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

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

Πηγή: 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)

INTEGRATING UAV PHOTOGRAMMETRY AND PYTHON BASED WORKFLOWS FOR BUILDING FOOTPRINT EXTRACTION

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

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

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

Συγγραφείς: Masson A; Inria Center at University of Rennes, Rennes, France.; SAIRPICO Team, Paris, France.; U1339 INSERM, Institut Curie, Chemical Biology of Cancer Unit, Paris, France., Prigent S; Inria Center at University of Rennes, Rennes, France., Valades-Cruz CA; Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China., Leconte L; Institute of Human Genetics, CNRS UMR9002, National Infrastructure France-BioImaging, Montpellier, France., Maury L; Inria Center at University of Rennes, Rennes, France.; SAIRPICO Team, Paris, France.; U1339 INSERM, Institut Curie, Chemical Biology of Cancer Unit, Paris, France., Salamero J; Institut Pasteur de Montevideo, Montevideo, Uruguay., Kervrann C; Inria Center at University of Rennes, Rennes, France.; SAIRPICO Team, Paris, France.; U1339 INSERM, Institut Curie, Chemical Biology of Cancer Unit, Paris, France.

Πηγή: Journal of microscopy [J Microsc] 2026 Jul 06. Date of Electronic Publication: 2026 Jul 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Published for the Royal Microscopical Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 0204522 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2818 (Electronic) Linking ISSN: 00222720 NLM ISO Abbreviation: J Microsc Subsets: MEDLINE

Python-Based Model Emulation Workflows with PEST.

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

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

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

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

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

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

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

Περιγραφή αρχείου: electronic resource

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

Σύνδεσμος πρόσβασης: https://doaj.org/article/68d26267962c4be5847a0d2d2e991a3d

Programming task-based workflows with COMPSs

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

Θεματικοί όροι: pycompss, scientific workflow systems, workflow programming, 005 Computerprogrammierung, Programme, Daten, python-based workflows

Περιγραφή αρχείου: application/pdf

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

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

Πηγή: 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.

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

Όροι ευρετηρίου: Solar and Stellar Astrophysics, Astrophysics of Galaxies, Instrumentation and Methods for Astrophysics, text

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

Study of Python-based workflow engines

Συγγραφείς: Vieira, André Gonçalves

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

Πηγή: urn:tid:204221919

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

Περιγραφή αρχείου: application/pdf

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

TRNSYS-AgentControl: A Python-based framework for agent-driven supervisory control workflows in TRNSYS

Συγγραφείς: Haddad, Masoud ^{a, ⁎}, Asadi, Somayeh ^b, Lü, Xiaoshu ^{a, c}

Πηγή: In SoftwareX September 2026 35

PyMACS: A python-based automation suite for GROMACS molecular dynamics setup, simulation, and analysis

Συγγραφείς: Schulz, Joseph M. ^a, Reynolds, Robert C. ^b, Schürer, Stephan C. ^{a, c, d, ⁎}

Πηγή: In European Journal of Medicinal Chemistry 15 October 2026 316

Automated security-centric refactoring of PowerShell commands using large language models: A Python-based framework for cross-language automation

Συγγραφείς: Elserwy, Tamer Bahgat ^{a, ⁎}, El-Demerdash, Basma E. ^b

Πηγή: In Egyptian Informatics Journal September 2026 35

OPTIM: A Python-based optimization framework for geophysical problems

Συγγραφείς: Lei, Tao ^{a, b}, Zhang, Wei ^{a, b, ⁎}, Lu, Yongming ^c, Yang, Li ^d

Πηγή: In Computers and Geosciences July 2025 201

Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data

Συγγραφείς: Draizen, Eli J.^{Aff1, Aff2, IDs12859023055865_cor1}, Readey, John^Aff3, Mura, Cameron^{Aff1, Aff2, IDs12859023055865_cor3}, Bourne, Philip E.^{Aff1, Aff2}

Πηγή: BMC Bioinformatics. 25(1)

Nipype 2.0: A new Python-based ecosystem for neuroscientific workflows and reproducibility

Συγγραφείς: Jarecka, Dorota, Markiewicz, Christopher J., Goncalves, Mathias, Kaczmarzyk, Jakub, Esteban, Oscar, Gorgolewski, Krzysztof J., Ghosh, Satrajit

Θεματικοί όροι: Neuroinformatics, General neuroinformatics

Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world

Συγγραφείς: Middell, E., Carlton, L., Moradi, S., Codina, T., Fischer, T., Cutler, J., Kelley, S., Behrendt, J., Dissanayake, T., Harmening, N., Yücel, M. A., Boas, D. A., von Lühmann, A.

Θεματικοί όροι: Signal Processing, Artificial Intelligence, Machine Learning, Image and Video Processing, Quantitative Methods

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2601.05923

Configuration Quality Failures in LLM-Generated GitHub Actions Workflows: A Comparison with Human-Validated Baselines

Συγγραφείς: Ahmed, Sajid, Rahman, Samia, Farin Ifa, Kazi Tasnia, Chowdhury, Proma

Πηγή: 2026 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) ICSTW Software Testing, Verification and Validation Workshops (ICSTW), 2026 IEEE International Conference on. :65-69 May, 2026

Relation: 2026 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows

Συγγραφείς: Gabriel Riquelme, Nicolás Zabalegui, Pablo Marchi, Christina M. Jones, María Eugenia Monge

Πηγή: Metabolites, Vol 10, Iss 10, p 416 (2020)

Θεματικοί όροι: data cleaning, preprocessing, Python, untargeted metabolomics, reference materials, data curation, Microbiology, QR1-502

Περιγραφή αρχείου: electronic resource

Relation: https://www.mdpi.com/2218-1989/10/10/416; https://doaj.org/toc/2218-1989

Σύνδεσμος πρόσβασης: https://doaj.org/article/2c7a754add2849849df670f026c05082

Modeling Sampling Workflows for Code Repositories

Συγγραφείς: Lefeuvre, Romain, Le Goasteller, Maïwenn, Galasso, Jessie, Combemale, Benoit, Perez, Quentin, Sahraoui, Houari

Πηγή: Proceedings of the 23rd International Conference on Mining Software Repositories. :423-434

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3793302.3793369

SciBlend: Advanced data visualization workflows within Blender

Συγγραφείς: Marín, José ^a, Baptiste, Tiffany M.G. ^b, Rodero, Cristobal ^c, Williams, Steven E. ^d, Niederer, Steven A. ^{c, e}, García-Fernández, Ignacio ^{a, ⁎}

Πηγή: In Computers & Graphics August 2025 130