Titlebook: Artificial Intelligence and Robotics; Huimin Lu Book 2021 Springer Nature Switzerland AG 2021 Computational Intelligence.Intelligent Syste

originality

Spinal-Tap

Optimal Scheduling of IoT Tasks in Cloud-Fog Computing Networks, due to their real-time requirements. Fog computing aims at forming the idle edge devices that are in the vicinity of IoT end devices as instantaneous small-scale Fog networks (Fogs), so as to provide one-hop services to satisfy the real-time requirement. Since Fogs may consist of only wireless node

gospel

意見一致

Object-Level Matching for Multi-source Image Using Improved Dictionary Learning Algorithm,ferent multi-source images, we propose a new method of object-level matching for multi-source image based on improved dictionary learning. Two main steps, unified representation and similarity measure, are contained. Firstly, we complete the unified representation of multi-source images by improved

讓步

Classification of Hyperspectral Image Based on Shadow Enhancement by Dynamic Stochastic Resonance,nce (DSR) theory has proved that the noise contained in the signal can enhance the strength of the original signal and improve the signal-to-noise ratio (SNR). And it has been applied in signal and image processing,communication and other fields. In this paper, DSR theory is introduced to the shadow

Provenance

Generative Image Inpainting,ach for image inpainting in this paper. The completion model contains one generator and double discriminators. The generator is the architecture of AutoEncoders with skip connection and the discriminators are simple convolutional neural networks architecture. Wasserstein GAN loss is used to ensure o

戲服

Rice Growth Prediction Based on Periodic Growth,finition of rice growth quantity, which takes into account the periodic growth and the key growth indexes of each stage, so as to characterize the growth of rice in each growing period. Elman neural network was used to determine the relationship between environmental factors and growth in each growt

dainty

A Multi-scale Progressive Method of Image Super-Resolution,cy details, which is insufficient to reconstruct high-resolution image. To address this problem, we propose a multi-scale progressive image super-resolution reconstruction network (MSPN) based on the asymmetric Laplacian pyramid structure. Our proposed network allows us to separate the difficult pro

BROTH

Track Related Bursty Topics in Weibo,n Weibo, but cannot track the related bursty topics. Based on the time series of Weibo, the binary word pair is used for topic modeling and the bursty topics in the Weibo are extracted to form a new topic set. And then, the similarity of the topics in adjacent time periods can be calculated by KL me

Ardent