Neural Processing Letters

People give more importance concerning the overall quality of the modernized ecosystem. The pollution of air is one of the significant problems to be resolved as it restricted the ecological transformation of the modernized ecosystem. Therefore, ...

In today’s industrial production process, in order to keep the product quality unchanged or improve and keep the production operation in a continuous and stable state, the real-time monitoring of process variables of product quality becomes more ...

With the development of urban road construction in China, urban road landscape design is also making progress. Aesthetic design is a kind of behavior that does not depend on the subjectivity of science. When this process is going on, we need to ...

Image recognition technology is one of the important research topics in the field of computer vision, which has been widely used in face recognition, aircraft recognition and unmanned driving. As an important research field of computer vision, ...

In view of China’s economy achieves rapid development, technology and science change with each passing day and gradually integrate into our life. Accustomed to the intelligent age, higher requirements caused by the design of public facilities is ...

The computerized examination of mammograms in the breast cancer prevention is gaining much importance. The paper which is introduced proposes an adequate mammogram image retrieval methodology utilizing the optimized classifier. At first, the info ...

With the rapid development of China’s national economy, the effects of traditional public security management methods have been greatly weakened, and various new types of criminal activities have continued to occur. Social development has ...

With the rapid development of society, the improvement of material level and the current situation of the large-scale population flow in China, the awareness of security is becoming more and more important in people’s life. With the rapid ...

The primary objective of this paper is to develop a methodology for brain tumor segmentation. Nowadays, brain tumor recognition and fragmentation is one among the pivotal procedure in surgical and medication planning arrangements. It is difficult ...

With the advent of multimedia technology, the application fields of computers are further broadened, such as computers widely used in video conferencing, video telephony, shopping mall shopping guides, tour guides, computer-aided integrated ...

In this paper, extreme learning machine (ELM) method is used to classify the faults of fuel system. Although the learning speed of ELM is fast, its classification accuracy and generalization ability need to be improved. Bat Algorithm has a strong ...

The automatic segmentation of the tumor region from Magnetic Resonance cerebrum imageries is a difficult task in medical image analysis. Numerous techniques have been created with the goal of improving the segmentation effectiveness of the ...

With the rapid development of Internet information technology, image data is explosively growing. How to quickly and effectively acquire and manage these image information has become a research hotspot in the computer field. It is precisely ...

In order to improve the performance of semi-supervised learning, a safe semi-supervised classification algorithm using multiple classifiers ensemble (S3C-MC) is proposed. First, unlabeled samples are filtered and unlabeled samples with small ...

The symptoms of cancer normally appear only in the advanced stages, so it is very hard to detect resulting in a high mortality rate among the other types of cancers. Thus, there is a need for early prediction of lung cancer for the purpose of ...

A set of coupled Kuramoto oscillators is the main applied model for harmonization study of oscillating phenomena in physical, biological and engineering networks. In line with the previous studies and to bring the analytical results into ...

Diagnosing Alzheimer’s Disease (AD) in older people using magnetic resonance imaging (MRI) is quite hard since it requires the extraction of highly discriminative feature representation from similar brain patterns and pixel intensities. However, ...

Deep learning is increasingly studied in the prediction of cancer yet few deep learning systems have been introduced for daily use for such purpose. The manual scanning, reading, and analysis by radiologists to detect cancer are very time-...

The authors have developed an efficient method with the Fibonacci neural network’s help to solve the fractional-order reaction-diffusion equation in the present article. The Fibonacci neural network consists of an input layer with one perceptron, ...$$

Video-deblurring has achieved excellent results by using deep learning approaches. How to capture the dynamic spatio-temporal information in the videos is crucial on deblurring. In this paper, we propose a two-stream DeblurGAN which combines a 3D ...

Accurately acquiring cloud information through cloud images segmentation is of great importance for weather forecasting, environmental monitoring, sites selection of observatory and analysis of climate evolution. In this paper, a cloud ...

In this paper, the adaptive synchronization control and synchronization-based parameters identification method for time-varying delayed fractional chaotic neural networks are proposed. Based on the adaptive control with suitable update law and ...

In recent years,object detection and data association have getting remarkable progress which are the core components for multi-object tracking. In multi-object tracking field,the main strategy is tracking-by-detection. Although the detection based ...

This paper proposed a coupled model of effective feature extraction and optimized classifier, which can overcome the existing problems of coal and gas outbursts classification in the literatures. Firstly, we support the use of kernel principal ...

In this paper, we propose an effective neural network algorithm to perform singular value decomposition (SVD) of a cross-correlation matrix between two data streams. Different from traditional algorithms, the newly proposed algorithm can extract ...

Detecting temporal actions in long and untrimmed videos is a challenging and important field in computer vision. Generating high-quality proposals is a key step in temporal action detection. A high-quality proposal usually contains two main ...

Rapid developments in processors and radio technology have led to the emergence of small sensor nodes capable of communicating in wireless sensor networks (WSNs). Nodes in WSN transmit data using multi-hop routing and based on cooperation with ...

Recently, multi-scale feature fusion has been considered as one of the most important issues in designing convolutional neural networks (CNNs). However, most existing methods directly add the corresponding layers together without considering the ...

Motivated by the increasing complexity and operational productivity of industrial processes, the need for efficient modeling schemes for industrial systems is highly demanded. This study presents a new simulator model for a real winding process ...