Welcome to OpenAIR@RGU

OptimAIzerSQL: optimizing SQL queries with heuristic and ML-based multi-agent systems. (2025)
Presentation / Conference Contribution

SQL query optimization (QO) is a critical component of database management systems, essential for improving query execution times, enhancing resource utilization, and ensuring scalability in the face of growing data volumes. This study presents Optim... Read More about OptimAIzerSQL: optimizing SQL queries with heuristic and ML-based multi-agent systems..

Advancements in SQL query optimization: a review of join order and index selection. (2025)
Presentation / Conference Contribution
HETTIARACHCHI, N. and YAPA, P. 2025. Advancements in SQL query optimization: a review of join order and index selection. In Proceedings of the 5th International conference on Machine learning and intelligent systems engineering 2025 (MLISE 2025), 13-15 June 2025, Shenzhen, China. Piscataway: IEEE [online], pages 31-39. Available from: https://doi.org/10.1109/MLISE66443.2025.11100192

Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves selecting the most efficient execution plan for a given query, con... Read More about Advancements in SQL query optimization: a review of join order and index selection..

A novel extended Kalman filter-guided long short-term memory algorithm for power lithium-ion battery state of charge estimation at multiple temperatures. (2025)
Journal Article
LIU, D., WANG, S., LI, X., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2025. A novel extended Kalman filter-guided long short-term memory algorithm for power lithium-ion battery state of charge estimation at multiple temperatures. Energy [online], 335, article 137973. Available from: https://doi.org/10.1016/j.energy.2025.137973

The power lithium-ion battery's state of charge (SOC) is critical for electric vehicles. However, current neural network-based SOC estimation algorithms fail to consider the effects of feature enhancement in reducing the network training time and imp... Read More about A novel extended Kalman filter-guided long short-term memory algorithm for power lithium-ion battery state of charge estimation at multiple temperatures..

Synthesis of substituted triazines and evaluation of their corrosion inhibition performance on Fe(100) in 1 M HCl: a combined experimental and DFT study. (2025)
Journal Article
TSHIKHUDO, F., MUGWENA, D.S., MNYAKENI-MOLEELE, S.S., KABANDA, M.M., FERNANDEZ, C. and MURULANA, L.C. 2025. Synthesis of substituted triazines and evaluation of their corrosion inhibition performance on Fe(100) in 1 M HCl: a combined experimental and DFT study. International journal of electrochemical science [online], 20(10), article number 101153. Available from: https://doi.org/10.1016/j.ijoes.2025.101153

This study aimed to evaluate the effectiveness of synthesized substituted triazine, namely 4,6-dichloro-2-morpholine-1,3,5-triazine (DMT), 4,6-dichloro-2-anilino-1,3,5-triazine (DPT), and 4,6-dichloro-N-methylanilino-1,3,5-triazine (DNT), in inhibiti... Read More about Synthesis of substituted triazines and evaluation of their corrosion inhibition performance on Fe(100) in 1 M HCl: a combined experimental and DFT study..

Towards ordinal few-shot learning for automated essay grading. (2025)
Presentation / Conference Contribution
WIJAYASEKARA, V.A., MARTIN, K. and WIRATUNGA, N. 2025. Towards ordinal few-shot learning for automated essay grading. In Cristea, A.I., Walker, E., Lu, Y., Santos, O.C. and Isotani, S. (eds.) Artificial intelligence in education. Posters and late breaking results, workshops and tutorials, industry and innovation tracks, practitioners, doctoral consortium, Blue Sky, and WideAIED: proceedings of the 26th International conference in Artificial intelligence in education 2025 (AIED 2025), 22-26 July 2026, Palermo, Italy. Communications in computer and information science, 2590. Cham: Springer [online], part 1, pages 346-351. Available from: https://doi.org/10.1007/978-3-031-99261-2_35

Ordinal essay grading, an essential task in educational domain and natural language processing (NLP), involves categorising essays based on quality, such as grading scale levels. This is crucial in automated assessment systems that evaluate student w... Read More about Towards ordinal few-shot learning for automated essay grading..