A Python-Based Framework for Integrating Multi-Modal AI in Automated Video Production Workflows: A Strategic Business Perspective

Authors: Felix, Antonius, Sutrisno, Julius, Swandari, Selly, Bernanda, Devi Yurisca, Kembau, Agung Stefanus, Leonardo, Vincentius

Source: 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) Current Research in Artificial Intelligence and Data Science (ICCRAIDS), 2026 International Conference on. 1:1-7 Apr, 2026

Relation: 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS)

Python-based Workflow System for Quantum-HPC Hybrid Application on HPC System and Quantum Computer with Shared Network

Authors: Pornmaneerattanatri, Soratouch, Tsuji, Miwako, Maheshwari, Ketan, Sato, Mitsuhisa

Source: Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops. :428-432

Availability: http://dl.acm.org/doi/10.1145/3784828.3786263

A Python-Based Workflow for Producing Soil Electromagnetic Properties

Authors: Brownbridge, Todd R., Russo, Nicholas

Source: SoutheastCon 2026 SoutheastCon, 2026. :1-6 Feb, 2026

Relation: SoutheastCon 2026

INTEGRATING UAV PHOTOGRAMMETRY AND PYTHON BASED WORKFLOWS FOR BUILDING FOOTPRINT EXTRACTION

Authors: George CRISTIAN, Sorin HERBAN, Carmen GRECEA, Clara – Beatrice VÎLCEANU, Andreea Diana CLEPE

Source: Research Journal of Agricultural Science. 57:125-137

Study of Python-based workflow engines

Authors: Vieira, André Gonçalves

Contributors: Vilaça, Ricardo Manuel Pereira, RepositóriUM - Universidade do Minho

Source: urn:tid:204221919

Subject Terms: Scientific Workflows, Workflow Management Systems, Common Workflow Language, Toil, Nextflow, Snakemake, Fluxos de Trabalho Científico, Motores de Fluxo de Trabalho

File Description: application/pdf

Availability: https://hdl.handle.net/1822/100391

BioImageIT: A novel python‐based architecture for reproducible bio‐image workflows.

Authors: Masson, Arthur^1,2,3 (AUTHOR) arthur.masson@inria.fr, Prigent, Sylvain¹ (AUTHOR), Valades‐Cruz, Cesar Augusto⁴ (AUTHOR), Leconte, Ludovic⁵ (AUTHOR), Maury, Léo^1,2,3 (AUTHOR), Salamero, Jean⁶ (AUTHOR), Kervrann, Charles^1,2,3 (AUTHOR)

Source: Journal of Microscopy. Jul2026, p1. 19p. 4 Illustrations.

Subject Terms: *Workflow management systems, *Python programming language, *Microscopy, *High performance computing, *Computer software management, *Data management

StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data

Authors: Jiayi Wang, Zheng Dong, Yi Zhang, Wenqiang Hua, Zudeng Wang, Huilong Guo, Yiming Yang, Xiaoxue Bi

Source: J Synchrotron Radiat
Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1249-1256 (2024)

Subject Terms: Crystallography, QD901-999, Nuclear and particle physics. Atomic energy. Radioactivity, data analysis, x-ray scattering, scientific workflow, plug-in framework, QC770-798, Research Papers

Access URL: https://pubmed.ncbi.nlm.nih.gov/39007823
https://doaj.org/article/9085c964e4a14d038f99346100846100

AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories

Authors: Fei, Yuxing, Rendy, Bernardus, Kumar, Rishi, Dartsi, Olympia, Sahasrabuddhe, Hrushikesh P., McDermott, Matthew J., Wang, Zheren, Szymanski, Nathan J., Walters, Lauren N., Milsted, David, Zeng, Yan, Jain, Anubhav, Ceder, Gerbrand

Subject Terms: Condensed Matter - Materials Science, Computer Science - Robotics, Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2405.13930

A Python-Based Workflow for Computing and Extracting Drug-Like Compounds from PubChem

Authors: Suchismita, Mahato

Source: Methods in Molecular Biology ISBN: 9781071645451

Subject Terms: Pharmaceutical Preparations, Drug Discovery, Computational Biology, Humans, Software, Databases, Chemical, Workflow

Access URL: https://pubmed.ncbi.nlm.nih.gov/40455164

A Python-Based Workflow for Asbestos Roof Mapping and Temporal Monitoring Using Satellite Imagery

Authors: Giuseppe Bonifazi, Alice Aurigemma, José Salas-Cáceres, Javier Lorenzo-Navarro, Silvia Serranti, Federica Paglietti, Sergio Bellagamba, Sergio Malinconico

Source: Geomatics. 6:41

Subject Terms: asbestos–cement, roofs, mapping, satellite, multispectral imaging, python, asbestos detection, temporal monitoring, remediation assessment

Python-Based Model Emulation Workflows with PEST.

Authors: Hugman R, White J; INTERA Incorporated, Fort Collins, CO.

Source: Ground water [Ground Water] 2026 May 28. Date of Electronic Publication: 2026 May 28.

Publication Type: Journal Article

Journal Info: Publisher: Blackwell Publishing Country of Publication: United States NLM ID: 9882886 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-6584 (Electronic) Linking ISSN: 0017467X NLM ISO Abbreviation: Ground Water Subsets: MEDLINE

Artificial Life in Integrated Interactive Sonification and Visualisation: Initial Experiments with a Python-Based Workflow

Authors: Miguel Crozzoli, Jack Armitage, Daniel Jones

Source: Proceedings of the 29th International Conference on Auditory Display (ICAD2024). :18-25

Auto-PHSSCW ABAQUS: An integrated, python-based workflow for automated buckling-to-collapse analysis of H-shaped steel composite walls

Authors: Lijian Ren

Source: SoftwareX, Vol 33, Iss , Pp 102535- (2026)

Subject Terms: Abaqus automation, Geometric imperfection, Static-Riks, Bolted splice, Parametric finite element, Steel stability, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711026000294; https://doaj.org/toc/2352-7110

Access URL: https://doaj.org/article/5787ca02cefd41a7b72db2ad2e973386

pyjevsim: Streamlining simulation workflows using journaling in Python-based discrete event simulation environments

Authors: Jaiyun Lee, Gyusik Ham, Sooyoung Jang, Sungjoo Kang, Changbeom Choi

Source: SoftwareX, Vol 31, Iss , Pp 102291- (2025)

Subject Terms: Discrete event simulation, Simulation engine, Simulation saving/restoring, Model journaling, Computer simulation, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025002572; https://doaj.org/toc/2352-7110

Access URL: https://doaj.org/article/68d26267962c4be5847a0d2d2e991a3d

Programming task-based workflows with COMPSs

Authors: Badia, Rosa M, Conejero, Javier, Ejarque, Jorge, Lezzi, Daniele, Lordan, Francesc, Sirvent, Raül

Subject Terms: pycompss, scientific workflow systems, workflow programming, 005 Computerprogrammierung, Programme, Daten, python-based workflows

File Description: application/pdf

Streamlining OIB data compilation and processing: a Python-based workflow for GEOROC

Authors: Marthe Klöcking, Zachary Eriksen

Source: Goldschmidt2025 abstracts.

Python-Based Workflow for Geometry Creation in Computational Fluid Dynamics

Authors: Lars Erickson

Source: 2025 Regional Student Conferences.

Automated FEMA-Compliant Floodplain Encroachment Assessment Using Python-Based Geospatial Workflows

Authors: Itohaosa Isibor, Otugene Victor Bamigwojo, Lawrence Enyejo, Gamaliel Ibuola Olola

Source: International Journal of Scientific Research and Modern Technology. :225

NutMaat: A Python package for stellar spectral classification on the MK system

Additional Titles: Stellar spectral classification according to the Morgan-Keenan (MK) system remains fundamental to astrophysical studies, yet modern surveys require automated, scalable tools. We present NutMaat, an open-source Python-based package inspired by MKCLASS, designed to automate MK classification while addressing scalability and usability limitations. It employs modern computational tools for batch processing and offers a modular architecture that enables efficient, platform-independent analysis of large spectral datasets. It also includes modules for detecting classical chemically peculiar stars, such as Am, Ap, and $λ$ Boo types, using internal consistency checks between different line diagnostics. Tested on the CFLIB and MILES libraries, NutMaat achieved spectral and luminosity classification accuracies comparable to MKCLASS, with minimal systematic offsets and a robust performance down to S/N $\le$ 10. NutMaat successfully identified chemically peculiar stars, tested on LAMOST DR7 ACV variables, and processed the SDSS-IV MaStar library -- which lacks native MK classifications -- to produce a stellar catalog, demonstrating survey readiness. Future development of NutMaat will focus on extending wavelength coverage beyond the 3800--5600 $Å$ range, computational acceleration via Cython, and refining peculiarity classification. Beyond its technical design, NutMaat can provide consistent, MK-standard classification across large-scale spectroscopic surveys, facilitating reliable stellar population analyses, identification of rare objects, and the construction of high-quality spectral catalogs essential for galactic archaeology and stellar evolution studies. As an open-source tool, NutMaat bridges traditional MK methods with modern data workflows, offering a scalable solution for current and future spectroscopic surveys.

Authors: El-Kholy, R. I., Hayman, Z. M.

Index Terms: Solar and Stellar Astrophysics, Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics, text

URL: http://arxiv.org/abs/2501.17698

Workflow and Example Dataset for Python-Based Stitching of Confocal Zebrafish Images from VAST BioImager-Based Screening

Authors: Dutta, Suchetana Bias, Valerio-Cabrera, Sarai

Contributors: Wetzker, Cornelia, Becker, Catherina