• Suche: Distributed Machine Learning with Python

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161

A Comprehensive Analysis of Various KNN Algorithms for Fault Classification in a Smart Grid
Bisht, Kamlesh S. ; Ahamad, Nafees ; Awasthi, Saurabh
Journal of The Institution of Engineers (India): Series B: Electrical, Electronics & Telecommunication and Computer Engineering. :1-12

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162

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
Lemaitre, Guillaume ; Nogueira, Fernando ; Aridas, Christos K.

Computer Science - Learn...
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163

Modeling the interaction of virtual agents in distributed artificial intelligence systems
Oleksandr Pankratov ; Volodymyr Levytskyi
Sustainable Engineering and Innovation. 7:327-344

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164

Machine learning-based multidimensional evaluation of the effectiveness of course civics teaching: a case study of the occupational health and occupational medicine course.
Zheng, Zhanyue ; Kang, Cheng ; Wang, Chengqiang ; et al.
Frontiers in Education; 2025, p1-12, 12p

MACHINE learning OCCUPATIONAL medicine STATISTICS ACADEMIC achievement EDUCATIONAL evaluation EDUCATIONAL objectives …
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165

ifCNV: A novel isolation-forest-based package to detect copy-number variations from various targeted NGS datasets
Cabello-Aguilar, Simon ; Vendrell, Julie A. ; Van Goethem, Charles ; et al.
In Molecular Therapy - Nucleic Acids 13 December 2022 30:174-183

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166

SINr: a python package to train interpretable word and graph embeddings
Prouteau, Thibault ; Dugué, Nicolas ; Guillot, Simon ; et al.
French Regional Conference on Complex Systems. :215-215

Le Havre, France Graph embedding Word embedding Interpretability Frugal machine learning Plongements de graphes …
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167

Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP
Scavuzzo, Carlos Matias ; Scavuzzo, Juan Manuel ; Campero, Micaela Natalia ; et al.
In Infectious Disease Modelling March 2022 7(1):262-276

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168

Scikit-Learn: Machine Learning in the Python ecosystem
Louppe, Gilles ; Varoquaux, Gaël
NIPS 2013 Workshop on Machine Learning Open Source Software, 10 décembre 2013

machine learning open source software Engineering, computing &... Computer science Ingénierie, informatique... Sciences informatiques
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169

BLOCKCHAIN-BASED IoFLT FEDERATED LEARNING IN A FUZZY/GAN ENVIRONMENT FOR A SMART TRADING BOT
RICARDO CARREÑO AGUILERA ; Miguel Patiño Ortíz ; VERÓNICA AGUILAR ESTEVA ; et al.
Fractals. 31

FOS: Computer and inform... Artificial intelligence Generative grammar Social Sciences Management Science and O... Adversarial system …
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170

mlpy: Machine Learning Python
Albanese, Davide ; Visintainer, Roberto ; Merler, Stefano ; et al.

Computer Science - Mathe... Computer Science - Learn... Statistics - Machine Lea...
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171

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.
Krogulski, Piotr ; Rak, Tomasz
Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

HIGH performance computi... MACHINE learning CONTAINER design & const... PARALLEL programming ADAPTIVE computing syste... ANOMALY detection (Compu... …
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172

Model-Oriented Training of Coordinators of the Decentralized Control System of Technological Facilities With Resource Interaction
Volodymyr M. Dubovoi ; Maria S. Yukhimchuk ; Viacheslav V. Kovtun ; et al.
IEEE Access, Vol 13, Pp 13414-13426 (2025)

collaborative federated... simulation model Machine learning Electrical engineering.... decentralized coordinati... distributed control syst... …
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173

Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
Morell, José Ángel ; Alba, Enrique
In Future Generation Computer Systems August 2022 133:53-67

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174

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
Fernández, A.M. ; Gutiérrez-Avilés, D. ; Troncoso, A. ; et al.
In Big Data Research March 2020 19-20

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175

PySpark: Big Data Processing Made Easy.
Bhardwaj, Aditya
Open Source For You; Apr2024, Vol. 12 Issue 6, p55-57, 3p

BIG data DATA structures PYTHON programming langu... DISTRIBUTED computing COMPUTER engineering MACHINE learning …
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176

Accelerating Distributed Learning in Non-Dedicated Environments
Chen Chen ; Qizhen Weng ; Wei Wang ; et al.
IEEE Transactions on Cloud Computing. 11:515-531

Load management Load modeling 4. Education Distributed Machine Lear... Computational modeling 02 engineering and techn... …
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177

ORDERLITE: REAL-TIME CONSISTENCY IN DISTRIBUTED CACHING AND DATABASES WITH LIGHTWEIGHT ML PREDICTION
Nirwan Dogra

Distributed Systems Real-Time Consistency Machine Learning Caching Databases Replication Delay Predic... …
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178

The missing link between massive data and AI: parallel computing with Heat
Comito, Claudia ; Hagemeier, Björn ; Tarnawa, Michael ; et al.

memory-distributed compu... parallel computing data-intensive science Big Data Analytics Python Message Passing Interfac... …
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179

Monitor the Health of Your System with New Relic.
Reddy, Kakunuri Himarishitha ; Thangaraju, B.
Open Source For You; Jun2025, Vol. 13 Issue 8, p91-98, 8p

MACHINE learning SEARCH engine optimizati... VIRTUAL machine systems REFUSE collection RELIABILITY in engineeri... DEBUGGING …
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180

Machine learning based load prediction in smart‐grid under different contract scenario
Piyush Kumar Yadav ; Rajnish Bhasker ; Albert Alexander Stonier ; et al.

Artificial intelligence Electricity Price and Lo... Construct (python librar... Geometry Smart grid Smart Grids …
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