Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Wenhua Zeng"'
Publikováno v:
Array, Vol 23, Iss , Pp 100354- (2024)
The task of next basket recommendation is pivotal for recommender systems. It involves predicting user actions, such as the next product purchase or movie selection, by exploring sequential purchase behavior and integrating users’ general preferenc
Externí odkaz:
https://doaj.org/article/65e1618391b6439299e433e74b349eba
Publikováno v:
BMC Bioinformatics, Vol 23, Iss S4, Pp 1-13 (2022)
Abstract Background Anticancer peptide (ACP) inhibits and kills tumor cells. Research on ACP is of great significance for the development of new drugs, and the prediction of ACPs and non-ACPs is the new hotspot. Results We propose a new machine learn
Externí odkaz:
https://doaj.org/article/5cb41c09e10e4ed2b2a391f314e43f0a
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Experimental verification of a drug discovery process is expensive and time-consuming. Therefore, recently, the demand to more efficiently and effectively identify drug–target interactions (DTIs) has intensified. Results We trea
Externí odkaz:
https://doaj.org/article/45ca5360d403433b8f68378e784b6a64
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Background: Modern lifestyles mean that people are more likely to suffer from some form of cancer. As anticancer peptides can effectively kill cancer cells and play an important role in fighting cancer, they have been a subject of increasing research
Externí odkaz:
https://doaj.org/article/bd0750b53eac42278c640bf27f39d107
Publikováno v:
IEEE Access, Vol 7, Pp 56117-56128 (2019)
As living data growing and evolving rapidly, traditional machine learning algorithms are hard to update models when dealing with new training data. When new data arrives, traditional collaborative filtering methods have to train their model from scra
Externí odkaz:
https://doaj.org/article/b675a1b3c32644d08fbebe8fe84b14ea
Publikováno v:
IEEE Access, Vol 7, Pp 86625-86634 (2019)
Microbe-RNAs (miRNAs) play an important role and are associated with human diseases. However, considering the high cost and time-consuming biological experiments, using effective computational methods to discover the underlying association between th
Externí odkaz:
https://doaj.org/article/ae19d0f6b117428ab40cc28c66bc7831
Publikováno v:
Journal of Risk Analysis and Crisis Response (JRACR), Vol 5, Iss 4 (2015)
In this paper, the runoff of Huayuankou and Lijin Hydrologic Stations of the downstream areas of the Yellow River from 1951 to 2012 were calculated and analyzed in order to explore the runoff variable characteristics and their response to climatic fa
Externí odkaz:
https://doaj.org/article/5ea5ab4b23244d0f969d233e7889e741
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
An enhanced differential evolution based algorithm, named multi-objective differential evolution with simulated annealing algorithm (MODESA), is presented for solving multiobjective optimization problems (MOPs). The proposed algorithm utilizes the ad
Externí odkaz:
https://doaj.org/article/76bebb8e8f414cfea98afa3c99fe9b4f
Publikováno v:
ACS Applied Materials & Interfaces. 15:16118-16131
Publikováno v:
Journal of Parallel and Distributed Computing. 171:28-39