Výsledky vyhľadávania - "python libraries"

Modular approaches and applications in reinforcement learning development and validation of next-generation frameworks

Autori: Bou Hernández, Albert

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: De Fabritiis, Gianni

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Deep reinforcement learning, Decision-making algorithms, Python libraries, PyTorch, TorchRL, Drug design

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/694233

Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Autori: Bulut, Nurgül Çakar, Tuna Arslan, İlker a ďalší

Zdroj: International Journal of Statistics in Medical Research. 14:532-542

Predmety: Matplotlib 3.6.0, Adult, Explainable Artificial Intelligence, Scikit-Learn 1.1.3, Major Clinical Study, Neuropsychiatric Inventory, Deep Neural Network, Python Programming Language Version 3.10, Learning Algorithm, Alzheimer's Disease, Sensitivity and Specificity, Article, Machine Learning, Python Libraries Numpy 1.23.0, Artificial Intelligence, Alzheimer Disease, Controlled Study, Neuropathology, Artificial Learning Algorithm, Aged, Principal Component Analysis, Tensorflow 2.10, Nuclear Magnetic Resonance Imaging, Random Forest, Receiver Operating Characteristic, National Alzheimer's Coordinating Center, Depression, Bayesian Learning, Geriatric Depression Scale, Machine Learning Algorithm, Mini Mental State Examination, Decision Support System, Shapley Addictive Explanations, Statsmodel 0.13.5, Logistic Regression Analysis, Montreal Cognitive Assessment, Physician, Pandas 1.5.0, Diagnostic Test Accuracy Study, Cognitive Defect, XGBoost, Human

Prístupová URL adresa: https://hdl.handle.net/20.500.11779/3094
https://doi.org/10.6000/1929-6029.2025.14.50

Artificial intelligence techniques for real-time visualisation of big data graph models

Autori: A. Banyk P. Mulesa

Zdroj: Ìнформаційні технології та компʼютерна інженерія, Vol 22, Iss 1, Pp 42-54 (2025)

Predmety: machine learning, interactive format, clustering and principal components, python libraries, unity capabilities, Computer engineering. Computer hardware, TK7885-7895

Popis súboru: electronic resource

Relation: https://itce.vn.ua/journals/t-22-1-2025/metodi-shtuchnogo-intelektu-dlya-vizualizatsiyi-grafovikh-modeley-velikikh-danikh-u-realnomu-chasi; https://doaj.org/toc/1999-9941; https://doaj.org/toc/2078-6387

Prístupová URL adresa: https://doaj.org/article/12962f8480244a50bd2afa802038fa90

PYTHONDA STATISTIK HISOB-KITOBLARNI AMALGA OSHIRUVCHI KUTUBXONALAR VA ULAR BILAN ISHLASH

Autori: To'ychiyeva, Dilnavozxon

Predmety: Kalit so'zlar: statistik hisob, Python kutubxonalari, NumPy, pandas, SciPy, statsmodels, scikit-learn, korrelatsiya, normallikni tekshirish, T-test, regressiya, Ключевые слова: статистические вычисления, библиотеки Python, NumPy, pandas, SciPy, statsmodels, scikit-learn, корреляция, проверка на нормальность, t-критерий Стьюдента, регрессия, Keywords: statistical computations, Python libraries, NumPy, pandas, SciPy, statsmodels, scikit-learn, correlation, normality testing, T-test, regression

Automating Built Heritage Modelling for the Integration into 3D City Models

Autori: Aboohamzeh A. Avena M. Spano' Antonia

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W10-2024, Pp 5-12 (2024)

Predmety: Technology, 11. Sustainability, 0211 other engineering and technologies, 3D modelling, 3D Python libraries, LoDs, automatic/semiautomatic 3D meshing, point cloud filtering, 3D geodatabases, Applied optics. Photonics, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences, TA1501-1820, 0105 earth and related environmental sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-4-W10-2024/5/2024/
https://doaj.org/article/f10fde412b4d4db685f15a0c56b5a33b
https://isprs-archives.copernicus.org/articles/XLVIII-4-W10-2024/5/2024/
https://hdl.handle.net/11583/2990453
https://doi.org/10.5194/isprs-archives-XLVIII-4-W10-2024-5-2024

Development of a PYTHON library for a mathematical model of nuclear reactor kinetics

Autori: Aleksei G. Goryunov Danil D. Kachanov Kirill D. Kachanov

Zdroj: Известия Томского политехнического университета: Промышленная кибернетика, Vol 3, Iss 1, Pp 13-20 (2025)

Predmety: modeling, reactor kinetics, control algorithm, python libraries, Cybernetics, Q300-390, Computer software, QA76.75-76.765, Computer engineering. Computer hardware, TK7885-7895

Popis súboru: electronic resource

Relation: https://indcyb.ru/journal/article/view/83/68; https://doaj.org/toc/2949-5407

Prístupová URL adresa: https://doaj.org/article/1d6c8709d3f84f66b06b1497537894b0

A SCALABLE APPROACH FOR AUTOMATING SCAN-TO-BIM PROCESSES IN THE HERITAGE FIELD

Autori: M. Avena G. Patrucco F. Remondino a ďalší

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W4-2024, Pp 25-31 (2024)

Predmety: Technology, 0211 other engineering and technologies, Applied optics. Photonics, 02 engineering and technology, HBIM, Scan-to-BIM, Multi-scale models, Semantic Segmentation, VPL, 3D Python libraries, Machine Learning, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences, TA1501-1820, 0105 earth and related environmental sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-2-W4-2024/25/2024/
https://doaj.org/article/3d3e9ad9258d47129361ddbea08e353a
https://hdl.handle.net/11583/2988661
https://isprs-archives.copernicus.org/articles/XLVIII-2-W4-2024/25/2024/
https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-25-2024

Web scraping and analysis of car data

Agregamento e análise de dados de automóveis

Autori: Silva, João Luís Magalhães da Araújo, Susana Cláudia Nicola de REPOSITÓRIO P.PORTO

Prispievatelia: Silva, João Luís Magalhães da Araújo, Susana Cláudia Nicola de REPOSITÓRIO P.PORTO

Zdroj: urn:tid:203733142

Predmety: Web scraping, Data analysis, Application, Data extraction, Data insertion, Python libraries, Car data, Agregamento de dados, Análise de dados, Aplicação, Extração de dados, Inserção de dados, Bibliotecas Python, Dados de automóveis

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10400.22/26596

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

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

Zdroj: Future Internet, Vol 17, Iss 9, p 412 (2025)

Predmety: large language models, code generation, Python libraries, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Prístupová URL adresa: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

Continuous Maximum Coverage Location Problem with Arbitrary Shape of Service Areas and Regional Demand

Autori: Sergiy Yakovlev Sergiy Shekhovtsov Lyudmyla Kirichenko a ďalší

Zdroj: Symmetry ; Volume 17 ; Issue 5 ; Pages: 676

Predmety: regional demand, service areas, continuous maximum coverage location problem, extended elastic model, symmetry, circle, nonlinear optimization, Python libraries

Popis súboru: application/pdf

Relation: Mathematics; https://dx.doi.org/10.3390/sym17050676

Dostupnosť: https://doi.org/10.3390/sym17050676

Preprocessing of Meteorological Data for Training an Artificial Intelligence Model

Zdroj: Information and control systems at railway transport; Vol. 29 No. 4 (2024): Information and control systems at railway transport; 39-48
Информационно-управляющие системы на железнодорожном транспорте; Том 29 № 4 (2024): Інформаційно-керуючі системи на залізничному транспорті; 39-48
Інформаційно-керуючі системи на залізничному транспорті; Том 29 № 4 (2024): Інформаційно-керуючі системи на залізничному транспорті; 39-48

Predmety: weather API, weather data preprocessing, statistical analysis, Python libraries, MongoDB Atlas, API метеоресурсів, попередня обробка метеоданих, статистичний аналіз, бібліотеки Python, MongoDB Atlas

Popis súboru: application/pdf

Prístupová URL adresa: http://jiks.kart.edu.ua/article/view/320375

pyedahelper: A Guided Python Library for Simplified and Educational Exploratory Data Analysis

Autori: Christopher, Chidiebere

Predmety: usability, educational tools, open-source application, exploratory data analysis, python libraries

COVID19 Tweeter Dataset Sentiment Analysis

Autori: Kumar, Anubhav Yun, Kyongsik Gebregzabiher, Teklay a ďalší

Zdroj: 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT). :110-115

Predmety: Machine Learning, Tweeter Data Set, COVID19, Python Libraries, Sentiment Analysis, NLP, 3. Good health

Quantitative Scanning Transmission Electron Microscopy–High‐Angle‐Annular Dark‐Field Study of the Structure of Pseudo‐2D Sb2Te3 Films Grown by (Quasi) Van der Waals Epitaxy

Autori: Sever, Vitomir Bernier, Nicolas Térébénec, Damien a ďalší

Prispievatelia: Sever, Vitomir Bernier, Nicolas Térébénec, Damien a ďalší

Zdroj: physica status solidi (RRL) – Rapid Research Letters.

Predmety: Composition analysis, scanning transmission electron microscopy–high-angle-annular dark-field images, Physique, chimie, mathématiques & sciences de la terre, Van der Waal, Thermal vibrations, lattice parameters, chalcogenide phase-change materials, Physical, chemical, mathematical & earth Sciences, Pseudo-2D, General Materials Science, Scanning transmission electron microscopy, Python library, Thermal vibration, Physique, composition analyses, Physics, thermal vibrations, Van der Waals epitaxy, Condensed Matter Physics, [PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Scanning transmission electron microscopy–high-angle-annular dark-field image, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Chalcogenide phase-change material, Python libraries, Materials Science (all), Scanning transmission electron microscopy–high-angle-annular dark-field images, Sb2Te3, High-angle annular dark-field images

Prístupová URL adresa: https://hal.science/hal-04554979v1
https://doi.org/10.1002/pssr.202300402

Smart Mirror

Autori: Sonia, Ms. Goe, Mr. Aditya Kumar, Mr. Aneek a ďalší

Predmety: Smart Mirror, Python libraries, weather updates, calendar events

3D modeling of the stratigraphic and structural architecture of the Crotone basin (southern Italy) using machine learning with Python

Autori: Falsetta, Ettore Bullejos Lorenzo, Manuel Critelli, Salvatore a ďalší

Predmety: Python libraries, KNN algorithm, 3D stratigraphic and structural architecture

Relation: E. Falsetta et al. Marine and Petroleum Geology 164 (2024) 106825. [https://doi.org/10.1016/j.marpetgeo.2024.106825]; https://hdl.handle.net/10481/92920

Dostupnosť: https://hdl.handle.net/10481/92920
https://doi.org/10.1016/j.marpetgeo.2024.106825

Preprocessing of Meteorological Data for Training an Artificial Intelligence Model ; Підготовка метеорологічних даних для навчання моделі штучного інтелекту

Autori: Петренко, Тетяна Григорівна Задорожний, Антон Юрійович

Zdroj: Information and control systems at railway transport; Vol. 29 No. 4 (2024): Information and control systems at railway transport; 39-48 ; Информационно-управляющие системы на железнодорожном транспорте; Том 29 № 4 (2024): Інформаційно-керуючі системи на залізничному транспорті; 39-48 ; Інформаційно-керуючі системи на залізничному транспорті; Том 29 № 4 (2024): Інформаційно-керуючі системи на залізничному транспорті; 39-48 ; 2413-3833 ; 1681-4886

Predmety: API метеоресурсів, попередня обробка метеоданих, статистичний аналіз, бібліотеки Python, MongoDB Atlas, weather API, weather data preprocessing, statistical analysis, Python libraries

Popis súboru: application/pdf

Relation: http://jiks.kart.edu.ua/article/view/320375/310946; http://jiks.kart.edu.ua/article/view/320375

Dostupnosť: http://jiks.kart.edu.ua/article/view/320375

Building and predicting a neural network in python

Autori: Zulunov Ravshan Akhundjanov Umidjon Musayev Khurshid a ďalší

Zdroj: E3S Web of Conferences, Vol 508, p 04005 (2024)

Predmety: artificial intelligence, python libraries, neural network, prediction, regression, Environmental sciences, GE1-350

Relation: https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/38/e3sconf_greenenergy2024_04005.pdf; https://doaj.org/toc/2267-1242; https://doaj.org/article/37f453ba552f4aa582e353b7b0f42b6a

Dostupnosť: https://doi.org/10.1051/e3sconf/202450804005
https://doaj.org/article/37f453ba552f4aa582e353b7b0f42b6a

Python, in engineering education for artificial intelligence and machine learning ; Python, ne edukimin inhinierik per inteligjencen artificjale dhe mesimin e makinerive

Autori: Basholli, Fatmir Juraev, Davron Ormeni, Rrapo

Zdroj: Optime; No. 2 (2024): Optime; 507-515 ; 2220-461X ; 10.55312/op.vi2

Predmety: Python, Inteligjenca Artificiale (IA), Mësimi i Makinerive (ML), Përpunimi i të Dhënave, Biblioteka Python, Edukimi dhe Teknologjia, Artificial Intelligence (IA), Machine Learning (ML), Data Processing, Python Libraries, Education and Technology

Popis súboru: application/pdf

Relation: https://albanica.al/optime/article/view/6188/6151; https://albanica.al/optime/article/view/6188

Dostupnosť: https://albanica.al/optime/article/view/6188

Exploratory Data Analysis on Autopilot: Python's Automatic Solutions

Autori: I.V. Dwaraka Srihith A. David Donald T. Aditya Sai Srinivas a ďalší

Predmety: Python libraries, time-saving, data science, machine learning, Automatic EDA, information, statistics, data, code