Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Fangai Liu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract This paper presents a novel distributed assembly permutation flowshop scheduling problem (DAPFSP) based on practical problems in automobile production. Different from the existing research on DAPFSP, this study considers that each component
Externí odkaz:
https://doaj.org/article/27f88437a66f44cfa5e4ecf22e1b5b19
Autor:
Jianhua Hao, Fangai Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Improving the accuracy of long-term multivariate time series forecasting is important for practical applications. Various Transformer-based solutions emerging for time series forecasting. Recently, some studies have verified that the most Tr
Externí odkaz:
https://doaj.org/article/cf51b7f442f149e6a0b357a8bca76ae7
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8076 (2022)
Multimodality has been widely used for sentiment analysis tasks, especially for speech sentiment analysis. Compared with the emotion expression of most text languages, speech is more intuitive for human emotion, as speech contains more and richer emo
Externí odkaz:
https://doaj.org/article/c6f9d718c13d49aa9bd896d8b6f5a604
Publikováno v:
IEEE Access, Vol 7, Pp 82826-82837 (2019)
To deal with the inherent data sparsity and cold-start problem, many recommender systems try to exploit the textual information for improving prediction accuracy. Due to the significant progress of deep learning techniques, neural network-based conte
Externí odkaz:
https://doaj.org/article/3ac0ce22a727426dacef179bd6f4f92b
Publikováno v:
IEEE Access, Vol 7, Pp 71607-71615 (2019)
Convolutional Neural Networks (CNNs) have become one of the most successful machine learning techniques for image and video processing. The most computationally intensive part of the CNN is the convolutional layers, which have the multi-channel image
Externí odkaz:
https://doaj.org/article/0eb6214e3b6a4944bf51a15f1fb01065
Publikováno v:
IEEE Access, Vol 6, Pp 10151-10159 (2018)
Motion estimation (ME) is a kernel algorithm in many video applications. Full search integer ME (FSIME) can find the best result but it usually takes plenty of time. Traditionally, only intra-frame data reuse is considered for FSIME. In this paper, a
Externí odkaz:
https://doaj.org/article/ecbac777a91542f3a0adbb8802ae46ff
Publikováno v:
IEEE Access, Vol 6, Pp 68525-68534 (2018)
Motion estimation (ME) is a time-consuming algorithm to find a matching block in the search area for video applications, such as video compression. Motion estimation algorithm includes full search algorithm and fast search algorithm. If the width of
Externí odkaz:
https://doaj.org/article/dafd6719c7624760aec92278f143f9eb
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223967 (2019)
Collaborative filtering (CF) is a common recommendation mechanism that relies on user-item ratings. However, the intrinsic sparsity of user-item rating data can be problematic in many domains and settings, limiting the ability to generate accurate pr
Externí odkaz:
https://doaj.org/article/dae1134cbca0493898d82d1f67cd0672
Publikováno v:
Information, Vol 12, Iss 5, p 198 (2021)
Digital library as one of the most important ways in helping students acquire professional knowledge and improve their professional level has gained great attention in recent years. However, its large collection (especially the book resources) hinder
Externí odkaz:
https://doaj.org/article/4ac92bb218cf469687cb00f7ad904f24
Autor:
Yue Zhang, Fangai Liu
Publikováno v:
Future Internet, Vol 12, Iss 11, p 188 (2020)
A deep belief network (DBN) is a powerful generative model based on unlabeled data. However, it is difficult to quickly determine the best network structure and gradient dispersion in traditional DBN. This paper proposes an improved deep belief netwo
Externí odkaz:
https://doaj.org/article/ff2e418c3f7b4710b0723fd903bc5abb