Suchergebnisse - (( (java OR jana) and python source code ) OR ( (java OR jana) and python resource code ))~

Quantifying cross-language code reuse via function-level clone detection

Autoren: Yi Rong Yan Zhou

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Schlagwörter: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

Context‐based transfer learning for low resource code summarization.

Autoren: Guo, Yi Chai, Yu Zhang, Lehuan et al.

Quelle: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p465-482, 18p

Schlagwörter: SOFTWARE maintenance, TRANSFER of training, LANGUAGE models, JAVA programming language, SOURCE code, NEURAL circuitry

A detection process to create awareness of source-code plagiarism among students using it to pass introductory programming.

Autoren: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

Quelle: Independent Journal of Teaching & Learning; 2024, Vol. 19 Issue 1, p79-92, 14p

Schlagwörter: PLAGIARISM, STUDENTS, COVID-19 pandemic, PYTHON programming language, AWARENESS

Using ChatGPT as a Static Application Security Testing Tool.

Autoren: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir et al.

Quelle: ISeCure; Nov2023, Vol. 15 Issue 3, p1-8, 8p

Schlagwörter: CHATGPT, ARTIFICIAL intelligence, SOURCE code, PYTHON programming language, NATURAL languages

Towards a Block-Level ML-Based Python Vulnerability Detection Tool.

Autoren: Bagheri, Amirreza Hegedűs, Péter

Quelle: Acta Cybernetica; 2024, Vol. 26 Issue 3, p323-371, 49p

Schlagwörter: COMPUTER software, SOURCE code, SYSTEM failures, DEEP learning, MACHINE learning

Context‐based transfer learning for low resource code summarization

Autoren: Yi Guo Yu Chai Lehuan Zhang et al.

Quelle: Software: Practice and Experience. 54:465-482

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Enhancing Code Summarization with Graph Embedding and Pre-Trained Model.

Autoren: Li, Lixuan Li, Jie Xu, Yihui et al.

Quelle: International Journal of Software Engineering & Knowledge Engineering. Nov/Dec2023, Vol. 33 Issue 11/12, p1765-1786. 22p.

Schlagwörter: *PROGRAMMING languages, *INFORMATION resources, LANGUAGE models, SOURCE code, PYTHON programming language

FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology.

Autoren: Groza, Tudor Gration, Dylan Baynam, Gareth et al.

Quelle: Bioinformatics. Jul2024, Vol. 40 Issue 7, p1-8. 8p.

Schlagwörter: *LANGUAGE models, *HUMAN phenotype, *SOURCE code, *NATURAL languages, *PHENOTYPES

Sweet Taste Adaptation to Sugars, Sucralose, and Their Blends: A Human and Rodent Perspective.

Autoren: Okoye, Stephanie I. Kim, Minjae Petty, Sara et al.

Quelle: Nutrients. Oct2025, Vol. 17 Issue 19, p3075. 16p.

A Method for Automated Detection of Chicken Coccidia in Vaccine Environments.

Autoren: Li, Ximing Wang, Qianchao Chen, Lanqi et al.

Quelle: Veterinary Sciences. Sep2025, Vol. 12 Issue 9, p812. 24p.

OCR Using Python and Its Application.

Autoren: Mukherjee, Sumita Tyagi, Hritik Tyagi, Purushautam et al.

Quelle: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p1083-1092. 10p.

Python source code plagiarism attacks on introductory programming course assignments.

Autoren: Karnalim, Oscar

Quelle: Themes in Science & Technology Education; 2017, Vol. 10 Issue 1, p17-29, 13p

Schlagwörter: PLAGIARISM -- Universities & colleges, UNDERGRADUATES, PYTHON programming language

Detection of African Swine Fever Virus Genotype II in West Africa (2020) and Its Co‐Circulation With Endemic Genotype I: Implications for Pig Production.

Autoren: Meki, Irene Kasindi Adedeji, Adeyinka Jeremy Ouoba, Lalidia Bruno et al.

Quelle: Transboundary & Emerging Diseases. 6/10/2025, Vol. 2025, p1-14. 14p.

Do Programmers Prefer Predictable Expressions in Code?

Autoren: Casalnuovo C Lee K Wang H et al.

Quelle: Cognitive science [Cogn Sci] 2020 Dec; Vol. 44 (12), pp. e12921.

Publikationsart: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.

Info zur Zeitschrift: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 7708195 Publication Model: Print Cited Medium: Internet ISSN: 1551-6709 (Electronic) Linking ISSN: 03640213 NLM ISO Abbreviation: Cogn Sci Subsets: MEDLINE

MeSH-Schlagworte: Comprehension* , Language* , Probability* , Programming Languages*, Cognition ; Humans ; Reading ; Writing

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoren: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Quelle: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach.

Autoren: Lasser, Jana Matzhold, Caspar Egger-Danner, Christa et al.

Quelle: Journal of Animal Science. Nov2021, Vol. 99 Issue 11, p1-14. 14p.

Schlagworte: Dairy cattle, Machine learning, Sensitivity & specificity (Statistics), Animal herds, Sports nutrition, Livestock farms, Mastitis, Animal breeding

Geografische Kategorien: Austria

Retrospective study on the occurrence of Salmonella serotypes in veterinary specimens of Atlantic Canada (2012–2021).

Autoren: Ojha, Shivani Thakur, Krishna K. Ojasanya, Rasaq A. et al.

Quelle: Veterinary Medicine & Science. Jul2024, Vol. 10 Issue 4, p1-16. 16p.

Schlagworte: Salmonella enterica serovar typhimurium, Salmonella, Serotypes, Whole genome sequencing, Introduced species

Geografische Kategorien: Munich (Germany)

Asynchronous Execution Platform for Edge Node Devices.

Autoren: Singh, Pratyush D., Rithik Kumar Jha Krishna, Sai et al.

Quelle: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p586-592. 7p.

The statistical building blocks of animal movement simulations.

Autoren: Getz, Wayne M. Salter, Richard Sethi, Varun et al.

Quelle: Movement Ecology. 9/30/2024, Vol. 12 Issue 1, p1-24. 24p.

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)