Suchergebnisse - (( (stateeen OR stat) python code analysis ) OR ( (statpoint OR stateeee) python code analysis ))*
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Autoren: Tarek A. Atwan
Resource Type: eBook.
Schlagworte: Python (Computer program language), Machine learning
Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics
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Autoren: Vasilis Pagonis
Resource Type: eBook.
Schlagworte: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy
Categories: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General
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Autoren:
Resource Type: eBook.
Schlagworte: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs
Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software
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Autoren: et al.
Körperschaften: et al.
Quelle: Internal and emergency medicine [Intern Emerg Med] 2026 Jan; Vol. 21 (1), pp. 219-229. Date of Electronic Publication: 2025 Apr 21.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE; In Process
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Autoren:
Relation: https://zenodo.org/records/10120463; oai:zenodo.org:10120463; https://doi.org/10.5281/zenodo.10120463
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Autoren: et al.
Quelle: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.
Schlagwörter: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION
Geografische Kategorien: FLORIDA
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Autoren: et al.
Quelle: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE
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Autoren:
Resource Type: eBook.
Schlagworte: Python (Computer program language)
Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development
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Autoren: et al.
Quelle: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
Schlagwörter: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat
Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1
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Autoren: Sandipan Dey
Resource Type: eBook.
Schlagworte: Python (Computer program language), Image processing, Machine learning, Computer vision
Categories: COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Languages / Python
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Autoren: et al.
Schlagwörter: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH
Dateibeschreibung: jMRUI http://www.jmrui.eu/ python www.python.org Excel; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream
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Autoren: Rick van Hattem
Resource Type: eBook.
Schlagworte: Python (Computer program language)
Categories: COMPUTERS / Languages / Python
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Applied and Computational Harmonic Analysis. 48:445-481
Schlagwörter: FOS: Computer and information sciences, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Computer Science - Information Theory, Gaussian processes, super-resolution, Mathematics - Statistics Theory, Kac-Rice formula, Statistics Theory (math.ST), 01 natural sciences, Parametric hypothesis testing, 94A08, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 62J05, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], hypothesis testing, FOS: Mathematics, 62F03, 0101 mathematics, Gaussian process, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], 62H15, secondary 60E05, Super-Resolution, Information Theory (cs.IT), Probability (math.PR), MSC 2010 subject classifications: Primary 62E15, Hypothesis Testing, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], 60G15, 62E15, 62F03, 60G15, 62H10, 62H15 (Primary) 60E05, 60G10, 62J05, 94A08 (secondary), [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], Gaussian Process, Image processing (compression, reconstruction, etc.) in information and communication theory, 62H10, 60G10, Mathematics - Probability
Dateibeschreibung: application/xml; application/pdf
Zugangs-URL: https://www.sciencedirect.com/science/article/am/pii/S1063520318301556
http://arxiv.org/abs/1706.00679
https://zbmath.org/7140143
https://doi.org/10.1016/j.acha.2018.07.001
https://inria.hal.science/hal-01686434v1/document
https://inria.hal.science/hal-01686434v1
https://hal.science/hal-04955851v1
https://doi.org/10.1016/j.acha.2018.07.001 -
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Autoren:
Quelle: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.
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Autoren:
Resource Type: eBook.
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Autoren: et al.
Quelle: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p
Schlagwörter: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE
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Autoren: Ekaterina Kochmar
Resource Type: eBook.
Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python
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Autoren: et al.
Quelle: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p
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Autoren:
Quelle: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p
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Autoren: et al.
Quelle: oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10.5061/dryad.8b146 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; re3data_____::r3d100000044 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
Schlagwörter: Life sciences, medicine and health care, face, EEG, multivariate, planar gradient, mutual information, meg, n170, statistics, neuroimaging, stat, psy
Verfügbarkeit: https://doi.org/10.5061/dryad.8b146
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