and access networks lead to significant signalling overhead, and thus limit the development of low‐latency applications. Contention‐based data transmission (...

Wireless energy transfer is a promising technique to power sensors and mobile devices in order to perform functions beyond the constraints of their batteries. We envision that future ultra-dense heterogeneous networks (UDHetNets) are capable of ...

This SpringerBrief focuses mainlyon the basic theory and applications ofmassive MIMO in 5G networks. The significanceof massive MIMO for 5G or futurecommunications is first briefly discussed. Then, the basic theory of massive MIMOtechnology is ...

In this study, a multi-frequency statistical algorithm is proposed for retrieving surface soil temperature <inline-formula id="ILM0001"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" href="tres_a_1363438_ilm0001.gif"/></inline-formula> from ...

The k-means algorithm is a popular clustering method for image segmentation. However, the main disadvantage of this algorithm is its dependence on the number of initial clusters. In this paper, we present an optimal criterion which can select the best ...

Negative sequential patterns (NSP) become increasingly important and most of the existing methods introduce so strict constraints that many meaningful patterns would be lost. In this paper, we loosen these constraints and solve a series of consequent ...

We consider a system where a source node communicates with a destination node with the assistance of a wireless energy-powered full-duplex relay node. The relay node splits its received signal into two components for energy harvesting and information ...

With the support of modern dam facilities, many dams are equipped with multiple cameras. A large number of labeled images can be provided by the crack extraction process. But the most existed dam crack detection algorithms are based on one image. A new ...

Telecom customer churn data is not publicly available because involving users' personal privacy. In 2009, the French telecommunications company Orange for knowledge discovery and data mining (KDD) competition provides a telecom customer churn data set ...

The control–data separation architecture (CDSA) has been regarded as a promising solution to effectively manage the heterogeneous network (HetNet) in the fifth‐generation mobile communication systems. Thus, this study investigates the resource allocation ...

To improve the energy efficiency of multi‐cell massive multiple‐input–multiple‐output system while guaranteeing the information transmission quality, this study proposes a dual‐layer coordinated beamforming scheme. In the proposed scheme, the beamformer ...

Feature selection is an important step dealing with high dimensional data. In order to select categories related features, the importance of feature need to be measured. The existing importance measure algorithms can't reflect different distributions of ...

Pedestrian dead reckoning (PDR) is a promising complementary technique to balance the requirements on both accuracy and costs in outdoor and indoor positioning systems. In this paper, we propose a unified framework to comprehensively tackle the three ...

This paper reports a new method to fabricate microresistors for applications in micro-electromechanical systems. The fabrication is based on ultraviolet (UV) lithography and micromolding replication. A master mold was first made using UV lithography of ...

Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak ...