Naïve bayes vs. decision trees vs. neural networks in the classification of training web pages D Xhemali, CJ Hinde, R Stone Loughborough University, 2009 | 272 | 2009 |
A survey of indoor location technologies, techniques and applications in industry SJ Hayward, K van Lopik, C Hinde, AA West Internet of Things 20, 100608, 2022 | 84 | 2022 |
A consensus-based grouping algorithm for multi-agent cooperative task allocation with complex requirements S Hunt, Q Meng, C Hinde, T Huang Cognitive computation 6, 338-350, 2014 | 75 | 2014 |
A new extension of fuzzy sets using rough sets: R-fuzzy sets Y Yang, C Hinde Information Sciences 180 (3), 354-365, 2010 | 69 | 2010 |
Fuzzy prolog CJ Hinde International journal of man-machine studies 24 (6), 569-595, 1986 | 47 | 1986 |
Developing skills with information technology LD Bainbridge, SA Ruiz Quintanilla (No Title), 1989 | 45 | 1989 |
A diagram drawing tool for semi–automatic assessment of conceptual database diagrams F Batmaz, CJ Hinde Loughborough University, 2006 | 37 | 2006 |
Sensitivity analysis of emission models of parcel lockers vs. Home delivery based on hbefa M Schnieder, C Hinde, A West International Journal of Environmental Research and Public Health 18 (12), 6325, 2021 | 34 | 2021 |
Feature recognition within a truth maintained process planning system PJ Herbert, CJ Hinde, AD Bray, VA Launders, D Round, DM Temple International Journal of Computer Integrated Manufacturing 3 (2), 121-132, 1990 | 26 | 1990 |
Naive bayes vs. decision trees vs. neural networks in the classification of training web pages X Daniela, C Hinde, R Stone International Journal of Computer Science Issues 4 (1), 16-23, 2009 | 24 | 2009 |
Improving genetic algorithms’ efficiency using intelligent fitness functions J Cooper, C Hinde Developments in Applied Artificial Intelligence: 16th International …, 2003 | 24 | 2003 |
Comparison of in-sight and handheld navigation devices toward supporting industry 4.0 supply chains: First and last mile deliveries at the human level K van Lopik, M Schnieder, R Sharpe, M Sinclair, C Hinde, P Conway, ... Applied ergonomics 82, 102928, 2020 | 23 | 2020 |
Inconsistent Intuitionistic Fuzzy Sets and Mass Assignment CJ Hinde, RS Patching, SA McCoy Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and …, 2007 | 23 | 2007 |
An extension of the consensus-based bundle algorithm for multi-agent tasks with task based requirements S Hunt, Q Meng, CJ Hinde 2012 11th International Conference on Machine Learning and Applications 2 …, 2012 | 22 | 2012 |
Using neural networks as a tool for constructing rule based systems GP Fletcher, CJ Hinde Knowledge-Based Systems 8 (4), 183-189, 1995 | 22 | 1995 |
Combining parcel lockers with staffed collection and delivery points: An optimization case study using real parcel delivery data (London, UK) M Schnieder, C Hinde, A West Journal of Open Innovation: Technology, Market, and Complexity 7 (3), 183, 2021 | 20 | 2021 |
Experience of the application of intelligent control paradigms to real manufacturing processes AA West, DJ Williams, CJ Hinde Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 1995 | 19 | 1995 |
A web-based semi-automatic assessment tool for conceptual database diagrams F Batmaz, CJ Hinde Proceedings of the Sixth IASTED International Conference on Web-Based …, 2007 | 18 | 2007 |
Allocating railway platforms using a genetic algorithm M Clarke, CJ Hinde, MS Withall, TW Jackson, IW Phillips, S Brown, ... Research and Development in Intelligent Systems XXVI: Incorporating …, 2010 | 16 | 2010 |
An improved representation for evolving programs MS Withall, CJ Hinde, RG Stone Genetic Programming and Evolvable Machines 10, 37-70, 2009 | 16 | 2009 |