Suchergebnisse - jana AND python resource code*

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

Autoren: Idkowiak, Jakub Dehairs, Jonas Schwarzerová, Jana et al.

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

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

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

Autoren: Sun, Zhensu Du, Xiaoning Song, Fu et al.

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

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

Highway traffic monitoring independent to shadows in OpenCV.

Autoren: Hasal, Martin Nowakova, Jana Tomaszek, Lukas et al.

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

Schlagwörter: TRAFFIC monitoring, SUNSHINE, PYTHON programming language

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

Autoren: Jakub Idkowiak Jonas Dehairs Jana Schwarzerová et al.

Quelle: Nature Communications, Vol 16, Iss 1, Pp 1-19 (2025)

Schlagwörter: Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2041-1723

Zugangs-URL: https://doaj.org/article/4e901a73a34347ffbef54049de5ac663

Artifact for 'HiPy: Extracting High-Level Semantics From Python Code For Data Processing'

Autoren: Jungmair, Michael orcid:0000-0003-1900- Engelke, Alexis et al.

Relation: https://zenodo.org/records/13323059; oai:zenodo.org:13323059; https://doi.org/10.5281/zenodo.13323059

Verfügbarkeit: https://doi.org/10.5281/zenodo.13323059
https://zenodo.org/records/13323059

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

Autoren: Graefe, Adam S. L. Rehburg, Filip Alkarkoukly, Samer et al.

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

An intelligent job scheduling and real-time resource optimization for edge-cloud continuum in next generation networks.

Autoren: Naeem, Awad Bin Senapati, Biswaranjan Rasheed, Jawad et al.

Quelle: Scientific Reports; 11/22/2025, Vol. 15, p1-15, 15p

Schlagwörter: 6G networks, ARTIFICIAL intelligence, SCHEDULING software, GREEDY algorithms, EDGE computing, RESOURCE allocation, REAL-time computing, SCHEDULING

Accountability in Code Review: The Role of Intrinsic Drivers and the Impact of LLMs.

Autoren: Alami, Adam Jensen, Victor Ernst, Neil

Quelle: ACM Transactions on Software Engineering & Methodology; Nov2025, Vol. 34 Issue 8, p1-44, 44p

Schlagwörter: COMPUTER software development, LANGUAGE models, ORGANIZATIONAL accountability, INCENTIVE (Psychology), GOVERNMENT accountability, ARTIFICIAL intelligence, PROFESSIONAL peer review, SOCIAL systems

decoupleR: ensemble of computational methods to infer biological activities from omics data.

Autoren: Badia-i-Mompel, Pau Santiago, Jesús Vélez Braunger, Jana et al.

Quelle: Bioinformatics Advances; 2022, Vol. 2 Issue 1, p1-3, 3p

Schlagwörter: PYTHON programming language, INFORMATION retrieval, PERTURBATION theory, BIOINFORMATICS

Reviews & Products: BIOCONDUCTOR (Computer software)

CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution

Autoren: Jana, Prithwish Jha, Piyush Ju, Haoyang et al.

Index Begriffe: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, Computer Science - Software Engineering, I.2.7, I.2.5, D.2, text

URL: http://arxiv.org/abs/2306.06755

Benchmarking WebAssembly for Embedded Systems.

Autoren: MORON, KONARD WALLENTOWITZ, STEFAN

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

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)

Autoren: Bodner, Thomas Böhm, Alexander Böther, Maximilian et al.

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

Creating accessible browser-based interactive content for teaching physiology and pharmacology: options for nonprogrammers.

Autoren: Samways, Damien S. K. Yousef, Lara Sheffield, Scott A.

Quelle: Advances in Physiology Education; Dec2025, Vol. 49 Issue 4, p1-7, 7p

Schlagwörter: PHYSIOLOGY education, JAVASCRIPT programming language, PHARMACOLOGISTS, GENERATIVE artificial intelligence, EDUCATIONAL resources, COLLEGE teachers, EXPERIENTIAL learning

Atomistic global optimization X: A Python package for optimization of atomistic structures.

Autoren: Christiansen, Mads-Peter V. Rønne, Nikolaj Hammer, Bjørk

Quelle: Journal of Chemical Physics; 8/7/2022, Vol. 157 Issue 5, p1-16, 16p

Schlagwörter: GLOBAL optimization, PYTHON programming language, FULLERENES, MATHEMATICAL optimization, AMORPHOUS substances, NITRIDES

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

Autoren: Shang, Xiuwei Fu, Zhenkan Cheng, Shaoyin et al.

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

All-atom protein sequence design using discrete diffusion models.

Autoren: Villegas-Morcillo, Amelia Admiraal, Gijs J. Reinders, Marcel J. T. et al.

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

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

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

Autoren: Petrosa, Dino Haverkamp, Pamela Backes, Jana Gerta et al.

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

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

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

Autoren: Plehati, Silvio Bernašek Petrinec, Aleksandra Bogović, Tomislav et al.

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

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

iWEEMS: Interactive Word Embeddings for Early Modern Science.

Autoren: Kaše, Vojtěch Švadlenková, Jana Tvrz, Jan et al.

Quelle: Journal of Open Humanities Data; 2025, Vol. 11 Issue 1, p1-9, 9p

Schlagwörter: HISTORY of science, VISUALIZATION, RESEARCH methodology, CORPORA, WEB-based user interfaces

Enhancing fork and join based workflow scheduling model in cloud computing.

Autoren: Namdev, Kanchan Rajak, Ranjit

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-43, 43p

Schlagwörter: CLOUD computing, WORKFLOW management, PRODUCTION scheduling, VIRTUAL machine systems, QUALITY of service, RESOURCE allocation