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David John Paul
David John Paul
Підтверджена електронна адреса в une.edu.au - Домашня сторінка
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Посилання
Посилання
Рік
An investigation into the learning styles and self-regulated learning strategies for computer science students
A Alharbi, D Paul, F Henskens, M Hannaford
Proceedings ascilite, 36-46, 2011
702011
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
BH Abed-alguni, D Paul
Soft Computing 26 (7), 3293-3312, 2022
642022
A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers
BH Abed-alguni, SK Chalup, FA Henskens, DJ Paul
Vietnam Journal of Computer Science 2 (4), 213-226, 2015
582015
Automated muzzle detection and biometric identification via few-shot deep transfer learning of mixed breed cattle
A Shojaeipour, G Falzon, P Kwan, N Hadavi, FC Cowley, D Paul
Agronomy 11 (11), 2365, 2021
562021
A comparison study of cooperative Q-learning algorithms for independent learners
BH Abed-Alguni, DJ Paul, SK Chalup, FA Henskens
Int. J. Artif. Intell 14 (1), 71-93, 2016
512016
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
BH Abed-Alguni, D Paul, R Hammad
Applied Intelligence 52 (15), 17217-17236, 2022
472022
Hybridizing the cuckoo search algorithm with different mutation operators for numerical optimization problems
BH Abed-Alguni, DJ Paul
Journal of Intelligent Systems 29 (1), 1043-1062, 2019
462019
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection
BH Abed-Alguni, NA Alawad, MA Al-Betar, D Paul
Applied intelligence 53 (11), 13224-13260, 2023
372023
Consumer participation in quality improvements for chronic disease care: development and evaluation of an interactive patient-centered survey to identify preferred service …
EA Fradgley, CL Paul, J Bryant, IA Roos, FA Henskens, DJ Paul
Journal of Medical Internet Research 16 (12), e3545, 2014
192014
Agent-Oriented Smart Factory (AOSF): an mas based framework for SMEs under industry 4.0
F Ud Din, F Henskens, D Paul, M Wallis
Agents and Multi-Agent Systems: Technologies and Applications 2018 …, 2019
172019
A generic platform for the collation and sharing of web survey data
D Paul, M Wallis, F Henskens, K Nolan
Proceedings of the 9th WEBIST, Aachen, Germany, 8-10, 2013
172013
Aosr 2.0: a novel approach and thorough validation of an agent-oriented storage and retrieval WMS planner for SMES, under industry 4.0
F Ud Din, D Paul, J Ryan, F Henskens, M Wallis
Future Internet 13 (6), 155, 2021
152021
Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers
BH Abed-alguni, SK Chalup, FA Henskens, DJ Paul
Vietnam Journal of Computer Science 2 (4), 227-227, 2015
152015
Merger and acquisition pricing using agent based modelling
N Agarwal, P Kwan, D Paul
Economics, management, and financial markets, 2018
132018
Computational complexity
D Paul
112012
Formalisation of problem and domain definition for agent oriented smart factory (AOSF)
FU Din, F Henskens, D Paul, M Wallis
2018 IEEE Region Ten Symposium (Tensymp), 265-270, 2018
82018
Developing an extreme learning machine based approach to weed segmentation in pastures
J Ford, E Sadgrove, D Paul
Smart Agricultural Technology 5, 100288, 2023
72023
Women's Rugby League: Positional Groups and Peak Locomotor Demands
C Cummins, G Charlton, D Paul, K Shorter, S Buxton, J Caia, A Murphy
Frontiers in Sports and Active Living 3, 648126, 2021
72021
Revitalising and validating the novel approach of xAOSF framework under industry 4.0 in comparison with linear SC
FU Din, D Paul, J Ryan, F Henskens, M Wallis
Agents and Multi-Agent Systems: Technologies and Applications 2020: 14th KES …, 2020
72020
How fast is fast? Defining velocity zones in women’s rugby league
C Cummins, G Charlton, D Paul, S Buxton, A Murphy
Science and Medicine in Football 7 (2), 165-170, 2023
62023
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