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2020 – today
- 2024
[j19]Sarawoot Somin, Don Kulasiri
, Sandhya Samarasinghe:
On electrostatic interactions of adenosine triphosphate-insulin-degrading enzyme revealed by quantum mechanics/molecular mechanics and molecular dynamics. Quant. Biol. 12(4): 414-432 (2024)- 2023
- [j18]Sandhya Samarasinghe:
Collective computational intelligence in biology - Emergence of memory in somatic tissues. Biosyst. 223: 104816 (2023) - [j17]Mohammad Abdallah Alsharaiah, Sandhya Samarasinghe, Don Kulasiri:
Proteins as fuzzy controllers: Auto tuning a biological fuzzy inference system to predict protein dynamics in complex biological networks. Biosyst. 224: 104826 (2023) - 2022
- [j16]Leshi Chen, Don Kulasiri, Sandhya Samarasinghe:
Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways. Quant. Biol. 10(1): 94 (2022) - [i1]Mamoon Obiedat, Sandhya Samarasinghe:
Modelling Socio-ecological Systems: Implementation of an Advanced Fuzzy Cognitive Map Framework for Policy development for addressing complex real-life challenges. CoRR abs/2208.05103 (2022) - 2021
- [j15]Tran Nguyen Minh-Thai, Sandhya Samarasinghe, Michael Levin:
A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems. Artif. Life 27(2): 80-104 (2021) - [j14]Mutaz Khazaaleh, Sandhya Samarasinghe, Don Kulasiri:
A new hierarchical approach to multi-level model abstraction for simplifying ODE models of biological networks and a case study: The G1/S Checkpoint/DNA damage signalling pathways of mammalian cell cycle. Biosyst. 203: 104374 (2021) - [c6]Kitti Chiewchan, Patricia Anthony, Birendra KC, Sandhya Samarasinghe:
Improving Water Distribution in a Multi-Agent System Using Fixed Multiunit First-Price Sealed-Bid Auction. KES-AMSTA 2021: 465-475 - [p1]Ali Al-Yousef, Sandhya Samarasinghe:
A Novel Computational Approach for Biomarker Detection for Gene Expression-Based Computer-Aided Diagnostic Systems for Breast Cancer. Artificial Neural Networks, 3rd Edition 2021: 195-208 - 2020
- [j13]Mutaz Khazaaleh, Sandhya Samarasinghe:
Using activity time windows and logical representation to reduce the complexity of biological network models: G1/S checkpoint pathway with DNA damage. Biosyst. 191-192: 104128 (2020) - [j12]Rahul Kosarwal, Don Kulasiri, Sandhya Samarasinghe:
Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks. BMC Bioinform. 21(1): 515 (2020)
2010 – 2019
- 2019
- [c5]Kitti Chiewchan, Patricia Anthony, Birendra KC, Sandhya Samarasinghe:
Improving Water Allocation Using Multi-agent Negotiation Mechanisms. KES-AMSTA 2019: 105-115 - 2018
- [c4]Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe, Michael Levin:
A Computational Framework for Autonomous Self-repair Systems. Australasian Conference on Artificial Intelligence 2018: 153-159 - 2017
- [j11]Sandhya Samarasinghe, Hong Ling:
A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks. Biosyst. 153: 6-25 (2017) - 2016
- [j10]Mamoon Obiedat, Sandhya Samarasinghe:
A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems. Appl. Soft Comput. 48: 91-110 (2016) - [c3]Sandhya Samarasinghe, Manishi Kohli, Don Kulasiri:
Neural Networks for Robotic Detection of Mastitis in Dairy Cows: Netherlands and New Zealand Perspectives. IntelliSys (2) 2016: 989-996 - 2015
- [j9]Jingyi Liang, Don Kulasiri, Sandhya Samarasinghe:
Ca2+ dysregulation in the endoplasmic reticulum related to Alzheimer's disease: A review on experimental progress and computational modeling. Biosyst. 134: 1-15 (2015) - 2014
- [j8]Y. He, Don Kulasiri, Sandhya Samarasinghe:
Systems biology of synaptic plasticity: A review on N-methyl-d-aspartate receptor mediated biochemical pathways and related mathematical models. Biosyst. 122: 7-18 (2014) - [j7]Champi Thusangi Wannige, Don Kulasiri, Sandhya Samarasinghe:
The meiotic-mitotic initiation switch in budding yeast maintains its function robustly against sensitive parameter perturbations. Biosyst. 124: 61-74 (2014) - 2013
- [j6]Hong Ling, Sandhya Samarasinghe, Don Kulasiri:
Computational experiments reveal the efficacy of targeting CDK2 and CKIs for significantly lowering cellular senescence bar for potential cancer treatment. Biosyst. 111(2): 71-82 (2013) - [j5]Hong Ling, Sandhya Samarasinghe, Don Kulasiri:
Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics. Biosyst. 114(3): 191-205 (2013) - [j4]Sandhya Samarasinghe, Graham Strickert:
Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation. Environ. Model. Softw. 39: 188-200 (2013) - 2012
- [c2]Majeed Safa, Sandhya Samarasinghe:
Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks. ICONIP (2) 2012: 25-32 - 2011
- [j3]Don Kulasiri, Y. He, Sandhya Samarasinghe:
Robustness of circadian rhythms in the presence of molecular fluctuations: An investigation based on a mechanistic, statistical theory and a simulation algorithm. Biosyst. 106(1): 57-66 (2011) - [j2]Chintanu Kumar Sarmah, Sandhya Samarasinghe:
Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays. Comput. Biol. Medicine 41(10): 980-986 (2011) - 2010
- [j1]Hong Ling, Don Kulasiri, Sandhya Samarasinghe:
Robustness of G1/S checkpoint pathways in cell cycle regulation based on probability of DNA-damaged cells passing as healthy cells. Biosyst. 101(3): 213-221 (2010)
1990 – 1999
- 1995
- [c1]Ramesh K. Rayudu, Sandhya Samarasinghe, Don Kulasiri:
A Comparison of Model-based Reasoning and Learning Approaches to Power Transmission Fault Diagnosis. ANNES 1995: 218-222
Coauthor Index
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