Výsledky vyhľadávania - (strategic OR stat) python code analysis~

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Autori: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Zdroj: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Predmety: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Influencer strategies and consignment policy optimisation: paving the way for a sustainable circular economy in a clean world.

Autori: Kalboussi, Eya Sakji, Imen Ndhaief, Nadia a ďalší

Zdroj: International Journal of Production Research. Oct2025, Vol. 63 Issue 20, p7728-7752. 25p.

Predmety: *WASTE recycling, *CIRCULAR economy, *GREENHOUSE gas mitigation, *EVIDENCE-based policy, *STAKEHOLDER analysis, *INTERNET marketing, GLASS recycling

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Predmety: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autori: Dunker, Fabian Mendoza, Emil Reale, Marco

Zdroj: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Predmety: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autori: Golestani, Ali M. Gee, Julia M.

Zdroj: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Predmety: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

User-Centric Study and Enhancement of Python Static Code Analysers

Autori: Chen, Steven Söderberg, Emma McCabe, Alan a ďalší

Prispievatelia: Chen, Steven Söderberg, Emma McCabe, Alan a ďalší

Zdroj: Proceedings of the 34th Annual Workshop of the Psychology of Programming Interest Group PPIG: 34th Annual Meeting of the Psychology of Programming Interest Group.

Predmety: Natural Sciences, Computer and Information Sciences, Software Engineering, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Programvaruteknik

Prístupová URL adresa: https://www.ppig.org/files/2023-PPIG-34th-chen.pdf

XeroGraph: enhancing data integrity in the presence of missing values with statistical and predictive analysis

Autori: Mousafi Alasal, Laila Hammarlund, Emma U Pienta, Kenneth J a ďalší

Prispievatelia: Mousafi Alasal, Laila Hammarlund, Emma U Pienta, Kenneth J a ďalší

Zdroj: Bioinformatics Advances. 5(1):1-6

Predmety: Natural Sciences, Biological Sciences, Bioinformatics and Computational Biology, Naturvetenskap, Biologi, Bioinformatik och beräkningsbiologi

Prístupová URL adresa: https://doi.org/10.1093/bioadv/vbaf035

Replication package for code review as decision-making

Autori: Gullstrand Heander, Lo Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Software Development and Environments, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Programvaruteknik, Originator Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator a ďalší

Prispievatelia: Gullstrand Heander, Lo Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Software Development and Environments, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Programvaruteknik, Originator Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator a ďalší

Predmety: Natural Sciences, Computer and Information Sciences, Naturvetenskap, Data- och informationsvetenskap (Datateknik)

Prístupová URL adresa: https://doi.org/10.5281/zenodo.15758266

Disciplinary strategies or reactive measures? An analysis of coach sanctions in elite Danish handball leagues.

Autori: Gençoğlu, Celal Gümüş, Hikmet

Zdroj: International Journal of Sports Science & Coaching; Dec2025, Vol. 20 Issue 6, p2309-2317, 9p

Data and Code supporting the paper titled SOLARIS: A Strategic Actor-Oriented Framework for Enabling the Large-Scale Deployment of Photovoltaic Energy Systems in Urban Areas.

Autori: Arthllan Oliveira de Sousa, Joyce

Relation: https://zenodo.org/records/13840995; oai:zenodo.org:13840995; https://doi.org/10.5281/zenodo.13840995

Dostupnosť: https://doi.org/10.5281/zenodo.13840995
https://zenodo.org/records/13840995

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autori: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a ďalší

Témy: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141

Optimization of Marginal Price Forecasting in Mexico through applying Machine Learning Models.

Autori: Guzmán Escobar, Marcos Fidel Aguilar Lasserre, Alberto Alfonso Del Moral Argumedo, Marco Julio a ďalší

Zdroj: International Journal of Combinatorial Optimization Problems & Informatics. Nov2024, Vol. 15 Issue 4, p19-41. 23p.

Predmety: *MACHINE learning, *RECURRENT neural networks, *MARGINAL pricing, *PREDICTION models, *NEURAL codes

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autori: Astvansh, Vivek Simpson, Joseph J.

Zdroj: Manufacturing & Service Operations Management (M&SOM); Jan/Feb2026, Vol. 28 Issue 1, p326-341, 16p

Predmety: OPERATIONAL risk, TRANSFORMER models, STAKEHOLDER theory, LEGAL liability, FINANCIAL disclosure, EMPIRICAL research, NUMERICAL analysis

Geografický termín: UNITED States

Python Programming: Numerical Analysis/Machine Learning Series.

Autori: Doskas, Constantinos

Zdroj: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Predmety: PYTHON programming language, NUMERICAL analysis, MACHINE learning

The Association Between Mediterranean Diet -Related Health Literacy, Cooking Skills and Mediterranean Diet Adherence in the Spanish Population.

Autori: Casucci, Maria Giulia Muñoz-Martínez, Júlia Caneda-Ferrón, Begoña a ďalší

Zdroj: Nutrients. Jan2026, Vol. 18 Issue 2, p235. 14p.

A FASTER MULTIPOLE LEGENDRE-CHEBYSHEV TRANSFORM.

Autori: MORTENSEN, MIKAEL

Zdroj: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 6, pA3803-A3826, 24p

Predmety: FAST multipole method, MACBOOK Pro, DISCRETE cosine transforms, ALGORITHMS, PYTHON programming language

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Autori: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Predmety: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

Comprehensive Analysis of Programming Language Idioms and Their Application to Software Quality

Autori: Zhang, Zejun

Témy: Thesis (PhD)

URL: https://hdl.handle.net/1885/733724837

Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State.

Autori: Jansen, Nathan D. Hunt, Katharine L. C.

Zdroj: Entropy; Sep2025, Vol. 27 Issue 9, p891, 21p

Predmety: ENTROPY, QUANTUM entanglement, STATISTICAL accuracy, HAMILTONIAN mechanics, ISING model, QUANTUM computing, QUANTUM computers

Korporácia: INTERNATIONAL Business Machines Corp.

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Autori: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Zdroj: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.