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A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm
With the popularity of service-oriented manufacturing mode, the customer quantities of the
online manufacturing service platforms are growing exponentially. To improve the user …
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
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 …
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
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 …
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 …
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 …
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
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 …
the cloud environment. Service composition awareness of Quality of Service (QoS) is a …
Joint deep networks based multi-source feature learning for QoS prediction
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 …
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 …
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 …
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 …
data storage and computation closer to the place where it is to be used to accelerate …