Zhang Qishan
YOU?
Author Swipe
View article: The core competencies in disaster nursing and influencing factors among clinical nurses in Guangzhou: a cross-sectional study based on latent profile analysis
The core competencies in disaster nursing and influencing factors among clinical nurses in Guangzhou: a cross-sectional study based on latent profile analysis Open
ObjectiveTo explore the core competencies in disaster nursing possessed by clinical nurses in Guangzhou, China, and then to uncover the influencing factors that shape these competencies. Methods A cross-sectional design of 1,151 nurses fro…
View article: XWSB: A Blend System Utilizing XLS-R and WavLM with SLS Classifier detection system for SVDD 2024 Challenge
XWSB: A Blend System Utilizing XLS-R and WavLM with SLS Classifier detection system for SVDD 2024 Challenge Open
This paper introduces the model structure used in the SVDD 2024 Challenge. The SVDD 2024 challenge has been introduced this year for the first time. Singing voice deepfake detection (SVDD) which faces complexities due to informal speech in…
View article: The structural and functional investigation into an unusual nitrile synthase
The structural and functional investigation into an unusual nitrile synthase Open
The biosynthesis of neurotoxin aetokthonotoxin (AETX) that features a unique structure of pentabrominated biindole nitrile involves a first-of-its-kind nitrile synthase termed AetD, an enzyme that shares very low sequence identity to known…
View article: Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach
Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach Open
The social recommender system can accurately recommend information to users, according to their interests based on the characteristics of their social network, however, the interaction between users has not been fully captured in the exist…
View article: Identifying Influential Nodes in Complex Networks Based on Multiple Local Attributes and Information Entropy
Identifying Influential Nodes in Complex Networks Based on Multiple Local Attributes and Information Entropy Open
Identifying influential nodes in complex networks has attracted the attention of many researchers in recent years. However, due to the high time complexity, methods based on global attributes have become unsuitable for large-scale complex …
View article: Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints
Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints Open
Purpose. In order to study the impact of grey delivery time uncertainty on customer satisfaction and delivery costs, a vehicle routing problem with grey delivery time windows and multiobjective constraints is defined. Method. The paper fir…
View article: Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models
Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models Open
Purpose . The purpose of this article is to predict the topic popularity on the social network accurately. Indicator selection model for a new definition of topic popularity with degree of grey incidence (DGI) is undertook based on an impr…
View article: Grey theory–based BP-NN co-training for dense sequence long-term tendency prediction
Grey theory–based BP-NN co-training for dense sequence long-term tendency prediction Open
Purpose The purpose of this paper is to solve the problems existing in topic popularity prediction in online social networks and advance a fine-grained and long-term prediction model for lack of sufficient data. Design/methodology/approach…
View article: Deep Learning Techniques for Community Detection in Social Networks
Deep Learning Techniques for Community Detection in Social Networks Open
Graph embedding is an effective yet efficient way to convert graph data into a low dimensional space. In recent years, deep learning has applied on graph embedding and shown outstanding performance. Adjacency matrix is often taken as the s…
View article: Deep Community Detection Method for Social Networks
Deep Community Detection Method for Social Networks Open
With the fast development of the mobile Internet, the online platforms of social networks have rapidly been developing for the purpose of making friends, sharing information, etc. In these online platforms, users being related to each othe…
View article: A Mobile Positioning Method Based on Deep Learning Techniques
A Mobile Positioning Method Based on Deep Learning Techniques Open
This study proposes a mobile positioning method that adopts recurrent neural network algorithms to analyze the received signal strength indications from heterogeneous networks (e.g., cellular networks and Wi-Fi networks) for estimating the…
View article: A Mobile Positioning Method Based on Deep Learning Techniques
A Mobile Positioning Method Based on Deep Learning Techniques Open
This study proposes a mobile positioning method which adopts recurrent neural network algorithms to analyze the received signal strength indications from heterogeneous networks (e.g., cellular networks and Wi-Fi networks) for estimating th…
View article: An effective hybrid particle swarm optimization with Gaussian mutation
An effective hybrid particle swarm optimization with Gaussian mutation Open
A novel hybrid particle swarm optimization variant is proposed, which combines particle swarm optimization with Gaussian mutation operation based on random strategy. It applies Gaussian mutation on the positions of some randomly selected p…
View article: System Dynamics Based Simulation Study On Storage and Distribution Integration of Electronic Commerce Enterprise
System Dynamics Based Simulation Study On Storage and Distribution Integration of Electronic Commerce Enterprise Open
With the strong advocacy of national policies and the rapid development of electronic commerce, offline logistics operation has become the key to efficient and fast e-commerce. This paper will use the system dynamic method to build an inte…