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2020 – today
- 2024
[j30]Ahmad Lawal
, Yingjie Yang, Hongmei He, Nathanael L. Baisa:
Machine Learning in Oil and Gas Exploration: A Review. IEEE Access 12: 19035-19058 (2024)- 2023
- [j29]Qian-Ru Wei, Cheng-Yu Chen, Mingyi He, Hongmei He:
Zero-Shot SAR Target Recognition Based on Classification Assistance. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j28]Hongmei He, Di Zhou, Min Sheng, Jiandong Li:
Hierarchical Cross-Domain Satellite Resource Management: An Intelligent Collaboration Perspective. IEEE Trans. Commun. 71(4): 2201-2215 (2023) - 2022
- [j27]Qian-Ru Wei, Hongmei He, Yuan Zhao, Jia-Ang Li:
Learn to Recognize Unknown SAR Targets From Reflection Similarity. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j26]Hongmei He, Zhenhuan Zhu:
A heuristically self-organised Linguistic Attribute Deep Learning for edge intelligence. Int. J. Mach. Learn. Cybern. 13(9): 2559-2579 (2022) - [j25]Meng-Yuan Chen, Yong Jian Wu, Hongmei He:
A novel navigation system for an autonomous mobile robot in an uncertain environment. Robotica 40(3): 421-446 (2022) - [j24]Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen:
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems. IEEE Trans. Cogn. Dev. Syst. 14(4): 1398-1412 (2022) - 2021
- [j23]Abdulmohsan Aloseel, Hongmei He, Carl Shaw, Muhammad A. Khan:
Analytical Review of Cybersecurity for Embedded Systems. IEEE Access 9: 961-982 (2021) - [j22]Abdulmohsan Aloseel, Saba Al-Rubaye, Argyrios C. Zolotas, Hongmei He, Carl Shaw:
A Novel Approach for Detecting Cyberattacks in Embedded Systems Based on Anomalous Patterns of Resource Utilization-Part I. IEEE Access 9: 103204-103229 (2021) - [j21]Linyu Zheng, Hongmei He:
Share price prediction of aerospace relevant companies with recurrent neural networks based on PCA. Expert Syst. Appl. 183: 115384 (2021) - [j20]Hongmei He, Mengyuan Chen, Gang Xu, Zhilong Zhu, Zhenhuan Zhu:
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. 33(20): 13809-13830 (2021) - [j19]John Oyekan, Windo Hutabarat, Christopher Turner, Ashutosh Tiwari, Hongmei He, Raymon Gompelman:
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks. Sensors 21(13): 4267 (2021) - [c20]Hongmei He, Di Zhou, Min Sheng, Jiandong Li:
Mission Structure Learning-Based Resource Allocation in Space Information Networks. ICC 2021: 1-6 - [i5]Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen:
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems. CoRR abs/2105.04408 (2021) - 2020
- [j18]Yedong Li, Hongmei He, Zhixin Zhang:
Human motion quality assessment toward sophisticated sports scenes based on deeply-learned 3D CNN model. J. Vis. Commun. Image Represent. 71: 102702 (2020) - [c19]Uchenna Daniel Ani, Hongmei He, Ashutosh Tiwari:
Vulnerability-Based Impact Criticality Estimation for Industrial Control Systems. Cyber Security 2020: 1-8 - [c18]Hanlin Chen, Hongmei He, Andrew Starr:
An Overview of Web Robots Detection Techniques. Cyber Security 2020: 1-6 - [i4]Hongmei He, Zhenhuan Zhu:
A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence. CoRR abs/2006.04766 (2020) - [i3]Meng-Yuan Chen, Yong Jian Wu, Hongmei He:
A Novel Navigation System for an Autonomous Mobile Robot in an Uncertain Environment. CoRR abs/2006.04962 (2020) - [i2]Hongmei He, Mengyuan Chen, Gang Xu, Zhilong Zhu, Zhenhuan Zhu:
Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making. CoRR abs/2008.06135 (2020) - [i1]Linyu Zheng, Hongmei He:
Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA. CoRR abs/2008.11788 (2020)
2010 – 2019
- 2019
- [j17]Uchenna Daniel Ani, Hongmei He, Ashutosh Tiwari:
Human factor security: evaluating the cybersecurity capacity of the industrial workforce. J. Syst. Inf. Technol. 21(1): 2-35 (2019) - [c17]Andrew Mason, Yifan Zhao, Hongmei He, Raymon Gompelman, Srikanth Mandava:
Online Anomaly Detection of Time Series at Scale. CyberSA 2019: 1-8 - 2018
- [j16]Swati Jadhav, Hongmei He, Karl Jenkins:
Information gain directed genetic algorithm wrapper feature selection for credit rating. Appl. Soft Comput. 69: 541-553 (2018) - [c16]Hongmei He, Zhilong Zhu, Gang Xu, Zhenhuan Zhu:
How Good a Shallow Neural Network Is for Solving Non-linear Decision Making Problems. BICS 2018: 14-24 - [c15]Meng-Yuan Chen, Yong Jian Wu, Hongmei He:
A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm. UKCI 2018: 312-324 - 2017
- [j15]Huda Hallawi, Jörn Mehnen, Hongmei He:
Multi-Capacity Combinatorial Ordering GA in Application to Cloud resources allocation and efficient virtual machines consolidation. Future Gener. Comput. Syst. 69: 1-10 (2017) - [c14]Hongmei He, Tim Watson, Carsten Maple, Jörn Mehnen, Ashutosh Tiwari:
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. IJCNN 2017: 3862-3869 - 2016
- [c13]Hongmei He, Carsten Maple, Tim Watson, Ashutosh Tiwari, Jörn Mehnen, Yaochu Jin, Bogdan Gabrys:
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. CEC 2016: 1015-1021 - [c12]Hongmei He, Ashutosh Tiwari, Jörn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys:
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. CEC 2016: 1022-1029 - 2015
- [j14]Hongmei He, Ana Salagean, Erkki Mäkinen, Imrich Vrt'o:
Various heuristic algorithms to minimise the two-page crossingnumbers of graphs. Open Comput. Sci. 5(1) (2015) - [j13]Hongmei He, Zhenhuan Zhu, Erkki Mäkinen:
Task-oriented distributed data fusion in autonomous wireless sensor networks. Soft Comput. 19(8): 2305-2319 (2015) - [c11]Swati Jadhav, Hongmei He, Karl Jenkins:
Prediction of Earnings per Share for Industry. KDIR 2015: 425-432 - [c10]Hongmei He, Zhenhuan Zhu, Ashutosh Tiwari, Andrew Mills:
A cascade of linguistic CMAC neural networks for decision making. IJCNN 2015: 1-7 - 2014
- [j12]Hongmei He, Jonathan Lawry:
The linguistic attribute hierarchy and its optimisation for classification. Soft Comput. 18(10): 1967-1984 (2014) - [j11]Hongmei He, Thomas Martin McGinnity, Sonya A. Coleman, Bryan Gardiner:
Linguistic Decision Making for Robot Route Learning. IEEE Trans. Neural Networks Learn. Syst. 25(1): 203-215 (2014) - [j10]Zhenhuan Zhu, S. Olutunde Oyadiji, Hongmei He:
Energy awareness workflow model for wireless sensor nodes. Wirel. Commun. Mob. Comput. 14(17): 1583-1600 (2014) - 2013
- [j9]Hongmei He, Zengchang Qin:
Bisociation networks analysis for business process. Int. J. Mach. Learn. Cybern. 4(5): 419-426 (2013) - 2012
- [j8]Bryan Gardiner, Sonya A. Coleman, T. Martin McGinnity, Hongmei He:
Robot control code generation by task demonstration in a dynamic environment. Robotics Auton. Syst. 60(12): 1508-1519 (2012) - [p1]Trevor Martin, Hongmei He:
Bisociative Discovery in Business Process Models. Bisociative Knowledge Discovery 2012: 452-471 - 2010
- [j7]Hongmei He, Ana Salagean, Erkki Mäkinen:
One- and two-page crossing numbers for some types of graphs. Int. J. Comput. Math. 87(8): 1667-1679 (2010) - [c9]Hongmei He, Zengchang Qin:
A k-hyperplane-based neural network for non-linear regression. IEEE ICCI 2010: 783-787 - [c8]Jonathan Lawry, Hongmei He:
Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models. SMPS 2010: 403-410
2000 – 2009
- 2009
- [j6]Hongmei He, Zhenhuan Zhu, Erkki Mäkinen:
A Neural Network Model to Minimize the Connected Dominating Set for Self-Configuration of Wireless Sensor Networks. IEEE Trans. Neural Networks 20(6): 973-982 (2009) - [c7]Hongmei He, Jonathan Lawry:
A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. IJCNN 2009: 1177-1183 - 2008
- [j5]Jonathan Lawry, Hongmei He:
Multi-Attribute Decision Making Based on Label Semantics. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-2): 69-86 (2008) - [c6]Hongmei He, Jonathan Lawry:
Linguistic attribute hierarchies for downwards propagation of information. FUZZ-IEEE 2008: 655-661 - 2007
- [j4]Hongmei He, Ondrej Sýkora, Erkki Mäkinen:
Genetic algorithms for the 2-page book drawing problem of graphs. J. Heuristics 13(1): 77-93 (2007) - [j3]Hongmei He, Ondrej Sýkora, Ana Salagean, Erkki Mäkinen:
Parallelisation of genetic algorithms for the 2-page crossing number problem. J. Parallel Distributed Comput. 67(2): 229-241 (2007) - [c5]Jonathan Lawry, Hongmei He:
Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. FUZZ-IEEE 2007: 1-6 - 2006
- [j2]Hongmei He, O. Skora, E. Mkinen:
An Improved Neural Network Model for the Two-Page Crossing Number Problem. IEEE Trans. Neural Networks 17(6): 1642-1646 (2006) - [c4]Hongmei He, Ondrej Sýkora:
A Hopfield Neural Network Model for the Outerplanar Drawing Problem. IMECS 2006: 42-47 - [c3]Hongmei He, Ondrej Sýkora, Ana Salagean:
Various Island-based Parallel Genetic Algorithms for the 2-Page Drawing Problem. Parallel and Distributed Computing and Networks 2006: 316-323 - 2005
- [j1]Hongmei He, Ondrej Sýkora, Imrich Vrto:
Crossing Minimisation Heuristics for 2-page Drawings. Electron. Notes Discret. Math. 22: 527-534 (2005) - [c2]Xuan Liu, Hongmei He, Ondrej Sýkora:
Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem. ADMA 2005: 591-597 - [c1]Radoslav Fulek, Hongmei He, Ondrej Sýkora, Imrich Vrto:
Outerplanar Crossing Numbers of 3-Row Meshes, Halin Graphs and Complete p-Partite Graphs. SOFSEM 2005: 376-379
Coauthor Index
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