A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm

Z Liu, L Wang, X Li, S Pang - Journal of Manufacturing Systems, 2021 - Elsevier
With the popularity of service-oriented manufacturing mode, the customer quantities of the
online manufacturing service platforms are growing exponentially. To improve the user …

A random forest sub-Golgi protein classifier optimized via dipeptide and amino acid composition features

Z Lv, S **, H Ding, Q Zou - Frontiers in bioengineering and …, 2019 - frontiersin.org
To gain insight into the malfunction of the Golgi apparatus and its relationship to various
genetic and neurodegenerative diseases, the identification of sub-Golgi proteins, both cis …

Offloading decision methods for multiple users with structured tasks in edge computing for smart cities

L Kuang, T Gong, S OuYang, H Gao, S Deng - Future Generation …, 2020 - Elsevier
An edge computing system is an emergent architecture for providing computing, storage,
control, and networking abilities, that is an important technology to realize Internet of Things …

Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor

L Kuang, H Yan, Y Zhu, S Tu, X Fan - Journal of Intelligent …, 2019 - Taylor & Francis
With the development of urbanization, road congestion has become increasingly serious,
and an important cause is the traffic accidents. In this article, we aim to predict the duration of …

[HTML][HTML] Predicting taxi demand based on 3D convolutional neural network and multi-task learning

L Kuang, X Yan, X Tan, S Li, X Yang - Remote Sensing, 2019 - mdpi.com
Taxi demand can be divided into pick-up demand and drop-off demand, which are firmly
related to human's travel habits. Accurately predicting taxi demand is of great significance to …

[HTML][HTML] A hybrid service selection and composition for cloud computing using the adaptive penalty function in genetic and artificial bee colony algorithm

SS Sefati, S Halunga - Sensors, 2022 - mdpi.com
The rapid development of Cloud Computing (CC) has led to the release of many services in
the cloud environment. Service composition awareness of Quality of Service (QoS) is a …

Joint deep networks based multi-source feature learning for QoS prediction

Y **a, D Ding, Z Chang, F Li - IEEE Transactions on Services …, 2021 - ieeexplore.ieee.org
The ever-increasing diversity and dynamic of cloud environment pose many challenges on
QoS prediction in service recommendation. One such challenge is how to extract and learn …

Robust QoS prediction based on reputation integrated graph convolution network

Z Wu, D Ding, Y **u, Y Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the proliferation of Web services, it is very difficult for inexperienced users to select the
most appropriate service among numerous functionally identical or similar candidates, thus …

Fusion of multiple heterogeneous networks for predicting circRNA-disease associations

L Deng, W Zhang, Y Shi, Y Tang - Scientific reports, 2019 - nature.com
Circular RNAs (circRNAs) are a newly identified type of non-coding RNA (ncRNA) that plays
crucial roles in many cellular processes and human diseases, and are potential disease …

Performance improvement of intrusion detection system for detecting attacks on internet of things and edge of things

YK Saheed - Artificial Intelligence for Cloud and Edge Computing, 2022 - Springer
Edge computing (EC) is a computing methodology that is distributed in nature that brings
data storage and computation closer to the place where it is to be used to accelerate …