Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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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

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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

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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.

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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

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 ->