Results 31 to 40 of about 112,373 (246)

A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction

Applied Sciences, 2021
As vital comments on landslide early warning systems, accurate and reliable displacement prediction is essential and of significant importance for landslide mitigation.
Xiaoxu Niu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen, Huiming Tang   +5 more
doaj   +1 more source

Teachers’ Views: Using Body Music in Teaching and Learning Primary School Subjects

Center for Educational Policy Studies Journal
The paper presents research conducted among Turkish primary school classroom teachers regarding their personal and professional views about creating and using KeKeÇa body music games as educational tools.
Muzaffer Özgü Bulut, Ayşe Akarsu, Ersoy Karabay   +2 more
doaj   +1 more source

PEMBELAJARAN ANSAMBEL GESEK EKSTRAKURIKULER DI SMK METHODIST CHARLES WESLEY MEDAN

Grenek: Jurnal Seni Musik, 2018
This study is about the String Ensemble Learning in Extracurricular at SMK Methodist Charles Wesley Medan. The purpose of learning is to know the learning process of string ensemble extracurricular, knowing in teaching methods and materials string ...
Kevin Justinus Elwadi Simanjuntak
doaj   +1 more source

Robust Ensemble Learning

, 2000
This chapter contains sections titled: Introduction, Boosting and the Linear Programming Solution, υ-Algorithms, Experiments, Conclusion, Acknowledgments.
Raetsch, Gunnar, Schoelkopf, Bernhard, Smola, Alexander, Mika, Sebastian, Onoda, Takashi, Muller, Klaus-Robert   +5 more
openaire   +3 more sources

Predicting seismic-induced liquefaction through ensemble learning frameworks

Scientific Reports, 2019
The regional nature of liquefaction records and limited information available for a certain set of explanatories motivate the development of complex prediction techniques.
Mohammad H. Alobaidi, Mohamed A. Meguid, Fateh Chebana   +2 more
doaj   +1 more source

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

BMC Bioinformatics, 2021
Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal ...
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho   +8 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Ensemble Techniques Based Risk Classification for Maternal Health During Pregnancy

Ilkom Jurnal Ilmiah
This research focuses on the critical aspect of maternal health during pregnancy, emphasizing the need for early detection and intervention to address potential risks to both mothers and infants. Leveraging various classification methods, including Naïve
Nurul Fathanah Mustamin, Ariyani Buang, Firman Aziz, Nur Hamdani Nur   +3 more
doaj   +1 more source

The Effect of Bioclimatic Covariates on Ensemble Machine Learning Prediction of Total Soil Carbon in the Pannonian Biogeoregion

Agronomy, 2023
This study employed an ensemble machine learning approach to evaluate the effect of bioclimatic covariates on the prediction accuracy of soil total carbon (TC) in the Pannonian biogeoregion. The analysis involved two main segments: (1) evaluation of base
Dorijan Radočaj, Mladen Jurišić, Vjekoslav Tadić   +2 more
doaj   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

FEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas, Brigitta Maruzs, Zsófia E. Kálmán, Tomas Klumpler, Gyula Batta, Bálint Péterfia, Zoltán Gáspári   +6 more
wiley   +1 more source