+2 MM articles scientifics and academics

30.924 Articles

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Evaluation of ensemble NWP models for dynamical downscaling of air temperature over complex topography in a hot climate: A case study from the Sultanate of Oman

Yassine Charabi,Sultan Al-Yahyai

This paper evaluates the use of ensemble numerical weather prediction (NWP) models for dynamical downscaling of temperature over a complex, hot region. This approach delivers information about the uncertainty of the NWP models and provides probabilistic i... see more

Dynamical downscaling | ensemble NWP models | temperature | complex hot area.

Atmósfera , 2015

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Optimizing Android Malware Detection Via Ensemble Learning

Abikoye Oluwakemi Christianah,Benjamin Aruwa Gyunka,Akande Noah Oluwatobi

Android operating system has become very popular, with the highest market share, amongst all other mobile operating systems due to its open source nature and users friendliness. This has brought about an uncontrolled rise in malicious applications targeti... see more

Android Malware Detection | Machine Learning Models | Base Learners | Ensemble Learner | Reverse Engineering

International Journal of Interactive Mobile Technologies (iJIM) , 2020

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Technical Note on the Dynamic Changes in Kalman Gain when Updating Hydrodynamic Urban Drainage Models

Morten Borup, Henrik Madsen, Morten Grum and Peter Steen Mikkelsen

To prevent online models diverging from reality they need to be updated to current conditions using observations and data assimilation techniques. A way of doing this for distributed hydrodynamic urban drainage models is to use the Ensemble Kalman Filter ... see more

Geosciences , 2018

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An Ensemble Mean and Evaluation of Third Generation Global Climate Reanalysis Models

Jeffrey D. Auger, Sean D. Birkel, Kirk A. Maasch, Paul A. Mayewski and Keah C. Schuenemann

We have produced a global ensemble mean of the four third-generation climate reanalysis models for the years 1981–2010. The reanalysis system models used in this study are National Centers for Environmental Prediction (NCEP) Climate Forecast System ... see more

reanalysis models | temperature | precipitation | geopotential height

Atmosphere , 2018

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Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model

Mergani A. Khairalla, Xu Ning, Nashat T. AL-Jallad and Musaab O. El-Faroug

In the real-life, time-series data comprise a complicated pattern, hence it may be challenging to increase prediction accuracy rates by using machine learning and conventional statistical methods as single learners. This research outlines and investigates... see more

time series forecasting | ensemble learning | heterogeneous models | SMLE | oil consumption

Energies , 2018

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Applying a Multi-Model Ensemble Method for Long-Term Runoff Prediction under Climate Change Scenarios for the Yellow River Basin, China

Linus Zhang and Xiaoliu Yang

Given the substantial impacts that are expected due to climate change, it is crucial that accurate rainfall–runoff results are provided for various decision-making purposes. However, these modeling results often generate uncertainty or bias due to the imp... see more

Water , 2018

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Assessing Uncertainties of Water Footprints Using an Ensemble of Crop Growth Models on Winter Wheat

Kurt Christian Kersebaum, Joop Kroes, Anne Gobin, Jozef Takác, Petr Hlavinka, Miroslav Trnka, Domenico Ventrella, Luisa Giglio, Roberto Ferrise, Marco Moriondo, Anna Dalla Marta, Qunying Luo, Josef Eitzinger, Wilfried Mirschel, Hans-Joachim Weigel, Remy Manderscheid, Munir Hoffmann, Pavol Nejedlik, Muhammad Anjum Iqbal, Johannes Hösch

Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF under... see more

water footprint | uncertainty | model ensemble | wheat | crop yield

Water , 2016

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Pneumonia Detection on X-Ray Imaging using Softmax Output in Multilevel Meta Ensemble Algorithm of Deep Convolutional Neural Network Transfer Learning Models

(1) Simeon Yuda Prasetyo (Bina Nusantara University, Indonesia) (2) Ghinaa Zain Nabiilah (Bina Nusantara University, Indonesia) (3) Zahra Nabila Izdihar (Bina Nusantara University, Indonesia) (4) Sani Muhamad Isa (Bina Nusantara University, Indonesia)

Pneumonia is the leading cause of death from a single infection worldwide in children. A proven clinical method for diagnosing pneumonia is through a chest X-ray. However, the resulting X-ray images often need clarification, resulting in subjective judgme... see more

Pneumonia classification | Transfer learning | Deep convolutional neural network | Softmax | Multilevel meta ensemble

International Journal of Advances in Intelligent Informatics , 2023

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CNN Ensemble learning method for Transfer learning: A Review Yudha Islami Sulistya(1); Elsi Titasari Br Bangun(2); Dyah Aruming Tyas(3) (1) Universitas Gadjah Mada (2) Universitas Gadjah Mada (3) Universitas Gadjah Mada () Corresponding Author

This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance. The results indicate that the ... see more

Ensemble Learning | Transfer Learning | Deep Learning | Pre-Trained Model | CNN

ILKOM Jurnal Ilmiah , 2023

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