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Research article

First published 2018-4

Ensembles of climate change models for risk assessment of nuclear power plants

Matteo Vagnoli, Francesco Di Maio, Enrico Zio

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

Open access

Research article

First published 2012-8

Reweighted Belief Propagation and Quiet Planting for Random K -SAT

Florent Krzakala, Marc Mézard, Lenka Zdeborová

Journal on Satisfiability,Boolean Modelling and Computation

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Research article

First published 2021-9

Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane

Sandeep Kumar Singla, Rahul Dev Garg, Om Prakash Dubey

Intelligent Data Analysis: An International Journal

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Research article

First published 2025

Predicting thermal efficiency of natural gas boilers using a deep learning ensemble model

Hongjie Liu, Li Zhang, Kai Chen

Proceedings of the Institution of Mechanical Engineers,Part A: Journal of Power and Energy

Open access

Research article

First published 2013-12

Small Changes in Vegetation Structure Create Great Changes in Amphibian Ensembles in the Colombian Pacific Rainforest

Angela M. Cortés-Gómez, Fernando Castro-Herrera, J. Nicolás Urbina-Cardona

Tropical Conservation Science

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Research article

First published 2024-11

Processing and optimized learning for improved classification of categorical plant disease datasets

Ayushi Gupta, Anuradha Chug, Amit Prakash Singh

Intelligent Data Analysis: An International Journal

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Research article

First published 2014-1

Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings

A. Sanz-Garcia, F. Antoñanzas-Torres, J. Fernández-Ceniceros [...]

Ironmaking & Steelmaking: Processes,Products and Applications

Open access

Research article

First published 2021

Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest

Jie Pan, Li-Ping Li, Chang-Qing Yu [...]

Evolutionary Bioinformatics

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Research article

First published 2023-11

A hybrid approach using multiple linear regression and random forest regression to predict molten steel temperature in a continuous casting tundish

Sabrina Silva de Matos, Carlos Antônio da Silva, Johne Jesus Mol Peixoto [...]

Ironmaking & Steelmaking: Processes,Products and Applications

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Research article

First published 2020-9-21

The detection of Alternaria solani infection on tomatoes using ensemble learning

Bogdan Ruszczak, Krzysztof Smykała, Karol Dziubański

Journal of Ambient Intelligence and Smart Environments

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