Forecasting Methods And Applications

Big Data Analytics: Methods and Applications  eBooks & eLearning

Posted by naag at Feb. 20, 2017
Big Data Analytics: Methods and Applications

Saumyadipta Pyne and B.L.S. Prakasa Rao, "Big Data Analytics: Methods and Applications"
English | ISBN: 8132236262 | 2016 | 290 pages | Epub | 1.6 MB

3D Computer Vision: Efficient Methods and Applications (repost)  eBooks & eLearning

Posted by interes at Feb. 14, 2017
3D Computer Vision: Efficient Methods and Applications (repost)

Christian Wöhler, "3D Computer Vision: Efficient Methods and Applications"
English | 2009 | ISBN: 3642017312 | 385 pages | PDF | 23 MB

Linear and Nonlinear Integral Equations: Methods and Applications (repost)  eBooks & eLearning

Posted by interes at Feb. 14, 2017
Linear and Nonlinear Integral Equations: Methods and Applications (repost)

Abdul-Majid Wazwaz, "Linear and Nonlinear Integral Equations: Methods and Applications"
English | 2011 | ISBN: 3642214487 | 657 pages | PDF | 3,7 MB

Cultural Ergonomics: Theory, Methods, and Applications (Repost)  eBooks & eLearning

Posted by DZ123 at Feb. 14, 2017
Cultural Ergonomics: Theory, Methods, and Applications (Repost)

Tonya L. Smith-Jackson, Marc L. Resnick, Kayenda T. Johnson, "Cultural Ergonomics: Theory, Methods, and Applications"
English | 2013 | ISBN: 1439812608 | PDF | pages: 228 | 10.4 mb

Discrete-Time Markov Chains: Two-Time-Scale Methods and Applications  eBooks & eLearning

Posted by step778 at Feb. 14, 2017
Discrete-Time Markov Chains: Two-Time-Scale Methods and Applications

George Yin, Qing Zhang, "Discrete-Time Markov Chains: Two-Time-Scale Methods and Applications"
2004 | pages: 354 | ISBN: 038721948X | PDF | 2,2 mb
Nonlinear Time Series Analysis: Methods And Applications (Nonlinear Time Series and Chaos)

Nonlinear Time Series Analysis: Methods And Applications (Nonlinear Time Series and Chaos) by Cees Diks
English | 1999 | ISBN: 9810235054 | 218 Pages | PDF | 25.63 MB

Integral and Integrodifferential Equations: Theory, Methods and Applications  eBooks & eLearning

Posted by interes at Feb. 12, 2017
Integral and Integrodifferential Equations: Theory, Methods and Applications

Integral and Integrodifferential Equations: Theory, Methods and Applications (Mathematical Analysis and Applications) by Ravi P. Agarwal and Donal O'Regan
English | 2000 | ISBN: 905699221X | 326 pages | PDF + DJVU | 15 + 3,5 MB

Environmental Modeling with Stakeholders: Theory, Methods, and Applications  eBooks & eLearning

Posted by AvaxGenius at Feb. 11, 2017
Environmental Modeling with Stakeholders: Theory, Methods, and Applications

Environmental Modeling with Stakeholders: Theory, Methods, and Applications By Steven Gray, Michael Paolisso, Rebecca Jordan, Stefan Gray
English | PDF | 2017 | 377 Pages | ISBN : 3319250515 | 8.77 MB

This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation.
Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, Methods and Applications (Advances in Industrial Control)

Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, Methods and Applications (Advances in Industrial Control) by Thomas J. Böhme
English | 18 Mar. 2017 | ISBN: 331951315X | 530 Pages | PDF | 19.54 MB

This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis,
Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications

Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering) by Xiao-Sheng Si
English | 14 Feb. 2017 | ISBN: 3662540282 | 450 Pages | PDF | 15.49 MB

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail.