AI Bibliography

List Resources

Displaying 1 - 13 of 13
Parameters
Order by:

Ascending
Descending
Use all checked: 
Use all displayed: 
Use all in list: 
Bailenson, J. (2018). Experience on demand: What virtual reality is, how it works, and what it can do. W. W. Norton.  
6/25/20, 9:50 AM
Brown, L. (2019). Augmented reality in international pilot training to meet training demands. Univ of Michigan.  
10/15/20, 5:33 PM
Clay, V., K"onig, P., & K"onig, S. U. (2019). Eye tracking in virtual reality. Journal of Eye Movement Research, 12(1).  
10/15/20, 4:10 PM
Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2020). Big data analytics for manufacturing internet of things: Opportunities, challenges and enabling technologies. Enterprise Information Systems, 14(9-10), 1279–1303.  
2/8/23, 9:58 AM
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660.  
11/16/22, 1:46 PM
Haiduk, P. M. (2017). Display formats for smart glasses to support pilots in general aviation. Unpublished PhD thesis, Technische Universit{"a}t.  
10/15/20, 5:03 PM
Maity, S. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development.  
10/15/20, 5:24 PM
Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., & Raza, M., et al.. (2022). Digital twins: A survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys & Tutorials.  
2/8/23, 9:30 AM
Ntuen, C. A., & Gwang-Myung, K. (2008). A sensemaking visualization tool with military doctrinal elements NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIV GREENSBORO ARMY CENTER~….  
9/26/22, 11:24 AM
Pennington, E., Hafer, R., Nistler, E., Seech, T., & Tossell, C. 2019, Integration of advanced technology in initial flight training. Paper presented at 2019 Systems and Information Engineering Design Symposium (SIEDS).  
10/15/20, 5:21 PM
Ryan, M. (2020). The intellectual edge: A competitive advantage for future war and strategic competition National Defense University Washington United States.  
9/9/20, 4:05 PM
Wu, R., Zhao, Y., Clarke, A., & Kendall, A. 2017, A framework using machine vision and deep reinforcement learning for self-learning moving objects in a virtual environment. Paper presented at Naval Post Graduate School.  
10/19/20, 1:51 PM
Xie, X., Lu, Q., Parlikad, A. K., & Schooling, J. M. (2020). Digital twin enabled asset anomaly detection for building facility management. IFAC-PapersOnLine, 53(3), 380–385.  
2/8/23, 9:36 AM
WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)