• Suche: Hyperparameter Tuning with Python

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181

Artificial Intelligence in Chromatin Analysis: A Random Forest Model Enhanced by Fractal and Wavelet Features.
Pantic, Igor ; Paunovic Pantic, Jovana
Fractal & Fractional. Aug2024, Vol. 8 Issue 8, p490. 11p.

APOPTOSIS ARTIFICIAL intelligence HIGHPASS electric filter... CHROMATIN DISCRETE wavelet transfo... RANDOM forest algorithms …
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183

Дослідження ефективності алгоритмів машинного навчання для задачі управління активами на ринку криптовалют з урахуванням оцінки довіри користувачів до криптовалюти
Канцедал, Георгій Олегович ; ELAKPI

перехресна перевірка... hyperparameter tuning time-series prediction ensemble deep learning машинне навчання... …
Dissertation
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184

Bayesian Additive Regression Networks (BARN): A Machine Learning Algorithm and Scientific Software Library
Tang, Xueying ; Maccabe, Arthur "Barney" ; Zhang, Hao Helen ; et al.

E-Ressource
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185

A comparative analysis of reinforcement learning algorithms for earth-observing satellite scheduling.
Herrmann, Adam ; Schaub, Hanspeter
Frontiers in Space Technologies; 2023, p1-19, 19p

MACHINE learning REINFORCEMENT learning DEEP reinforcement learn... SCHEDULING DATA warehousing COMPARATIVE studies
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186

Bayesian parametric models for survival prediction in medical applications.
Paolucci, Iwan ; Lin, Yuan-Mao ; Albuquerque Marques Silva, Jessica ; et al.
BMC Medical Research Methodology. 10/26/2023, Vol. 23 Issue 1, p1-14. 14p.

SURVIVAL analysis (Biome... PARAMETRIC modeling PROPORTIONAL hazards mod... PREDICTION models WEIBULL distribution
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187

Robust 3D face recognition in unconstrained environment using distance based ternary search siamese network.
Bhavani, Siriki Atchuta ; Karthikeyan, C.
Multimedia Tools & Applications; May2024, Vol. 83 Issue 17, p51925-51953, 29p

TEXAS HUMAN facial recognition... FACE perception CONVOLUTIONAL neural net... COMPUTER vision IMAGE denoising …
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188

Optimizing Shear Capacity Prediction of Steel Beams with Machine Learning Techniques.
Elamary, Ahmed S. ; Sharaky, Ibrahim A. ; Alharthi, Yasir M. ; et al.
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Apr2024, Vol. 49 Issue 4, p4685-4709. 25p.

PLATE girders MACHINE learning SHEARING force STEEL RESEARCH personnel FORECASTING
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189

Development of New Predictive Equations for the Resting Metabolic Rate (RMR) of Women with Lipedema.
Jeziorek, Małgorzata ; Wronowicz, Jakub ; Janek, Łucja ; et al.
Metabolites (2218-1989); Apr2024, Vol. 14 Issue 4, p235, 14p

POLAND LIPEDEMA K-nearest neighbor class... PRINCIPAL components ana... BODY composition BLAND-Altman plot
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190

Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus.
Kopitar, Leon ; Fister Jr., Iztok ; Stiglic, Gregor
Information. Mar2024, Vol. 15 Issue 3, p162. 17p.

Machine learning Type 2 diabetes Generative artificial in... Type 2 diabetes diagnosi... Association rule mining
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191

Customized Software Package for the Simultaneous Prediction of Multiple Fluidization Characteristic Parameters in Liquid–Solid Fluidized Beds
He, Jiawei ; Lei, Ruiqi ; Xie, Le
Industrial & Engineering Chemistry Research. 63(28):12656-12669

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192

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models.
Pokhrel, Nawa Raj ; Dahal, Keshab Raj ; Rimal, Ramchandra ; et al.
Software (2674-113X); Mar2024, Vol. 3 Issue 1, p47-61, 15p

DATA analysis DEEP learning MACHINE learning CONVOLUTIONAL neural net... ARTIFICIAL neural networ...
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193

Real-time transaction flow analysis with graph neural networks for financial fraud detection.
Wang, Xueran ; Wang, Yafen
Journal of Computational Methods in Sciences & Engineering. Oct2025, p1.

FRAUD GRAPH neural networks REAL-time computing FRAUD investigation FINANCIAL services indus... SPATIOTEMPORAL processes
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194

Online Payment Fraud Detection Using Decission Tree and LSTM Neural Network
Abhinav Ranjan ; Arvind Kumar Jangir ; Krishna Abrol ; et al.
International Journal Of Scientific Research In Engineering & Technology. :60-65

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195

Enhanced deep neural network with interaction features for corn seed yield prediction: uncovering agroecophysiological relationships
Mohsen Jahan ; Mohammad-Behzad Amiri ; Mehdi Nassiri-Mahallati
Discover Agriculture, Vol 3, Iss 1, Pp 1-15 (2025)

Agroecology Farm management Low-input system Machine learning Safe food Agriculture (General) …
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196

Microstructural and tribological investigation of B4C-reinforced Al6061 composites: insights from SEM and wear analysis
Pankaj Beldar ; Snehal Kadbhane ; Prashant Kavale ; et al.
Journal of Engineering and Applied Science, Vol 72, Iss 1, Pp 1-24 (2025)

Boron carbide reinforced... Stir casting Tribology Grey relational analysis Scanning electron micros... Engineering (General). C... …
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197

Дослідження ефективності алгоритмів машинного навчання для задачі управління активами на ринку криптовалют з урахуванням оцінки довіри користувачів до криптовалюти
Кротенко, Нікіта Сергійович ; Канцедал, Георгій Олегович

машинне навчання... глибоке навчання... нейронна мережа... ансамбль прогнозування часового р... попередня обробка даних... …
Dissertation
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198

Detection of honey adulteration using machine learning.
Ahmed E
Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE

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199

Evaluation of channel estimation for MIMO-FBMC/OQAM system based on deep learning approach (LSTM-ACO technique)
Padmavathi, T. ; Madhu, Ramarakula ; Cheepurupalli, Kusma Kumari
International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. :1-16

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200


Papanastou Kalliopi ; Papanastou Kalliopi

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