Hongmei He

Orcid: 0000-0002-6653-8298

According to our database1, Hongmei He authored at least 52 papers between 2005 and 2024.

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Bibliography

2024
Machine Learning in Oil and Gas Exploration: A Review.
IEEE Access, 2024

2023
Hierarchical Cross-Domain Satellite Resource Management: An Intelligent Collaboration Perspective.
IEEE Trans. Commun., April, 2023

2022
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems.
IEEE Trans. Cogn. Dev. Syst., 2022

A novel navigation system for an autonomous mobile robot in an uncertain environment.
Robotica, 2022

A heuristically self-organised Linguistic Attribute Deep Learning for edge intelligence.
Int. J. Mach. Learn. Cybern., 2022

Learn to Recognize Unknown SAR Targets From Reflection Similarity.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks.
Sensors, 2021

Learnability and robustness of shallow neural networks learned by a performance-driven BP and a variant of PSO for edge decision-making.
Neural Comput. Appl., 2021

Share price prediction of aerospace relevant companies with recurrent neural networks based on PCA.
Expert Syst. Appl., 2021

Analytical Review of Cybersecurity for Embedded Systems.
IEEE Access, 2021

A Novel Approach for Detecting Cyberattacks in Embedded Systems Based on Anomalous Patterns of Resource Utilization-Part I.
IEEE Access, 2021

Mission Structure Learning-Based Resource Allocation in Space Information Networks.
Proceedings of the ICC 2021, 2021

2020
Human motion quality assessment toward sophisticated sports scenes based on deeply-learned 3D CNN model.
J. Vis. Commun. Image Represent., 2020

Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making.
CoRR, 2020

A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence.
CoRR, 2020

An Overview of Web Robots Detection Techniques.
Proceedings of the 2020 International Conference on Cyber Security and Protection of Digital Services, 2020

Vulnerability-Based Impact Criticality Estimation for Industrial Control Systems.
Proceedings of the 2020 International Conference on Cyber Security and Protection of Digital Services, 2020

2019
Human factor security: evaluating the cybersecurity capacity of the industrial workforce.
J. Syst. Inf. Technol., 2019

Online Anomaly Detection of Time Series at Scale.
Proceedings of the International Conference on Cyber Situational Awareness, 2019

2018
Information gain directed genetic algorithm wrapper feature selection for credit rating.
Appl. Soft Comput., 2018

A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm.
Proceedings of the Advances in Computational Intelligence Systems, 2018

How Good a Shallow Neural Network Is for Solving Non-linear Decision Making Problems.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Multi-Capacity Combinatorial Ordering GA in Application to Cloud resources allocation and efficient virtual machines consolidation.
Future Gener. Comput. Syst., 2017

A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Task-oriented distributed data fusion in autonomous wireless sensor networks.
Soft Comput., 2015

Various heuristic algorithms to minimise the two-page crossingnumbers of graphs.
Open Comput. Sci., 2015

A cascade of linguistic CMAC neural networks for decision making.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Prediction of Earnings per Share for Industry.
Proceedings of the KDIR 2015, 2015

2014
Energy awareness workflow model for wireless sensor nodes.
Wirel. Commun. Mob. Comput., 2014

Linguistic Decision Making for Robot Route Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

The linguistic attribute hierarchy and its optimisation for classification.
Soft Comput., 2014

2013
Bisociation networks analysis for business process.
Int. J. Mach. Learn. Cybern., 2013

2012
Bisociative Discovery in Business Process Models.
Proceedings of the Bisociative Knowledge Discovery, 2012

Robot control code generation by task demonstration in a dynamic environment.
Robotics Auton. Syst., 2012

2010
One- and two-page crossing numbers for some types of graphs.
Int. J. Comput. Math., 2010

Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

A k-hyperplane-based neural network for non-linear regression.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Neural Network Model to Minimize the Connected Dominating Set for Self-Configuration of Wireless Sensor Networks.
IEEE Trans. Neural Networks, 2009

A linguistic CMAC equivalent to a Linguistic Decision Tree for classification.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Multi-Attribute Decision Making Based on Label Semantics.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Linguistic attribute hierarchies for downwards propagation of information.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Parallelisation of genetic algorithms for the 2-page crossing number problem.
J. Parallel Distributed Comput., 2007

Genetic algorithms for the 2-page book drawing problem of graphs.
J. Heuristics, 2007

Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
An Improved Neural Network Model for the Two-Page Crossing Number Problem.
IEEE Trans. Neural Networks, 2006

Various Island-based Parallel Genetic Algorithms for the 2-Page Drawing Problem.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2006

A Hopfield Neural Network Model for the Outerplanar Drawing Problem.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2006, 2006

2005
Crossing Minimisation Heuristics for 2-page Drawings.
Electron. Notes Discret. Math., 2005

Outerplanar Crossing Numbers of 3-Row Meshes, Halin Graphs and Complete p-Partite Graphs.
Proceedings of the SOFSEM 2005: Theory and Practice of Computer Science, 2005

Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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