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References

1 
Adnan M., Habib A., Ashraf J., Mussadiq S., Raza A., 2021, Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states, EAI Endorsed Transactions on Scalable Information Systems, Vol. 21, No. 30DOI
2 
Tumaini K., Ilias P., Håkon O. D., 2021, AI-enabled adaptive learning systems: A systematic mapping of the literature, Computers and Education: Artificial Intelligence, Vol. 2DOI
3 
Du L., Cui Z., 2021, Self-adaptive network structure tuning method based on NSGA-III, International Journal of Computing Science and Mathematics, Vol. 13, No. 1, pp. 54-63DOI
4 
Tian Z., Han W., Powell W. B., 2021, Adaptive learning of drug quality and optimization of patient recruitment for clinical trials with dropouts, Manufacturing Service Operations Management, Vol. 24, No. 1DOI
5 
Cho S., Zhang F., Edwards C. R., 2021, Learning and detecting abnormal speed of marine robots, International Journal of Advanced Robotic Systems, Vol. 18, No. 2DOI
6 
Mohit-Ghiri Z., Mohammadi A., Mirghaderi S.-H., 2021, Many-objective x-bar control chart using hybrid NSGA-III and DEA, International Journal of Quality Engineering and Technology, Vol. 8, No. 2, pp. 201-217DOI
7 
Vyas V. S., Kemp B., Reid S. A., 2021, Zeroing in on the best early-course metrics to identify at-risk students in general chemistry: An adaptive learning pre-assessment vs. traditional diagnostic exam, International Journal of Science Education, Vol. 43, No. 4, pp. 552-569DOI
8 
Pugh N., Park H., Derjany P., Liu D., Namilae S., 2021, Deep adaptive learning for safe and efficient navigation of pedestrian dynamics, IET Intelligent Transport Systems, Vol. 15, No. 4, pp. 538-548DOI
9 
Reinstein I., Hill J., Cook D. A., Lineberry M., Pusic M. V., 2021, Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: Groundwork for adaptive learning, Advances in Health Sciences Education, Vol. 26, pp. 881-912DOI
10 
Wang M., Wang Y., 2021, Research on English teaching information pushing method based on intelligent adaptive learning platform, International Journal of Continuing Engineering Education and Life Long Learning, Vol. 31, No. 2, pp. 133-151DOI
11 
Mauersberger F., 2021, Monetary policy rules in a non-rational world: A macroeconomic experiment, Journal of Economic Theory, Vol. 197DOI
12 
Bozkurt A., Karadeniz A., Baneres D., Guerrero-Roldán A. E., Rodríguez M. E., 2021, Artificial intelligence and reflections from educational landscape: A review of AI studies in half a century, Sustainability, Vol. 13, No. 2DOI
13 
di Pace F., Mitra K., Zhang S., 2021, Adaptive learning and labor market dynamics, Journal of Money, Credit and Banking, Vol. 53, No. 2-3, pp. 441-475DOI
14 
Ganapathy N., Swaminathan R., Deserno T. M., 2021, Adaptive learning and cross training improves R-wave detection in ECG, Computer Methods and Programs in Biomedicine, Vol. 200DOI
15 
Jepkoech J., Mugo D. M., Kenduiywo B. K., Too E. C., 2021, The effect of adaptive learning rate on the accuracy of neural networks, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 12, No. 8DOI
16 
Seng D., Li B., Lai C., Wang J., 2021, Adaptive learning user implicit trust behavior based on graph convolution network, IEEE Access, Vol. 9, pp. 108363-108372DOI
17 
Guo C., Ye C., Ding Y., Lin Z., Wang P., 2020, Risk-based many-objective configuration of power system fault current limiters utilizing NSGA-III, IET Generation, Transmission & Distribution, Vol. 14, No. 23, pp. 5646-5654DOI
18 
Guan M., Xu T., Gao F., Nie W., Yang H., 2020, Optimal walker constellation design of LEO-based global navigation and augmentation system, Remote Sensing, Vol. 12, No. 11DOI
19 
Dao D. N., Guo L.-X., 2019, New hybrid NSGA-III & SPEA/R to multi-object optimization in a half-car dynamic model, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 234, No. 6DOI
20 
Wu X., Li J., Shen X., Zhao N., 2020, NSGA-III for solving dynamic flexible job shop scheduling problem considering deterioration effect, IET Collaborative Intelligent Manufacturing, Vol. 2, No. 1, pp. 22-33DOI
21 
Gupta A., Singh D., Kaur M., 2020, An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic maps, Journal of Ambient Intelligence and Humanized Computing, Vol. 11, pp. 1309-1324DOI
22 
He S., Dong S., Zhao N., 2020, Research on rush order insertion rescheduling problem under hybrid flow shop based on NSGA-III, International Journal of Production Research, Vol. 58, No. 4, pp. 1161-1177DOI
23 
Sang Y., Tan J., W. Liu , 2020, Research on many-objective flexible job shop intelligent scheduling problem based on improved NSGA-III, IEEE Access, Vol. 8, pp. 157676-157690DOI
24 
Xue X., Lu J., Chen J., 2019, Using NSGA-III for optimizing biomedical ontology alignment, CAAI Transactions on Intelligence Technology, Vol. 4, No. 3, pp. 135-141DOI
25 
Medina G. Y. P., Siller E. G. C., Pérez A. F. M., Garces R. S., 2019, Mechanical properties and depth penetration optimization using NSGA-III in hybrid laser arc welding, MRS Advances, Vol. 4, pp. 3053-3060DOI
26 
Liu C., Wang H., Tang Y., Wang Z., 2021, Optimization of a multi-energy complementary distributed energy system based on comparisons of two genetic optimization algorithms, Processes, Vol. 9, No. 8DOI
27 
Mwiya R. M., Zhang Z., Zheng C., Wang C., 2020, Comparison of approaches for irrigation scheduling using aquaCrop and NSGA-III models under climate uncertainty, Sustainability, Vol. 12, No. 18DOI
28 
Ma W., Wang R., Gu Y., Meng Q., Huang H., Deng S., Wu Y., 2021, Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm, Complex Intelligent Systems, Vol. 7, pp. 1153-1171DOI
29 
Mauro N., Cena F., Putnam C., Pera M. S., Álvarez D. R., 2024, Introduction to this special issue on intelligent systems for people with diverse cognitive abilities, Human-Computer Interaction, Vol. 39, No. 1-2DOI
30 
Wu X., Gu Y., Lin L., Zheng W., Chen X., 2024, ISTA+: Test case generation and optimization for intelligent systems based on coverage analysis, Science of Computer Programming, Vol. 234DOI