Výsledky vyhľadávania - (( (statni OR stat) python code analysis ) OR ( (stateni OR stateeee) python code analysis ))*

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

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

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

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.

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.

Zinc as a Biomarker of Nutritional Status and Clinical Burden in Recessive Dystrophic Epidermolysis Bullosa: Implications for Preventive Monitoring.

Autori: Quintana-Castanedo, Lucía Maseda, Rocío Sánchez-Ramón, Silvia a ďalší

Zdroj: Nutrients. Jan2026, Vol. 18 Issue 2, p232. 19p.

Enhanced cattle identification using Siamese network and MobileViT with EMA attention.

Autori: Han, Mingshuo Li, Baoshan Li, Qi a ďalší

Zdroj: Frontiers in Veterinary Science. 2026, p1-15. 15p.

Cross-domain antimicrobial resistance in poultry farming: A One Health assessment of antimicrobial use and multidrug resistance in Kiambu County, Kenya.

Autori: Munene, Ann Kangai Mwangi, Peter Muiruri Bebora, Lilly Caroline a ďalší

Zdroj: Veterinary World. Jan2026, Vol. 19 Issue 1, p1-14. 14p.

Predmet: Multidrug resistance, Poultry farming, Holism, Enterococcus, Drug resistance in microorganisms, Escherichia coli, Anti-infective agents, Kenyans

Geografický termín: Kenya

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Autori: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Prispievatelia: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Zdroj: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Predmety: Nuclear reactor, Severe accident, Modelling, Uncertainty quantification, MUSA, Source Term, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/Euratom research and training programme 2014 – 2018/Euratom

Dostupnosť: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autori: Stewart, Mathew Peters, Carli Ziegler, Michael J. a ďalší

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Programmed differently? Testing for gender differences in Python programming style and quality on GitHub.

Autori: Brooke, Siân

Zdroj: Journal of Computer-Mediated Communication; Jan2024, Vol. 29 Issue 1, p1-13, 13p

Predmety: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Autori: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté a ďalší

Zdroj: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.

Sex-Specific Dietary Predictors of Blood Glucose Identified Through Decision Tree Modeling in Adults.

Autori: Gautney, Joanna Aguilar, Christina Chan, Julian a ďalší

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 19, p3119. 12p.

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, 'Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm'

Autori: Lenz, Robin Enders, Kristina Fischer, Franziska a ďalší

Predmety: microplastics microscopy image analysis python altair, scipo, stat

Relation: https://zenodo.org/record/4592320

Dostupnosť: https://zenodo.org/record/4592320

Comparative virulence study of locally circulating peste des petits ruminants virus (PPRV) strains in indigenous Ethiopian goats.

Autori: Aklilu, Fasil Ashenafi, Hagos Kassa, Tesfu a ďalší

Zdroj: BMC Veterinary Research. 10/6/2025, Vol. 21 Issue 1, p1-11. 11p.

Predmet: Peste des petits ruminants, Microbial virulence, Symptoms, Goats, Comparative studies, Seroconversion, Communicable disease control

Geografický termín: Ethiopia

ASPA 25th Congress Book of Abstract.

Autori: Renna, Manuela (AUTHOR) manuela.renna@unito.it

Zdroj: Italian Journal of Animal Science. 2025 Suppl 1, Vol. 24 Issue 1, p1-463. 463p.

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

Autori: Okoye, Stephanie I. Kim, Minjae Petty, Sara a ďalší

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

Towards the genome-scale discovery of bivariate monotonic classifiers.

Autori: Fourquet, Océane Krejca, Martin S. Doerr, Carola a ďalší

Zdroj: BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

Predmety: CLASSIFICATION, BIOMARKERS, ALGORITHMS, MACHINE learning, BIOINFORMATICS

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

Kategórie: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Autori: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a ďalší

Prispievatelia: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a ďalší

Zdroj: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Predmety: Machine Learning (cs.LG), Machine Learning (stat.ML), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Geografické téma: Bruxelles (BEL), Belgium

Dostupnosť: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590