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References

1 
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2 
Y. Zhao , J. Jiang , Y. Chen , R. Liu , Y. Yang , X. Xue , S. Chen , Metaverse: Perspectives from graphics, interactions and visualization, Visual Informatics, Vol. 6, No. 1, pp. 56-67, 2022DOI
3 
A. Nadeem , M. Ashraf , K. Rizwan , N. Qadeer , A. AlZahrani , A. Mehmood , Q. H. Abbasi , A novel integration of face-recognition algorithms with a soft voting scheme for efficiently tracking missing person in challenging large-gathering scenarios, Sensors, Vol. 22, No. 3, Art. no. 1153, 2022DOI
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D. J. M. Barnett , I. C. W. Arts , J. Penders , microViz: An R package for microbiome data visualization and statistics, Journal of Open Source Software, Vol. 6, No. 63, Art. no. 3201, 2021DOI
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A. A. Movassagh , J. A. Alzubi , M. Gheisari , M. Rahimi , S. Mohan , A. A. Abbasi , N. Nabipour , Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model, Journal of Ambient Intelligence and Humanized Computing, Vol. 14, No. 5, pp. 6017-6025, 2023DOI
12 
X. Fu , G. Gui , Y. Wang , H. Gacanin , F. Adachi , Automatic modulation classification based on decentralized learning and ensemble learning, IEEE Transactions on Vehicular Technology, Vol. 71, No. 7, pp. 7942-7946, 2022DOI
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J. Lin , J. Ma , J. G. Zhu , Y. Cui , A transfer ensemble learning method for evaluating power transformer health conditions with limited measurement data, IEEE Transactions on Instrumentation and Measurement, Vol. 71, pp. 1-10, Art. no. 3513910, 2022DOI
14 
Y. Sun , L. Fu , Stacking ensemble learning for non-line-of-sight detection of global navigation satellite system, IEEE Transactions on Instrumentation and Measurement, Vol. 71, pp. 1-10, Art. no. 3512510, 2022DOI
15 
K. Mageira , D. Pittou , A. Papasalouros , K. Kotis , P. Zangogianni , A. Daradoumis , Educational AI chatbots for content and language integrated learning, Applied Sciences, Vol. 12, No. 7, Art. no. 3239, 2022DOI
16 
M. Kovacova , V. Machova , D. Bennett , Immersive extended reality technologies, data visualization tools, and customer behavior analytics in the metaverse commerce, Journal of Self-Governance and Management Economics, Vol. 10, No. 2, pp. 7-21, 2022DOI
17 
S. Danisch , J. Krumbiegel , Makie.jl: Flexible high-performance data visualization for Julia, Journal of Open Source Software, Vol. 6, No. 65, Art. no. 3349, 2021DOI
18 
R. Jamal , J. Zhang , B. Men , N. H. Khan , M. Ebeed , S. Kamel , Solution to the deterministic and stochastic optimal reactive power dispatch by integration of solar, wind-hydro powers using modified artificial hummingbird algorithm, Energy Reports, Vol. 9, pp. 4157-4173, 2023DOI
19 
B. A. Hassan , CSCF: A chaotic sine cosine firefly algorithm for practical application problems, Neural Computing and Applications, Vol. 33, No. 12, pp. 7011-7030, 2021DOI
20 
K. Sato , M. Akiyama , Y. Sakakibara , RNA secondary structure prediction using deep learning with thermodynamic integration, Nature Communications, Vol. 12, No. 1, Art. no. 941, 2021DOI
21 
E. Yaghoubi , E. Yaghoubi , A. Khamees , A. H. Vakili , A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering, Neural Computing and Applications, Vol. 36, No. 21, pp. 12655-12699, 2024DOI
22 
Y. K. Saheed , S. Misra , A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things, International Journal of Information Security, Vol. 23, No. 3, pp. 1557-1581, 2024DOI
23 
R. Chhabra , S. Goswami , R. K. Ranjan , A voting ensemble machine learning-based credit card fraud detection using highly imbalanced data, Multimedia Tools and Applications, Vol. 83, No. 18, pp. 54729-54753, 2024DOI
24 
S. M. Javidan , A. Banakar , K. A. Vakilian , Y. Ampatzidis , Tomato leaf diseases classification using image processing and weighted ensemble learning, Agronomy Journal, Vol. 116, No. 3, pp. 1029-1049, 2024DOI
25 
S. Saleh , B. Cherradi , O. El Gannour , S. Hamida , O. Bouattane , Predicting patients with Parkinson’s disease using machine learning and ensemble voting technique, Multimedia Tools and Applications, Vol. 83, No. 11, pp. 33207-33234, 2024DOI
26 
M. S. Başarslan , F. Kayaalp , Sentiment analysis using a deep ensemble learning model, Multimedia Tools and Applications, Vol. 83, No. 14, pp. 42207-42231, 2024DOI
27 
A. Ennaji , H. El Khoukhi , M. A. Sabri , A. Aarab , Malignant melanoma detection using multi-scale image decomposition and a new ensemble-learning scheme, Multimedia Tools and Applications, Vol. 83, No. 7, pp. 21213-21228, 2024DOI
28 
F. Wei , P. Xu , Y. Guo , Z. Wang , Exploring the injury severity of vulnerable road users to truck crashes by ensemble learning, Journal of Transportation Safety & Security, Vol. 16, No. 11, pp. 1259-1282, 2024DOI
29 
H. Ulutas , R. B. Günay , M. E. Sahin , Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization, Neural Computing and Applications, Vol. 36, No. 29, pp. 18313-18341, 2024DOI
30 
L. Yang , Q. Zhao , An aggressive driving state recognition model using EEG based on stacking ensemble learning, Journal of Transportation Safety & Security, Vol. 16, No. 3, pp. 271-292, 2024DOI