Surface Water Quality Modeling And Control

Advanced Modeling and Computer Technologies for Fluvial Water Quality Research and Control (repost)

Advanced Modeling and Computer Technologies for Fluvial Water Quality Research and Control by Karlos J. Kachiashvili and D. Y. Melikdzhanian
English | 2012 | ISBN: 1614700184 | 348 pages | PDF | 4,4 MB
Advanced Modeling and Computer Technologies for Fluvial Water Quality Research and Control

Advanced Modeling and Computer Technologies for Fluvial Water Quality Research and Control by Karlos J. Kachiashvili and D. Y. Melikdzhanian
English | 2012 | ISBN: 1614700184 | 348 pages | PDF | 4,4 MB

The results discussed in this book are interesting and useful for a wide range of specialists and scientists working in the field of applied mathematics, and in the modelling and monitoring of pollution of natural waters, ecology, hydrology, power engineering and building of different structures of water objects.
Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries, 2nd edition

Zhen–Gang Ji, "Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries, 2nd edition"
English | ISBN: 1118877152 | 2017 | 648 pages | PDF | 32 MB
Turfgrass and Landscape Irrigation Water Quality: Assessment and Management (Repost)

Robert N. Carrow, Ronny R. Duncan, Michael T. Huck, "Turfgrass and Landscape Irrigation Water Quality: Assessment and Management"
2008 | pages: 496 | ISBN: 1420081934 | PDF | 5,0 mb

Waterbody Hydrodynamic and Water Quality Modeling  eBooks & eLearning

Posted by step778 at Feb. 28, 2018
Waterbody Hydrodynamic and Water Quality Modeling

John Eric Edinger, "Waterbody Hydrodynamic and Water Quality Modeling"
2001 | pages: 232 | ISBN: 0784405506 | PDF | 10,1 mb
Modeling and Control of Discrete-event Dynamic Systems: with Petri Nets and Other Tools (Repost)

Branislav Hrúz, MengChu Zhou, "Modeling and Control of Discrete-event Dynamic Systems: with Petri Nets and Other Tools"
English | 2007 | ISBN: 184628872X | PDF | pages: 351 | 4.6 mb
Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems (Repost)

Zhizheng Wu, Azhar Iqbal, Foued Ben Amara, "Modeling and Control of Magnetic Fluid Deformable Mirrors for Adaptive Optics Systems"
2012 | pages: 322 | ISBN: 364232228X, 3642438539 | PDF | 4,9 mb

Dynamic Modeling and Control of Engineering Systems  eBooks & eLearning

Posted by DZ123 at Jan. 23, 2018
Dynamic Modeling and Control of Engineering Systems

Bohdan T. Kulakowski, John F. Gardner, J. Lowen Shearer, "Dynamic Modeling and Control of Engineering Systems"
English | 2007 | ISBN: 0521864356 | PDF | pages: 502 | 4.9 mb

Information and Computer Technology, Modeling and Control  eBooks & eLearning

Posted by Underaglassmoon at Jan. 18, 2018
Information and Computer Technology, Modeling and Control

Information and Computer Technology, Modeling and Control
Nova | English | 2017 | ISBN-10: 1536120758 | 375 pages | PDF | 11.10 mb

by Tamar Lominadze (Author), Maka Khartishvilli (Author), Ketevan Makhashvili (Author), Ivane Gordigze (Editor)

Dynamic Neuroscience: Statistics, Modeling, and Control  eBooks & eLearning

Posted by AvaxGenius at Dec. 29, 2017
Dynamic Neuroscience: Statistics, Modeling, and Control

Dynamic Neuroscience: Statistics, Modeling, and Control By Zhe Chen
English | PDF,EPUB | 2017 (2018 Edition) | 337 Pages | ISBN : 3319719750 | 15.7 MB

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.