Search Results - "Python libraries"

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

Authors: Bou Hernández, Albert

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

Thesis Advisors: De Fabritiis, Gianni

Source: TDX (Tesis Doctorals en Xarxa)

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

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/694233

Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Authors: Bulut, Nurgül Çakar, Tuna Arslan, İlker et al.

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

Subject Terms: 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

Access URL: 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

Authors: A. Banyk P. Mulesa

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

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

File Description: 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

Access URL: https://doaj.org/article/12962f8480244a50bd2afa802038fa90

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

Authors: To'ychiyeva, Dilnavozxon

Subject Terms: 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

Authors: Aboohamzeh A. Avena M. Spano' Antonia

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/1d6c8709d3f84f66b06b1497537894b0

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

Authors: M. Avena G. Patrucco F. Remondino et al.

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

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

Source: urn:tid:203733142

Subject Terms: 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

File Description: application/pdf

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

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

Authors: Nuno Fachada Daniel Fernandes Carlos M. Fernandes et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

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

Authors: Sergiy Yakovlev Sergiy Shekhovtsov Lyudmyla Kirichenko et al.

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

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

File Description: application/pdf

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

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

Preprocessing of Meteorological Data for Training an Artificial Intelligence Model

Source: 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

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

File Description: application/pdf

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

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

Authors: Christopher, Chidiebere

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

COVID19 Tweeter Dataset Sentiment Analysis

Authors: Kumar, Anubhav Yun, Kyongsik Gebregzabiher, Teklay et al.

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

Subject Terms: 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

Authors: Sever, Vitomir Bernier, Nicolas Térébénec, Damien et al.

Contributors: Sever, Vitomir Bernier, Nicolas Térébénec, Damien et al.

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

Subject Terms: 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

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

Smart Mirror

Authors: Sonia, Ms. Goe, Mr. Aditya Kumar, Mr. Aneek et al.

Subject Terms: 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

Authors: Falsetta, Ettore Bullejos Lorenzo, Manuel Critelli, Salvatore et al.

Subject Terms: 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

Availability: 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

Authors: Петренко, Тетяна Григорівна Задорожний, Антон Юрійович

Source: 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

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

File Description: application/pdf

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

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

Building and predicting a neural network in python

Authors: Zulunov Ravshan Akhundjanov Umidjon Musayev Khurshid et al.

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

Subject Terms: 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

Availability: 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

Authors: Basholli, Fatmir Juraev, Davron Ormeni, Rrapo

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

Subject Terms: 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

File Description: application/pdf

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

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

Exploratory Data Analysis on Autopilot: Python's Automatic Solutions

Authors: I.V. Dwaraka Srihith A. David Donald T. Aditya Sai Srinivas et al.

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