Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Lingyun XIANG"'
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Short text semantic similarity is a crucial research area in nature language processing, which is used to predict the similarity between two sentences. Due to the sparsity features of short texts, words are isolated in the sentence and the correlatio
Externí odkaz:
https://doaj.org/article/2e0b2d0c0e6a4cfdbf704bbc290efa2c
Publikováno v:
Tongxin xuebao, Vol 45, Pp 213-224 (2024)
To address the problems of limited number of substitutable words and low watermark extraction efficiency in the existing natural language digital watermarking methods, a creative method based on context word prediction and window compression coding w
Externí odkaz:
https://doaj.org/article/862d86f12d624501a6e2ed66aed066a6
Publikováno v:
网络与信息安全学报, Vol 8, Pp 110-122 (2022)
Image inpainting is a technique that uses information from known areas of an image to repair missing or damaged areas of the image.Image editing software based on it has made it easy to edit and modify the content of digital images without any specia
Externí odkaz:
https://doaj.org/article/ac58767e0dc54239aec6def2f9786107
Publikováno v:
IET Image Processing, Vol 16, Iss 10, Pp 2722-2737 (2022)
Abstract Deep learning approaches to interactive image segmentation are typically formulated as a binary labeling problem. A model trained to make predictions within a fixed set of labels (i.e., foreground and background labels) cannot be used to dir
Externí odkaz:
https://doaj.org/article/ac3afddc2fce402d8368c67a8ac02685
Autor:
Hong Hu, Lei Li, Feng Gao, Wentao Diao, Huan Ma, Fei Feng, Shujing Quan, Lingyun Xiang, Xiujiang Zhang
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
3-Methylindole is a major component of organic pollutants in livestock compost, which can contribute to the deterioration of the environment in livestock farms and their surrounding areas. This study demonstrates that using microorganisms to degrade
Externí odkaz:
https://doaj.org/article/b547dc17e70d4f12902f681e683c90df
Publikováno v:
IEEE Access, Vol 8, Pp 101224-101234 (2020)
Flexible manifold embedding (FME) has been recognized as an effective method for face recognition by integrating both class label information from labeled data and manifold structure information of all data. In order to achieve better performance, th
Externí odkaz:
https://doaj.org/article/8e87d610aea448fe9b78bbdfc71bd663
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 2, Pp 1041-1058 (2020)
In this paper, a linguistic steganalysis method based on two-level cascaded convolutional neural networks (CNNs) is proposed to improve the system's ability to detect stego texts, which are generated via synonym substitutions. The first-level network
Externí odkaz:
https://doaj.org/article/d95a25cf7d5e450fa6bf03f8853d70cf
Publikováno v:
IEEE Access, Vol 7, Pp 87534-87542 (2019)
Citrus is one of the most widely cultivated fruit in the world. However, citrus diseases are becoming more and more serious, which has caused substantial economic losses to citrus growers. With the rapid developments of mobile device, mobile services
Externí odkaz:
https://doaj.org/article/98cfc0144f1b47ffbed7726be93eb621
Publikováno v:
IEEE Access, Vol 7, Pp 80542-80551 (2019)
Paraphrase generation can help with both downstream tasks in natural language processing (NLP) and human writing in our daily life. Most of the prevalent neural models focus on the former usages and generate uncontrolled paraphrase while they ignore
Externí odkaz:
https://doaj.org/article/99e753e610e14454aabb6f04afe7ebe6
Publikováno v:
IEEE Access, Vol 6, Pp 35305-35315 (2018)
Advanced unsupervised learning techniques are an emerging challenge in the big data era due to the increasing requirements of extracting knowledge from a large amount of unlabeled heterogeneous data. Recently, many efforts of unsupervised learning ha
Externí odkaz:
https://doaj.org/article/b03dde02e29940979b5a6c67461201d0