• Suche: Python Machine Learning Case Studies

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241

Control of a Three-Phase Grid-Connected Voltage-Sourced Converter Using Long Short-Term Memory Networks.
Ghidewon-Abay, Sengal ; Mehrizi-Sani, Ali
Energies (19961073). Jan2023, Vol. 16 Issue 1, p453. 16p.

DEEP learning ROBUST control ELECTRON tube grids MACHINE learning ELECTRIC potential
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242

MASTERING THE CONCEPTS OF MACHINE LEARNING
Dr. E. LAXMI LYDIA ; Dr. NAIF ALMAKAYEEL ; Dr. SUNEETHA MANNE ; et al.

Buch
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243

Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields.
Wang, Lijing ; Kitanidis, Peter K. ; Caers, Jef
Water Resources Research; May2022, Vol. 58 Issue 5, p1-26, 26p

HYDRAULIC measurements PYTHON programming langu... CEPHALOMETRY DATA distribution PRINCIPAL components ana...
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245

PYTHON IN FINANCE: REVOLUTIONIZING FINANCIAL SERVICES
Researcher

Python in Finance, Algor...
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246

AI-Powered Fall Risk Prediction in Nursing Care
Ahmet Ceviz, Research Assistant in the Department of Internal Medicine Nursing, Faculty of Nursing
Predicting Fall Risk With Machine Learning and Computer Vision: Development of A Clinical Decision Support System in Nursing Care
Akhtaruzzaman M, Shafie AA, Khan MR. Gait Analysis: Systems, Technologies and Significance. J Mech Med Biol. 2016;16(7).
Demir NY, Intepeler ŞS. Adaptation Of Morse Fall Scale To Turkish And Determination Of Sensitivity And Specificity. J Ege Univ Nurs Fac. 2012;28(1):57-71.
Zhao M, Chang CH, Xie W, Xie Z, Hu J. Cloud Shape Classification System Based on Multichannel CNN and Enhanced FDM. IEEE Access. 2020;8:44111-24.
Krizhevsky A, Sutskever I, Hinton GE. ImageNet classification with deep convolutional neural networks. Commun ACM. 2017;60(6):84-90.
Santos GL, Endo PT, Monteiro KHC, Rocha EDS, Silva I, Lynn T. Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks. Sensors (Basel). 2019 Apr 6;19(7):1644. doi: 10.3390/s19071644.
Yunas SU, Ozanyan KB. Gait Activity Classification Using Multi-Modality Sensor Fusion: A Deep Learning Approach. IEEE Sens J. 2021;21(15):16870-9.
Manssor SAF, Sun S, Elhassan MAM. Real-Time Human Recognition at Night via Integrated Face and Gait Recognition Technologies. Sensors (Basel). 2021 Jun 24;21(13):4323. doi: 10.3390/s21134323.

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247

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments
Alberti, Michele ; Pondenkandath, Vinaychandran ; Würsch, Marcel ; et al.

Computer Science - Compu...
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248

Expressive Mortality Models through Gaussian Process Kernels
Ludkovski, Mike ; Risk, Jimmy
ASTIN Bull. 54 (2024) 327-359

Statistics - Machine Lea... Computer Science - Machi...
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249

Using natural language processing and machine learning to replace human content coders.
Wang, Yilei ; Tian, Jingyuan ; Yazar, Yagizhan ; et al.
Psychol Methods

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251

Interpretable constitutive compressive stress-strain model for rubberized aggregate concrete – Integrating comprehensive empirical database and efficient XGBoost ensemble learning
Abdulaziz Alsaif ; Yassir M. Abbas
Case Studies in Construction Materials, Vol 21, Iss , Pp e03382- (2024)

Constitutive modeling Machine learning Recycled aggregate Rubberized concrete Sustainability Materials of engineering... …
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252

Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython
Bartz-Beielstein, Thomas

Computer Science - Machi... Computer Science - Artif... 90C26 I.2.6 G.1.6
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253

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254

SBML2HYB: a Python interface for SBML compatible hybrid modeling.
Pinto J ; Costa RS ; Alexandre L ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Models, Biological Software Language Programming Languages Systems Biology methods
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255

A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concrete
Seyed Soroush Pakzad ; Mansour Ghalehnovi ; Atiye Ganjifar
Case Studies in Construction Materials, Vol 20, Iss , Pp e03092- (2024)

Concrete Splitting tensile streng... Industrial steel fiber Machine learning Prediction Materials of engineering... …
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256

Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part II
Iskhakov, Arsen S. ; Dinh, Nam T.

Physics - Fluid Dynamics Physics - Computational...
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257

Accelerating Random Forests in Scikit-Learn
Louppe, Gilles
EuroScipy 2014, Cambridge, United Kingdom [GB], from 27-08-2014 to 30-08-2014

machine learning scikit-learn python random forests Engineering, computing &... Computer science …
Konferenz
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258

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
Carrington, André M. ; Manuel, Douglas G. ; Fieguth, Paul W. ; et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022

Statistics - Methodology Computer Science - Artif... Computer Science - Machi... Statistics - Machine Lea...
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259

Deep Learning Approaches for Affective Computing in Text
Ramón Zatarain Cabada ; María Lucía Barrón Estrada ; Víctor Manuel Bátiz Beltrán
Advances in Computational Intelligence and Robotics ISBN: 9798369305027

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260

Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites
Faramarz Bagherzadeh ; Torkan Shafighfard
Case Studies in Construction Materials, Vol 17, Iss , Pp e01537- (2022)

Machine Learning CNT-reinforced cement-ba... Mechanical attributes Predictive models Sensitivity analysis Materials of engineering... …
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