Suchergebnisse - (( (staten OR (statene OR statee)) python code analysis ) OR ( state python code analysis ))~
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Autoren: Ramón-Cortés Vilarrodona, Cristián
Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica
Dateibeschreibung: application/pdf
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Autoren:
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
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Quelle: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)
Schlagwörter: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.
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Autoren: et al.
Quelle: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.
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Autoren:
Quelle: IEEE Access, Vol 13, Pp 202482-202499 (2025)
Schlagwörter: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Dateibeschreibung: electronic resource
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Autoren:
Weitere Verfasser:
Quelle: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial
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Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.
Autoren:
Quelle: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p
Schlagwörter: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability
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Autoren: et al.
Quelle: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.
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Autoren:
Quelle: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.
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Autoren: Frantz, Miles Eugene
Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian
Schlagwörter: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark
Dateibeschreibung: ETD; application/pdf
Verfügbarkeit: https://hdl.handle.net/10919/121100
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Autoren:
Quelle: Nigerian Medical Journal; 2025, Vol. 66 Issue 3, p973-982, 10p
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Autoren: V.V. Samarov
Quelle: Надежность и качество сложных систем, Iss 2 (2023)
Schlagwörter: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2307-4205
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Autoren: et al.
Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p
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Autoren: et al.
Quelle: Future Internet, Vol 17, Iss 9, p 412 (2025)
Schlagwörter: large language models, code generation, Python libraries, Information technology, T58.5-58.64
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.
Schlagwörter: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation
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Autoren: et al.
Quelle: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.
Schlagwörter: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks
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Autoren:
Quelle: Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease
McRae AD, Macci AJ, Holodinsky JK, Sajobi TT, Andruchow JE, Borgundvaag B, Brooks S, Cheng I, Deb S, Fok P, Kavsak PA, Graham MM, Lee J, McLeod SL, Scheuermeyer F, Thiruganasambandamoorthy V, Wiemer H, Yan JW, Hohl CM. Development of a Novel Risk-Prediction Tool for Emergency Department Patients with Symptoms of Coronary Artery Disease: A Research Study Protocol. CJC Open. 2025 Mar 26;7(6):777-783. doi: 10.1016/j.cjco.2025.03.016. eCollection 2025 Jun. -
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Autoren: et al.
Quelle: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.
Schlagwörter: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning
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