Morris Riedel Publications

Publications – Overview

Book Chapters Peer-reviewed Publications by the World’s most respected Academic Publishers Riedel, M.: e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science, Springer Book Series Computer Communications and Networks, Guide to e-Science – Next Generation Scientific Research and Discovery, 2011, pp. 233-264, ISBN 978-0-85729-439-5 [ BOOK SERIES ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Streit, A., Erwin, D., Lippert, T., Mallmann, D., Menday, R., Rambadt, M., Riedel, M., Romberg, M., Schuller, B., Wieder, P.: UNICORE – From Project Results to Production Grids, Elsevier Book Series Advances in Parallel Computing, Vol 14, 2005, pp. 357-376, ISBN...

Morris Riedel Journals 0

Journals

Academic Journals ISI Journals with a High Impact Factor ISI journals are those international scientific journals documented in the Institute for Scientific Information (ISI) databases under the auspices of Thomson Reuters. IEEE Transactions on Parallel and Distributed Systems (TPDS), Impact Factor: 3.971 (2018-12-30) [ JOURNAL ] Springer Journal of Grid Computing, Impact Factor: 2.800 (2018-12-30) [ JOURNAL ] IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Impact Factor: 2.777 (2018-12-30) [ JOURNAL ] Other ISI Journals & SCOPUS Journals Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference...

object detection 0

Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay

Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay Christian Bodenstein, Markus Goetz, Annika Jansen, Henrike Scholz, Morris Riedel In conference proceedings of the 15th IEEE International Conference on Machine Learning and Applications, IEEE ICMLA’16, Anaheim, USA, 18 Dec 2016 – 20 Dec 2016, ISBN 978-1-5090-6167-9, pp. 746 – 751, 2017 [ DOI ] [ Juelich ] Abstract: In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated flies in the FLORIDA assay. The...

Scientific Big Data Analytics by HPC

Scientific Big Data Analytics by HPC

Scientific Big Data Analytics by HPC Thomas Lippert, Daniel Mallmann, Morris Riedel Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series 48, 417, ISBN 978-3-95806-109-5, pp. 1 – 10, 2016 [ PID ] [ Juelich ] Abstract: Storing, managing, sharing, curating and especially analyzing huge amounts of data face an immense visibility and importance in industry and economy as well as in science and research. Industry and economy exploit ’Big Data’ for predictive analysis, to increase the efficiency of infrastructures, customer segmentation, and tailored services. In science, Big Data allows for addressing problems with complexities that...

image classification 0

On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods

On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods Gabriele Cavallaro, Morris Riedel, Matthias Richerzhagen, Jon Atli Benediktsson, Antonio Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Issue 99, pp. 1-13, 2015 [ DOI ] [ Juelich ] Abstract: Owing to the recent development of sensor resolutions onboard different Earth observation platforms, remote sensing is an important source of information for mapping and monitoring natural and man-made land covers. Of particular importance is the increasing amounts of available hyperspectral data originating from airborne and satellite sensors such as AVIRIS,...

Ultrascan Scientific Gateway 0

Improvements of the UltraScan Scientific Gateway to Enable Computational Jobs on Large-scale and Open-standards based Cyberinfrastructures

Improvements of the UltraScan Scientific Gateway to Enable Computational Jobs on Large-scale and Open-standards based Cyberinfrastructures Memon, M.S., Attig, N., Demeler, B., Gorbet, G., Girmshaw, A., Gunathilake, L., Janetzko, F., Lippert, T., Marru, S., Singh, R., Riedel, M.: Improvements of the UltraScan Scientific Gateway to enable Computational Jobs on Large-scale and Open-standards based Cyberinfrastructures, in conference proceedings of the 2013 XSEDE Conference on Extreme Science and Engineering Discovery Environment Gateway to Discovery (XSEDE 2013), July 22-25, 2013, San Diego, California, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Abstract: The UltraScan data analysis application is...

Morris Riedel Digital Library 0

Digital Library

Digital Library Deep Learning and Physical Models Wiewel, S., Becher, M., Thuerey, N.: Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow, arXiv, submitted to NIPS 2018, 2018 Abstract: Our work explores methods for the data-driven inference of temporal evolutions of physical functions with deep learning techniques. More specifically, we target fluid flow problems, and we propose a novel LSTM-based approach to predict the changes of the pressure field over time. The central challenge in this context is the high dimensionality of Eulerian space-time data sets. Key for arriving at a feasible algorithm is a technique for dimensionality reduction...