Výsledky vyhľadávania - (( (stateneene OR state) python code analysis ) OR ( (stateinye OR stateee) python code analysis ))
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Autori: a ďalší
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Autori: a ďalší
Zdroj: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.
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Autori: a ďalší
Zdroj: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p
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Autori: Frantz, Miles Eugene
Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian
Predmety: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark
Popis súboru: ETD; application/pdf
Dostupnosť: https://hdl.handle.net/10919/121100
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Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p
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Zdroj: Programming & Computer Software. Aug2023, Vol. 49 Issue 4, p302-309. 8p.
Predmety: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS
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Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.
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Zdroj: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p
Predmety: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability
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Zdroj: International Journal of Software Engineering & Knowledge Engineering. Oct2023, Vol. 33 Issue 10, p1567-1597. 31p.
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Autori: a ďalší
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Autori: a ďalší
Zdroj: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6
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Zdroj: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.
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Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge
Zdroj: TDX (Tesis Doctorals en Xarxa)
Predmety: 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
Popis súboru: application/pdf
Prístupová URL adresa: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142
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