The widespread dissemination of false information made possible by social networks' universal accessibility and ease of use may be harmful to both individuals and societies. Regrettably, one of the most popular su...
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In the process of engineering project construction, the balanced allocation of resources has an important impact on the purchase of actual materials, the progress of the site construction and the arrangement of tempor...
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More and more attentions have been paid to the value of big data, and the amount of research literature on big data is also increasing exponentially. In this paper, CiteSpace citation analysis software is used as an a...
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This paper mainly discusses how to use the large language models such as GPT and Ernie model combined with the AIGC tools represented by stable diffusion, which uses a random story script to generate images with fixed...
The prime purpose for the image reconstruction of a multi-frame super-resolution is to reconstruct a higher-resolution image through incorporating the knowledge obtained from a series of relevant low-resolution images...
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The prime purpose for the image reconstruction of a multi-frame super-resolution is to reconstruct a higher-resolution image through incorporating the knowledge obtained from a series of relevant low-resolution images,which is useful in ***,super-resolution image reconstruction methods are usually damaged by undesirable restorative artifacts,which include blurring distortion,noises,and stair-casing ***,it is always challenging to achieve balancing between image smoothness and preservation of the edges inside the *** this research work,we seek to increase the effectiveness of multi-frame super-resolution image reconstruction by increasing the visual information and improving the automated machine perception,which improves human analysis and interpretation ***,we propose a new approach to the image reconstruction of multi-frame super-resolution,so that it is created through the use of the regularization *** the proposed approach,the bilateral edge preserving and bilateral total variation regularizations are employed to approximate a high-resolution image generated from a sequence of corresponding images with low-resolution to protect significant features of an image,including sharp image edges and texture details while preventing *** experimental results of the synthesized image demonstrate that the new proposed approach has improved efficacy both visually and numerically more than other approaches.
In an era where artificial intelligence (AI) solutions are increasingly integrated into various sectors, we have utilized Artificial Intelligence for enhancing public safety through realtime detection of illegal activ...
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This piece describes a complicated blockchain-based system for keeping data safe that is not controlled by a single entity. The suggested design is made up of DKM, SCAC, ILE, QRC, and DAE. These stand for Decentralize...
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During the grinding process of metal machine parts requiring a high degree of smoothness, the use of diamond-surfaced grinding tools, specialized grinding stones, or high-hardness metals are common choices. However, d...
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Due to readily available software, anyone can easily manipulate the image and create a piece of false information. Among different types of image forgery, copy-move image forgery is widely practiced due to its sophist...
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Underwater optical imaging produces images with high resolution and abundant information and hence has outstanding advantages in short-distance underwater target ***,low-light and high-noise scenarios pose great chall...
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Underwater optical imaging produces images with high resolution and abundant information and hence has outstanding advantages in short-distance underwater target ***,low-light and high-noise scenarios pose great challenges in un-derwater image and video *** improve the accuracy and anti-noise performance of underwater target image edge detection,an underwater target edge detection method based on ant colony optimization and reinforcement learning is proposed in this ***,the reinforcement learning concept is integrated into artificial ants’movements,and a variable radius sensing strategy is pro-posed to calculate the transition probability of each *** methods aim to avoid undetection and misdetection of some pixels in image ***,a double-population ant colony strategy is proposed,where the search process takes into account global search and local search *** results show that the algorithm can effectively extract the contour information of underwater targets and keep the image texture well and also has ideal anti-interference performance.
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