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Visual learning analysis of physical virtual simulation experiments based on heterogeneous data features


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Choudhary, B., Sukanya, Mehta, P., Bach, S., Ruchaud, S., & Robert, T., et al. (2021). Discovery of thiazolidin-4-one analogue as selective gsk-3β inhibitor through structure based virtual screening. Bioorganic & medicinal chemistry letters, 52, 128375. Search in Google Scholar

Frank, S. M., S Bründl, Frank, U. I., Sasaki, Y., & Watanabe, T. (2020). Fundamental differences in visual perceptual learning between children and adults. Current Biology, 31(2). Search in Google Scholar

Chen, S., & Olsen, S. L. (2021). New physics searches at the besiii experiment. National Science Review, 8(11), nwab189. Search in Google Scholar

Stouwe, A., Tuitert, I., Giotis, I., Calon, J., Gannamani, R., & Dalenberg, J., et al. (2021). Next move in movement disorders (nemo): developing a computer-aided classification tool for hyperkinetic movement disorders. BMJ open, 11(10), e055068. Search in Google Scholar

Krak, I., Barmak, O., & Manziuk, E. (2020). Using visual analytics to develop human and machine‐centric models: a review of approaches and proposed information technology. Computational Intelligence. 38(3), 921-946. Search in Google Scholar

Maf, A., Sg, A., Ch, A., & St, A. (2020). Data-driven analysis of product state propagation in manufacturing systems using visual analytics and machine learning - sciencedirect. Procedia CIRP, 93, 449-454. Search in Google Scholar

Demelo, J., & Sedig, K. (2021). Interfaces for searching and triaging large document sets: an ontology-supported visual analytics approach. Information, 13. Search in Google Scholar

Valle, N., Antonenko, P., Dawson, K., & AC Huggins-Manley. (2021). Staying on target: a systematic literature review on learner‐facing learning analytics dashboards. British Journal of Educational Technology, (2). Search in Google Scholar

Rojas, R., Kuleshov, S. V., Silva, C., Carvajal, G., Abusleme, A., & Hakobyan, H., et al. (2022). Verdaq: a versatile data acquisition system for high energy physics experiments. Journal of Instrumentation, 17(01), P01023 (21pp). Search in Google Scholar

Cheng, L., Niu, W. C., Zhao, X. G., Xu, C. L., & Hou, Z. Y. (2021). Design and implementation of college physics teaching platform based on virtual experiment scene. International Journal of Electrical Engineering Education, 002072092098468. Search in Google Scholar

Wang, Y., Chang, F., Wu, Y., Hu, Z., Li, L., & Li, P., et al. (2022). Multi-kinects fusion for full-body tracking in virtual reality-aided assembly simulation: International Journal of Distributed Sensor Networks, 18(5), 625-636. Search in Google Scholar

Scott, M. C. (2022). 74 automation, machine learning and computer vision as decision support: taking what animal agricultural does well into the future. Journal of Animal Science, (Supplement_3), Supplement_3. Search in Google Scholar

Varde, A. S. (2022). Computational estimation by scientific data mining with classical methods to automate learning strategies of scientists. ACM Transactions on Knowledge Discovery from Data (TKDD). Search in Google Scholar

He, H., Zheng, Q., Di, D., & Dong, B. (2019). How learner support services affect student engagement in online learning environments. IEEE Access, 7, 49961-49973. Search in Google Scholar

Ertek, G., & Kailas, L. (2021). Analyzing a decade of wind turbine accident news with topic modeling. Sustainability, 13. Search in Google Scholar

Jia, D., & Shen, W. (2021). Is normalized iris optimal for iris recognition based on deep learning? Journal of Electronic Imaging, 30(5), 053007-. Search in Google Scholar

Li, W. (2022). Improved spatiotemporal information fusion approach based on bayesian decision theory for land cover classification. Remote Sensing, 14. Search in Google Scholar

Liu, S. J., Chang, R. Y., & Chien, F. T. (2019). Analysis and visualization of deep neural networks in device-free wi-fi indoor localization. IEEE Access, PP, (99), 1-1. Search in Google Scholar

Ali, M., Alqahtani, A., Jones, M. W., & Xie, X. Clustering and classification for time series data in visual analytics: a survey. IEEE Access, 7. Search in Google Scholar

Fan, H., Liu, P., Xu, M., & Yang, Y. (2021). Unsupervised visual representation learning via dual-level progressive similar instance selection. IEEE Transactions on Cybernetics, PP, (99), 1-11. Search in Google Scholar

Rostamzadeh, N., Abdullah, S. S., Sedig, K., Garg, A. X., & Mcarthur, E. (2021). Veronica: visual analytics for identifying feature groups in disease classification. 9). Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics