With the rapid development of cloud services, it has become the core driving force for innovation and business development in the digital era. The emerging technology of cloud computing has transformed cloud services from simple resource providers ...

In order to effectively guide the production of coal slime flotation, it is necessary to detect the ash content of the tailings in a timely and accurate manner. Addressing the issues of low accuracy, high parameter count, and lack of model ...

Convolutional neural networks have achieved competitive performance in defocus blur detection (DBD). However, due to the different receptive fields of different convolutional layers, there are distinct differences in the features generated by ...

In this paper, we present a novel upsampling framework to enhance the spatial resolution of the depth image. In our framework, the upscaling of a low-resolution depth image is guided by a corresponding intensity images; we formulate it as a cost ...$\mathrm{}$$\mathrm{}$

Although many competitive approaches have been developed for image deblurring, the priors which rely on natural image are less effective for text images which have special properties, lack of heavy-tailed gradient, and clean background. ...

As the foundation of many applications, multipitch estimation problem has always been the focus of acoustic music processing; however, existing algorithms perform deficiently due to its complexity. In this paper, we employ deep learning to address piano ...

During the past half century, there has been tremendous growth in exploring the chemistry, physics and material science of poly(vinylidene fluoride) (PVDF)-based ferroelectric polymers. With high breakdown strength, easy processing, and ...

A new hybrid data-driven model named PBK has been proposed to improve the event-based rainfall---runoff simulation. The PBK is developed by coupling partial mutual information-based input variable selection (IVS), ensemble back-propagation neural ...

ROO problem consists of many conflictive objectives to be optimized synchronously using -constraint methods.An improved adaptive particle swarm optimization algorithm (IAPSO) is presented.New output constraints handling strategy for ROO problem are ...

Reservoir operation optimization (ROO) is a complicated dynamically constrained nonlinear problem that is important in the context of reservoir system operation. In this study, parallel deterministic dynamic programming (PDDP) and a hierarchical ...

In this article, we propose a new deconvolution algorithm, which is based on image reconstruction from incomplete measurements in Fourier domain. Our algorithm has two steps. First, an initial estimator is obtained using Fourier regularized inverse ...

In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The curvelets is used to perform the multiscale self-adaptive enhancement ...

The performance of face recognition system is greatly affected by the illumination changes. In this article, we propose a method of face illumination compensation based on neural network and wavelet. It sufficiently combines multi-resolution analysis of ...