References
- M. Andraud, N. Hens, C. Marais, P. Beutels, Dynamic epidemiological
models for dengue transmission: a systematic
review of structural approaches, PLoS One, 7 (2012), https://doi.
org/10.1371/journal.pone.0049085.
- T.Y. Lin, Granular Computing on Binary Relations (I): Data
Mining and Neighborhood Systems, In: Rough Sets in Knowledge
Discovery, Springer-Verlag, Heidelberg, 1998, pp.
107–121.
- S. Adelman, L. Terpeluk Moss, Data Warehouse Project Management,
Addison-Wesley, Boston, 2004.
- J. Wang, Data Warehousing and Mining, Concepts, Methodologies,
Tools and Applications, Information Science Reference,
New York, 2004.
- R. Kimball, M. Ross, The Data Warehouse Toolkit, The Complete
Guide to Dimensional Modelling, John Wiley & Sons, Inc., 2002,
464 pages.
- I. Lungu, A. Bara, Sisteme Informatice Executive, ASE Publishing
House, Bucuresti, 2007.
- J. Giebel, D.M. Gavrila, C. Schnorr, A Bayesian Framework
for Multi-cue 3D Object Tracking, ECCV 2004 8th European
Conference, Computer Vision, Prague, Czech Republic.
- I. Haritaoglu, D. Harwood, L. Davis, Who, When, Where,
What: A Real-time System for Detecting and Tracking People,
Proc. 3rd IEEE Int’l Conference Automatic Face and Gesture
Recognition, IEEE, Santa Barbara, CA, USA, 1998, pp. 222–227.
- J. Kang, I. Cohen, G. Medioni, Tracking People in Crowded
Scenes Across Multiple Cameras, Proc. Sixth Asian Conference
Computer Vision, Jeju Island, Korea, 2004. Available at: http://
citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.8460
&rep=rep1&type=pdf.
- P. Shi, Q. Shen, Cooperative Control of Multi-agent Systems
with Unknown State-dependent Controlling Effects, IEEE
Trans. Autom. Sci. Eng., Vol. 12, 2015, pp. 827–834.
- A.J. Patel, J.S. Patel, Ensemble Systems and Incremental
Learning, 2013 International Conference on Intelligent Systems
and Signal Processing (ISSP), 2013, pp. 365–368.
- A.M. Meystel, J.S. Albus, Intelligent Systems, Architecture,
Design, and Control, Wiley, Hoboken, NJ, 2002.
- K. Atanssov, Intuitionistic fuzzy sets, Fuzzy Sets Syst., 20 (1986)
87–96.
- B.A. Yoakum, S.J. Duranceau, Using oxidation-reduction
potential to manage media filters treating sulfide-laden groundwater,
Desal. Wat. Treat., 101 (2018) 1–6.
- J. Vojtesek, P. Dostal, Adaptive Control of Water Level in Real
Model of Water Tank, Process Control (PC), Presentado en
20th International Conference on, Strbske Pleso, Eslovaquia,
junio 9-12, IEEE, 2015. Available at: https://ieeexplore.ieee.org/abstract/document/7169981.
- R. Dilip Kumar, D. Bithin, Comparative efficiency of different
artificial intelligence based models for predicting density
dependent saltwater intrusion processes in coastal aquifers and
saltwater intrusion management utilizing the best performing
model, Desal. Wat. Treat., 105 (2018) 160–180.
- I. Miyazawa, N. Kobayashi, T. Sekiguchi, The Modelling and
Analyzing of Sequential Control Systems Using Invariant Properties
of Petri Net, SMC IEEE Conference, 1996, pp. 451–456.
- I. Skoczko, J. Piekutin, Efficiency of manganese removal from
water in selected filter beds, Desal. Wat. Treat., 57 (2016)
1611–1619.