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Volume change response and fabric evolution of granular MX80 bentonite along different hydro-mechanical stress paths

Publications associées (37)

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Image Compression and Quality Assessment using Convolutional Neural Networks

Pinar Akyazi

The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...

EPFL2020

Dataset of the paper: "Experimental investigations on the load-carrying capacity of digitally produced wood-wood connections".

Yves Weinand, Julien Gamerro, Jean-François Bocquet

Experimental data related to the paper: "Experimental investigations on the load-carrying capacity of digitally produced wood-wood connections". It presents shear and compression test results for the load-carrying capacity of digitally produced traditional ...

2020

The Bidirectional Texture Function (BTF) is a data-driven solution to render materials with complex appearance. A typical capture contains tens of thousands of images of a material sample under varying viewing and lighting conditions. While capable of fait ...

WILEY2019

High-throughput sequencing of RNA molecules has enabled the quantitative analysis of gene expression at the expense of storage space and processing power. To alleviate these prob- lems, lossy compression methods of the quality scores associated to RNA sequ ...

2018

The introduction of fast CMOS detectors is moving the field of transmission electron microscopy into the computer science field of big data. Automated data pipelines control the instrument and initial processing steps which imposes more onerous data transf ...

Elsevier BV2017

Differential Gene Expression with Lossy Compression of Quality Scores in RNA-Seq Data

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

High-Throughput sequencing of RNA molecules has enabled the quantitative analysis of the expression of genes at the expense of storage space and processing power. To help alleviate these problems, lossy compression methods of the quality scores associated ...

2017

n major distributed optimization system, the main bottleneck is often the communication between the different machines. To reduce the time dedicated to communications, some heuristics have been developed to reduce the precision of the messages sent and hav ...

2017

High-throughput sequencing (HTS) data are commonly stored as raw sequencing reads in FASTQ format or as reads mapped to a reference, in SAM format, both with large memory footprints. Worldwide growth of HTS data has prompted the development of compression ...

Nature Publishing Group2016

Data Compression via Logic Synthesis

Giovanni De Micheli, Andreas Peter Burg, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù

Nowadays, most software and hardware applications are committed to reduce the footprint and resource usage of data. In this general context, lossless data compression is a beneficial technique that encodes information using fewer (or at most equal number o ...

2014

Ultra low power design of hardware efficient CS-Based compression scheme in WBSN

David Atienza Alonso, Pierre Vandergheynst, Hossein Mamaghanian

Ultra-low power optimization is a challenging research topic in the de- sign of the sensor front-ends, especially in the area of Wireless Body Sensor Nodes (WBSN), where a limited amount of power and hardware resources are available. In this talk, I analyz ...

2014