| A modified fuzzy min–max neural network with rule extraction and its application to fault detection and classification A Quteishat, CP Lim Applied Soft Computing 8 (2), 985-995, 2008 | 170 | 2008 |
| A modified fuzzy min–max neural network with a genetic-algorithm-based rule extractor for pattern classification A Quteishat, CP Lim, KS Tan IEEE transactions on systems, man, and cybernetics-part a: systems and …, 2010 | 113 | 2010 |
| Heart rate extraction from vowel speech signals A Mesleh, D Skopin, S Baglikov, A Quteishat Journal of computer science and technology 27, 1243-1251, 2012 | 108 | 2012 |
| A neural network-based multi-agent classifier system A Quteishat, CP Lim, J Tweedale, LC Jain Neurocomputing 72 (7-9), 1639-1647, 2009 | 58 | 2009 |
| Application of the fuzzy min-max neural networks to medical diagnosis A Quteishat, CP Lim International Conference on Knowledge-Based and Intelligent Information and …, 2008 | 34 | 2008 |
| A novel population-based local search for nurse rostering problem. A Abuhamdah, W Boulila, GM Jaradat, AM Quteishat, MK Alsmadi, ... International Journal of Electrical & Computer Engineering (2088-8708) 11 (1), 2021 | 28 | 2021 |
| A modified fuzzy min-max neural network and its application to fault classification AM Quteishat, CP Lim Soft Computing in Industrial Applications: Recent Trends, 179-188, 2007 | 28 | 2007 |
| A novel trust measurement method based on certified belief in strength for a multi-agent classifier system MF Mohammed, CP Lim, A Quteishat Neural Computing and Applications 24, 421-429, 2014 | 21 | 2014 |
| Cervical cancer diagnostic system using adaptive fuzzy moving k-means algorithm and fuzzy min-max neural network SH Alnabelsi Journal of Theoretical and Applied Information Technology 57 (1), 2013 | 21 | 2013 |
| Stochastic energy management of a multi-microgrid system with battery/supercapacitor energy storages considering demand response and transactive energy SR Seyednouri, A Safari, A Quteishat, MA Younis, J Salehi, S Najafi, ... Renewable Energy Focus 48, 100531, 2024 | 18 | 2024 |
| Day-ahead scheduling of multi-energy microgrids based on a stochastic multi-objective optimization model SR Seyednouri, A Safari, M Farrokhifar, SN Ravadanegh, A Quteishat, ... Energies 16 (4), 1802, 2023 | 18 | 2023 |
| A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement A Quteishat, CP Lim, JM Saleh, J Tweedale, LC Jain Soft computing 15, 221-231, 2011 | 18 | 2011 |
| Wheat seeds classification using multi-layer perceptron artificial neural network NA Abdullah, AM Quteishat International Journal of Electronics Communication and Computer Engineering …, 2015 | 16 | 2015 |
| Intelligent machines: an introduction LC Jain, A Quteishat, CP Lim Innovations in Intelligent Machines-1, 1-9, 2007 | 15 | 2007 |
| Detection and classification of electrical supply voltage quality to electrical motors using the fuzzy-min-max neural network H Singh, MZ Abdullah, A Qutieshat 2011 IEEE International Electric Machines & Drives Conference (IEMDC), 961-965, 2011 | 13 | 2011 |
| Techno-economical study of solar water pumping system: optimum design, evaluation, and comparison HA Kazem, A Quteishat, MA Younis Renewable Energy and Environmental Sustainability 6, 41, 2021 | 12 | 2021 |
| Optimal stochastic scheduling of a multi-carrier multi-microgrid system considering storages, demand responses, and thermal comfort SR Seyednouri, A Safari, M Farrokhifar, SN Ravadanegh, A Quteishat, ... Sustainable Cities and Society 99, 104943, 2023 | 11 | 2023 |
| A hybrid robust-stochastic optimization model for planned outage based day-ahead scheduling of a plug-in electric vehicles parking lot AH Mobaraki, P Salyani, A Safari, A Quteishat, MA Younis Sustainable Energy Technologies and Assessments 54, 102831, 2022 | 11 | 2022 |
| A short-term voltage stability online assessment based on multi-layer perceptron learning M Shahriyari, A Safari, A Quteishat, H Afsharirad Electric Power Systems Research 223, 109562, 2023 | 10 | 2023 |
| Exploring the role of ai in modern legal practice: Opportunities, challenges, and ethical implications M Ali J. Electrical Systems 20 (6s), 3040-3050, 2024 | 7 | 2024 |
CP LimProfessor, Swinburne University of TechnologyE-mailová adresa ověřena na: swin.edu.au