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ORCIDJorn Mehnen
Person information
- affiliation: University of Strathclyde, Department of Design, Manufacturing and Engineering Management, Glasgow, UK
- affiliation (former): Cranfield University, Decision Engineering Centre
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2020 – today
- 2023
[j13]Amy Grech
, Jörn Mehnen, Andrew J. Wodehouse:
An Extended AI-Experience: Industry 5.0 in Creative Product Innovation. Sensors 23(6): 3009 (2023)- 2022
- [j12]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) - [c30]Janjira Aphirakmethawong, Erfu Yang, Jörn Mehnen:
An Overview of Artificial Intelligence in Product Design for Smart Manufacturing. ICAC 2022: 1-6 - 2021
- [j11]Artur Sokolovsky, David Hare, Jorn Mehnen:
Cost-Effective Vibration Analysis through Data-Backed Pipeline Optimisation. Sensors 21(19): 6678 (2021) - [i1]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
- [c29]Junjie Jiang, Xifan Yao, Erfu Yang, Jorn Mehnen, Hongnian Yu:
An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. CEC 2020: 1-8 - [c28]Yi Lei, Xifan Yao, Wocheng Chen, Junming Zhang, Jorn Mehnen, Erfu Yang:
Multiple Object Detection of Workpieces Based on Fusion of Deep Learning and Image Processing. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j10]Jaime Zabalza, Zixiang Fei, Cuebong Wong, Yijun Yan, Carmelo Mineo, Erfu Yang, Tony Rodden, Jorn Mehnen, Quang-Cuong Pham, Jinchang Ren:
Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments - A Case Study. Sensors 19(6): 1354 (2019) - [j9]Stefano Tedeschi, Christos Emmanouilidis, Jörn Mehnen, Rajkumar Roy:
A Design Approach to IoT Endpoint Security for Production Machinery Monitoring. Sensors 19(10): 2355 (2019) - 2018
- [j8]Anna Ledwoch, Alexandra Brintrup, Jörn Mehnen, Ashutosh Tiwari:
Systemic Risk Assessment in Complex Supply Networks. IEEE Syst. J. 12(2): 1826-1837 (2018) - [c27]Jaime Zabalza, Zixiang Fei, Cuebong Wong, Yijun Yan, Carmelo Mineo, Erfu Yang, Tony Rodden, Jorn Mehnen, Quang-Cuong Pham, Jinchang Ren:
Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study. BICS 2018: 790-800 - [c26]Hanna Jónasdóttir, Karishma Dhanani, Kenneth McRae, Jörn Mehnen:
Upgrading Legacy Equipment to Industry 4.0 Through a Cyber-Physical Interface. APMS (2) 2018: 3-10 - [c25]Chris J. Turner, Jörn Mehnen:
The Internet Connected Production Line: Realising the Ambition of Cloud Manufacturing. WEBIST 2018: 137-144 - 2017
- [j7]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) - [c24]Stefano Tedeschi, Christos Emmanouilidis, Michael Farnsworth, Jörn Mehnen, Rajkumar Roy:
New Threats for Old Manufacturing Problems: Secure IoT-Enabled Monitoring of Legacy Production Machinery. APMS (1) 2017: 391-398 - [c23]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 - [c22]Stefano Tedeschi, Jörn Mehnen, Rajkumar Roy:
IoT security hardware framework for remote maintenance of legacy machine tools. ICC 2017: 43:1-43:4 - 2016
- [c21]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 - [c20]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
- [c19]Nikolaos Tapoglou, Jörn Mehnen:
A Framework for Cloud Manufacturing Enabled Optimisation for Machining. APMS (2) 2015: 363-370 - [c18]Yaser Yadekar, Essam Shehab, Jörn Mehnen:
An Approach to Assess Uncertainties in Cloud Manufacturing. CE 2015: 318-324 - 2014
- [j6]Hua Wang, Paul A. Colegrove, Jörn Mehnen:
Hybrid modelling of the contact gap conductance heat transfer in welding process. Adv. Eng. Softw. 68: 19-24 (2014) - [j5]Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann:
Evolutionary Algorithms. WIREs Data Mining Knowl. Discov. 4(3): 178-195 (2014) - [c17]C. Okoh, Rajkumar Roy, Jörn Mehnen, L. Redding, A. Harrison:
Development of an Ontology for Aerospace Engine Components Degradation in Service. KEOD 2014: 108-119 - [c16]Yaser Yadekar, Essam Shehab, Jörn Mehnen:
Uncertainties in Cloud Manufacturing. CE 2014: 297-306 - 2011
- [c15]Stefano Suardi, Rajkumar Roy, Jörn Mehnen, Yoseph Tafesse Azene:
Uncertainty based evolutionary optimisation. GECCO (Companion) 2011: 87-88 - 2010
- [j4]Mark Ko, Ashutosh Tiwari, Jörn Mehnen:
A review of soft computing applications in supply chain management. Appl. Soft Comput. 10(3): 661-674 (2010)
2000 – 2009
- 2009
- [j3]Heike Trautmann, Tobias Wagner, Boris Naujoks, Mike Preuß, Jörn Mehnen:
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. Evol. Comput. 17(4): 493-509 (2009) - [c14]Heike Trautmann, Jörn Mehnen, Boris Naujoks:
Pareto-dominance in noisy environments. IEEE Congress on Evolutionary Computation 2009: 3119-3126 - [c13]Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen:
Mining Process Flowcharts from Business Data: An Evolutionary Approach. DET 2009: 1069-1087 - [c12]Jörn Mehnen:
Lessons learned in evolutionary computation: 11 steps to success. GECCO (Companion) 2009: 2657-2660 - 2008
- [c11]Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen:
A genetic programming approach to business process mining. GECCO 2008: 1307-1314 - [c10]Heike Trautmann, Uwe Ligges, Jörn Mehnen, Mike Preuss:
A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. PPSN 2008: 825-836 - [p1]Jörn Mehnen, Rajkumar Roy:
Technology Transfer: Academia to Industry. Evolutionary Computation in Practice 2008: 263-281 - 2007
- [j2]Jörn Mehnen, Thomas Michelitsch, Carsten Witt:
Collaborative Research Centre 531: Computational Intelligence - Theory and Practice (Sonderforschungsbereich 531: Computational Intelligence - Theorie und Praxis). it Inf. Technol. 49(1): 49- (2007) - [c9]Jörn Mehnen, Heike Trautmann, Ashutosh Tiwari:
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. IEEE Congress on Evolutionary Computation 2007: 2687-2694 - [c8]Jörn Mehnen, Rajkumar Roy, Petra Kersting, Tobias Wagner:
ICSPEA: evolutionary five-axis milling path optimisation. GECCO 2007: 2122-2128 - 2006
- [c7]Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
The Impact of Group Reputation in Multiagent Environments. IEEE Congress on Evolutionary Computation 2006: 1224-1231 - [c6]Bastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens M. Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
High-order punishment and the evolution of cooperation. GECCO 2006: 379-380 - 2005
- [c5]Karlheinz Schmitt, Jörn Mehnen, Thomas Michelitsch:
Using predators and preys in evolution strategies. GECCO 2005: 827-828 - 2003
- [c4]Thomas Bartz-Beielstein, Philipp Limbourg, Jörn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. IEEE Congress on Evolutionary Computation 2003: 1780-1787 - [c3]Jörn Mehnen, Thomas Michelitsch, Klaus Weinert:
Evolutionary Optimized Mold Temperature Control Strategies Using a Multi-polyline Approach. EuroGP 2003: 374-383 - 2002
- [j1]Klaus Weinert, Jörn Mehnen, Günter Rudolph:
Dynamic Neighborhood Structures in Parallel Evolution Strategies. Complex Syst. 13(3) (2002) - [c2]Klaus Weinert, Tobias Surmann, Jörn Mehnen:
Parallel Surface Reconstruction. EuroGP 2002: 93-102 - [c1]Klaus Weinert, Jörn Mehnen, Markus Schneider:
Evolutionary Optimization of Approximating Triangulations for Surface Reconstruction from Unstructured 3D Data. JCIS 2002: 578-581
Coauthor Index
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