• Suche: Practical machine learning with Python

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201

$whittlehurst$: A Python package implementing Whittle's likelihood estimation of the Hurst exponent
Csanády, Bálint ; Nagy, Lóránt ; Lukács, András

G.4 FOS: Computer and inform... Statistics - Machine Lea... G.3 Machine Learning (stat.M... 60G22 …
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202

Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python
Lemenkova, Polina ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO) ; Free University of Bozen-Bolzano
Examples and Counterexamples. 7:100180-100180

Machine Learning Geoinformation Cartography Informatics Remote sensing Satellite image …
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203

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Mir, S.A.M. (author) ; Latoskinas, Evaldas (author) ; Proksch, S. (author) ; et al.

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204

Django-based framework database for leakage detection using machine learning for water distribution networks
Xie, Yiwei ; Gao, Mengze ; Luo, Fan ; et al.
In Engineering Applications of Artificial Intelligence 1 June 2025 149

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205

A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation
Deresse, Alemayehu Tamirie ; Dufera, Tamirat Temesgen
In Results in Applied Mathematics February 2025 25

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206

Dataset for optimized design parameters of three-phase induction motors with validation through machine learning.
Potnuru UK ; Teegala SK ; Kalabarige LR ; et al.
Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE

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207

Gadget Book: Practical Deep Learning.
Electronics Weekly. Dec2025, Issue 2881, p19-19. 1/4p.

ARTIFICIAL intelligence ARTIFICIAL neural networ... DEEP learning LANGUAGE models ACQUISITION of data PYTHON programming langu... …
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208

Open-source Python repository for data drift analysis.
Wrobel, Krzysztof ; Porwik, Piotr ; Orczyk, Tomasz
Procedia Computer Science. 2024, Vol. 246, p482-489. 8p.

Data libraries Concept learning Machine learning Public domain Data analysis Python programming langu...
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209

Threat Detection Using Anomaly Detection.
Malik, Sahil
CODE Magazine; Nov/Dec2025, Vol. 26 Issue 6, p20-25, 5p, 16 Color Photographs, 1 Graph

ANOMALY detection (Compu... ARTIFICIAL intelligence SECURITY management PYTHON programming langu... MACHINE learning INTRUSION detection syst... …
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210

Towards Practical and Usable In-network Classification
Zhu, Di ; Chen, Jianxi ; Kim, Hyojoon

Networking and Internet...
Report
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211

Shannon Entropy Estimator for the Characterization of Seismic-Volcanic Signals using Python
Gutiérrez, Ligdamis ; Devesa, Pablo Rey ; Ibáñez, Jesús ; et al.

Geophysics
Report
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212

An intrusion detection system for critical infrastructures: Modbus approach
Varol, Murat ; İskefiyeli, Murat
In Engineering Applications of Artificial Intelligence 20 December 2025 162 Part B

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213

Scikit-ANFIS: A Scikit-Learn Compatible Python Implementation for Adaptive Neuro-Fuzzy Inference System.
Zhang, Dongsong ; Chen, Tianhua
International Journal of Fuzzy Systems. Sep2024, Vol. 26 Issue 6, p2039-2057. 19p.

High performance computi... Fuzzy neural networks Software compatibility Fuzzy systems Machine learning Deep learning …
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214

[Re] Strategic classification made practical: reproduction
Kolkman, Guilly ; Athmer, Jan ; Labro, Alex ; et al.

python machine learning rescience c pytorch deep learning
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215

A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Navarro, Alejandro L. García ; Koneva, Nataliia ; Sánchez-Macián, Alfonso ; et al.

FOS: Computer and inform... Computer Science - Machi... Computer Science - Progr... Machine Learning (cs.LG) Programming Languages (c...
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216

Language Models for Code Completion: A Practical Evaluation
Izadi, Maliheh ; Katzy, Jonathan ; van Dam, Tim ; et al.

Computer Science - Softw... Computer Science - Machi... Computer Science - Progr...
Report
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217

On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions
Diessner, Mike ; Wilson, Kevin J. ; Whalley, Richard D.
Diessner, M., Wilson, K. J., and Whalley, R. D. (2024). On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions. Data-Centric Engineering, 5, e45

Machine Learning
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218

Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems.
Dilmi, Wissem ; El Ferik, Sami ; Ouerdane, Fethi ; et al.
Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2572, 20p

OBJECT recognition (Comp... HUMAN error SUPPLY chains DEEP learning PYTHONS AUTOMATION
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219

Advanced interdisciplinary applications of machine learning python libraries for data science
Biju, Soly Mathew ; Mishra, Ashutosh ; Kumar, Manoj ; et al.
Scopus Harvesting Series

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220

Machine learning prediction of dye adsorption by hydrochar: Parameter optimization and experimental validation
Liu, Chong ; Balasubramanian, Paramasivan ; Li, Fayong ; et al.
In Journal of Hazardous Materials 5 December 2024 480

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