Computational Geometry and Graph Theory
Hiro Ito, Mikio Kano, Naoki Katoh, "Computational Geometry and Graph Theory"
English | 2008 | ISBN: 3540895493 | PDF | pages: 244 | 5.1 mb
Transactions on Computational Science XXIII
Marina L. Gavrilova, C.J. Kenneth Tan, Xiaoyang Mao, "Transactions on Computational Science XXIII"
English | 2014 | ISBN: 3662437899 | PDF | pages: 238 | 19.2 mb
Computational and Experimental Biomedical Sciences
João Manuel R. S. Tavares, R.M. Natal Jorge, "Computational and Experimental Biomedical Sciences"
2015 | pages: 259 | ISBN: 3319157981 | PDF | 9,2 mb
Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics)
Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) by Péter Érdi
English | 20 Feb. 2017 | ISBN: 3319499580 | 456 Pages | PDF | 14.82 MB
This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry
Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) ->
Methods for Computational Gene Prediction
William H. Majoros, "Methods for Computational Gene Prediction"
English | ISBN: 0521877512, 0521706947, 082479642X | 2007 | 448 pages | PDF | 5 MB
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 7th International Workshop, STACOM 2016, Held in Papers (Lecture Notes in Computer Science) by Tommaso Mansi
English | 28 Feb. 2017 | ISBN: 3319527177 | 244 Pages | PDF | 74.43 MB
This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected papers
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ->
Engineering Computational Emotion – A Reference Model for Emotion in Artificial Systems
Engineering Computational Emotion – A Reference Model for Emotion in Artificial Systems By M. Guadalupe Sánchez-Escribano
English | PDF | 2018 | 272 Pages | ISBN : 331959429X | 9.2 MB
This book provides a new perspective on emotion in artificial systems. It presents an insightful explanation of how emotion might emerge deep inside the systems, and emotional behaviour could be seen as a consequence of their internal management. The final approach attempts to account for a range of events associated with emotion, from functional and behavioural features to aspects related to the dynamics and the development of feeling.
Engineering Computational Emotion – A Reference Model for Emotion in Artificial Systems ->
Computational Logistics: 7th International Conference
Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings by Ana Paias, Mario Ruthmair, Stefan Voß
English | 2016 | ISBN: 3319448951 | 456 Pages | PDF | 60.1 MB
This book constitutes the refereed proceedings of the 7th International Conference on Computational Logistics, ICCL 2016, held in Lisbon, Portugal, in September 2016.
Coursera – Computational Methods for Data Analysis
Coursera – Computational Methods for Data Analysis
University of Washington with J. Nathan Kutz
WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB
Genre: eLearning Video / Data Analysis
Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.
Coursera – Computational Methods for Data Analysis
Coursera – Computational Methods for Data Analysis
University of Washington with J. Nathan Kutz
WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB
Genre: eLearning Video / Data Analysis
Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.