Výsledky vyhledávání - jana and python (source OR resource) code*

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data.

Autoři: Idkowiak, Jakub Dehairs, Jonas Schwarzerová, Jana a další

Zdroj: Nature Communications; 9/30/2025, Vol. 16 Issue 1, p1-19, 19p

Témata: LIPIDOMICS, METABOLOMICS, MASS spectrometry, PYTHON programming language, MATHEMATICAL statistics, VISUALIZATION, DATA analysis, PROGRAMMING languages

Marginalizing Sample Consensus.

Autoři: Barath, Daniel Noskova, Jana Matas, Jiri

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence. Nov2022, Vol. 44 Issue 11, p8420-8432. 13p.

Témata: *SOURCE code, *C++, *PYTHON programming language, *DECISION making, *ALGORITHMS

Guide assignment in single-cell CRISPR screens using crispat.

Autoři: Braunger, Jana M Velten, Britta

Zdroj: Bioinformatics. Sep2024, Vol. 40 Issue 9, p1-6. 6p.

Témata: *GENETIC engineering, *FUNCTIONAL genomics, *CRISPRS, *SOURCE code, *MEDICAL screening

RareLink: scalable REDCap-based framework for rare disease interoperability linking international registries to FHIR and Phenopackets.

Autoři: Graefe, Adam S. L. Rehburg, Filip Alkarkoukly, Samer a další

Zdroj: NPJ Genomic Medicine; 11/18/2025, Vol. 10 Issue 1, p1-11, 11p

An empirical study on the effectiveness of large language models for binary code understanding.

Autoři: Shang, Xiuwei Fu, Zhenkan Cheng, Shaoyin a další

Zdroj: Empirical Software Engineering; Feb2026, Vol. 31 Issue 1, p1-38, 38p

Indoor Airborne VOCs from Water-Based Coatings: Transfer Dynamics and Health Implications †.

Autoři: Růžičková, Jana Raclavská, Helena Kucbel, Marek a další

Zdroj: Journal of Xenobiotics; Dec2025, Vol. 15 Issue 6, p197, 29p

Témata: VOLATILE organic compounds, INDOOR air quality, SICK building syndrome, HEALTH outcome assessment, HEALTH risk assessment, AQUEOUS polymeric coatings, HAZARDS

Evidence-Based Recommendations for Geriatric Trauma Care: Systematic Review and AI-Assisted Consolidation of Clinical Practice Guidelines Between 2016 and 2021.

Autoři: Kocar, Thomas D. Fotteler, Marina L. Willems, Jana a další

Zdroj: Annals of Surgery Open; Dec2025, Vol. 6 Issue 4, p1-9, 9p

All-atom protein sequence design using discrete diffusion models.

Autoři: Villegas-Morcillo, Amelia Admiraal, Gijs J. Reinders, Marcel J. T. a další

Zdroj: Journal of Cheminformatics; 12/1/2025, Vol. 18 Issue 1, p1-15, 15p

Témata: PROTEIN engineering, AMINO acids, POST-translational modification, STOCHASTIC models

Benchmarking WebAssembly for Embedded Systems.

Autoři: MORON, KONARD WALLENTOWITZ, STEFAN

Zdroj: ACM Transactions on Architecture & Code Optimization; Sep2025, Vol. 22 Issue 3, p1-21, 21p

Georeferenced Sediment and Surface Water Element Concentrations in the Coastal Liepāja Lake (Latvia), 2024.

Autoři: Grinfelde, Inga Valainis, Uldis Nitcis, Maris a další

Zdroj: Data (2306-5729); Dec2025, Vol. 10 Issue 12, p200, 10p

Témata: SEDIMENT analysis, TRACE elements, POLLUTION measurement, BODIES of water, LAKES, ENVIRONMENTAL monitoring, GEOSPATIAL data

Geografický termín: LATVIA

Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech

Autoři: Straka, Milan Straková, Jana

Témata: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2406.12422

Development of a BIM-based AI-driven matching tool for LCA datasets.

Autoři: Petrosa, Dino Haverkamp, Pamela Backes, Jana Gerta a další

Zdroj: Discover Sustainability; 11/13/2025, Vol. 6 Issue 1, p1-22, 22p

Témata: ARTIFICIAL intelligence, PRODUCT life cycle assessment, SUSTAINABILITY, ECOLOGICAL assessment, SOFTWARE development tools, AUTOMATION software, BUILDING information modeling, BUILDING design & construction

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.

Autoři: Sun, Zhensu Du, Xiaoning Song, Fu a další

Zdroj: ACM Transactions on Software Engineering & Methodology; Jan2025, Vol. 34 Issue 1, p1-22, 22p

Témata: LANGUAGE models, NEURAL codes, POWER resources, DEEP learning, SCIENTIFIC community

Development and Characterization of Near-Infrared Detectable Twin Dye Patterns on Polyester Packaging for Smart Optical Tagging.

Autoři: Plehati, Silvio Bernašek Petrinec, Aleksandra Bogović, Tomislav a další

Zdroj: Polymers (20734360); Oct2025, Vol. 17 Issue 20, p2784, 17p

Témata: NEAR infrared radiation, NEAR infrared spectroscopy, POLYESTER fibers, PATTERN perception, DYE lasers, PACKAGING, OPTICAL signal detection

Highway traffic monitoring independent to shadows in OpenCV.

Autoři: Hasal, Martin Nowakova, Jana Tomaszek, Lukas a další

Zdroj: AIP Conference Proceedings; 2023, Vol. 2849 Issue 1, p1-4, 4p

Témata: TRAFFIC monitoring, SUNSHINE, PYTHON programming language

deepFPlearn⁺: enhancing toxicity prediction across the chemical universe using graph neural networks.

Autoři: Soulios, Kyriakos Scheibe, Patrick Bernt, Matthias a další

Zdroj: Bioinformatics; Dec2023, Vol. 39 Issue 12, p1-4, 4p

Témata: CHEMICAL testing, MOLECULAR structure, SOFTWARE compatibility, MOLECULAR weights, SOURCE code

Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management.

Alternate Title: Meinungsbeiträge des BTW-Workshops zu Entwicklungen im Cloud-Datenmanagement. (German)

Autoři: Bodner, Thomas Böhm, Alexander Böther, Maximilian a další

Zdroj: Datenbank-Spektrum; Nov2025, Vol. 25 Issue 3, p187-195, 9p

Témata: DATA management, DATA warehousing, EDITORIAL writing, DATA integration, ON-demand computing

pyCapsid: identifying dominant dynamics and quasi-rigid mechanical units in protein shells.

Autoři: Brown, Colin Agarwal, Anuradha Luque, Antoni

Zdroj: Bioinformatics; Jan2024, Vol. 40 Issue 1, p1-5, 5p

Témata: SOURCE code, PROTEINS, CAPSIDS, PYTHONS

Korporace: MASSACHUSETTS Institute of Technology

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning.

Autoři: Radisic-Aberger, Ognjen Burggräf, Peter Steinberg, Fabian a další

Zdroj: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p3913-3937, 25p

Témata: MACHINE learning, ARTIFICIAL intelligence, DEEP learning, AUTOMATED planning & scheduling, PREDICTION models

A comparison of large language models and model-driven reverse engineering for reverse engineering.

Autoři: Siala, Hanan Lano, Kevin

Zdroj: Frontiers in Computer Science; 2025, p1-14, 14p