N.B. The views expressed in this paper are those of the author(s) and do not necessarily correspond to the views of the European Central Bank. Hartmann of the European Central Bank. The usual caveat applies: The author is solely responsible for errors or omissions.

Neuroimaging pipelines are known to generate different results depending on the computing platform where they are compiled and executed. We quantify these differences for brain tissue classification, fMRI analysis, and cortical thickness (CT) extraction, using three of the main neuroimaging packages (FSL, Freesurfer and CIVET) and different versions of GNU/Linux. We also identify some causes of...

The development of high-throughput sequencing technologies has provided microbial ecologists with an efficient approach to assess bacterial diversity at an unseen depth, particularly with the recent advances in the Illumina MiSeq sequencing platform. However, analyzing such high-throughput data is posing important computational challenges, requiring specialized bioinformatics solutions at diffe...

Linear algebra operations are at the core of many Machine Learning (ML) programs. At the same time, a considerable amount of the effort for solving data analytics problems is spent in data preparation. As a result, end-toend ML pipelines often consist of (i) relational operators used for joining the input data, (ii) user defined functions used for feature extraction and vectorization, and (iii)...

MOTIVATION The analysis of large biological datasets often requires complex processing pipelines that run for a long time on large computational infrastructures. We designed and implemented a simple script-like programming language with a clean and minimalist syntax to develop and manage pipeline execution and provide robustness to various types of software and hardware failures as well as port...

The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects. The MRI data acquired by the HCP differ in many ways from data acquired on conventional 3 Tesla scanners and often require newly developed preprocessing methods. We describe the mi...

The Engineering industry is constantly exploring an effective and fast-solving method for complicated engineering problems. adaptation of artificial intelligent technology can diminish the time-consuming conventional analysis methods, especially in offshore engineering. For that reason, this study pursued to build a prediction model predict residual strength API 5L X42 subsea pipelines. An neur...

Deposition of scale layers inside pipelines leads to many problems, e.g., reducing the internal diameter pipelines, damage drilling equipment because corrosion, increasing energy consumption decreased efficiency equipment, and shortened life, etc., in petroleum industry. Gamma attenuation could be implemented as a non-invasive approach suitable for determining mineral layer. In this paper, an i...

Pipelines are one of the safe and most economical ways transporting fluid matters in industries households. These pipelines get deteriorated due to aging, internal external corrosion, so on. This may cause leakages contaminate environment. So, inspected regularly maintain proper functioning cost-effectiveness. In-pipe inspection robots (IPIR) that move inside widely used carry out operations. I...

a healthcare system has been the most important priority for all governments worldwide. biotechnology products have affected the promotion of health care over the last thirty years. during the last several decades, iran has achieved significant success in extending healthcare to the rural areas and in reducing the rates of infant mortality and increasing population growth. biomedical technology...