Skip to content
#software testing Open access

BLAST-BNN Simulation-to-Field Transfer v1.0.0

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Reproducibility package for the study “Simulation-to-Field Transfer and Domain-Shift Assessment of Numerical-Data-Trained Models for Blast-Induced Peak Particle Velocity.” This archive contains the complete analysis script, numerical database, external field observations, frozen reference predictions used for exact manuscript reproduction, Python requirements, repository documentation, and software license. The study evaluates zero-shot simulation-to-field transfer of PPV models trained on numerical data only. External field observations are used exclusively for evaluation and are not used for model training, preprocessing, hyperparameter tuning, model selection, domain-threshold definition, or prediction-interval calibration. The reduced QD-BNN uses charge weight (Q) and blast-to-monitoring distance (D) as inputs. The field analysis should therefore be interpreted as a simulation-to-field transfer and domain-shift assessment, not as field validation of the original 12-input BLAST-BNN framework. Reference mode reproduces the locked manuscript results, including the 1080/231/232 numerical split, 46 external field observations, primary Q-D support threshold of 0.146845716514, 8 supported field cases, 38 sparse/OOD field cases, 94.40% numerical-test interval coverage, and 54.35% field interval coverage.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.