Results 51 to 60 of about 7,039,777 (140)

Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]

, 2013
The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B., Alex A. Freitas, Freitas, Alex A., Fernando E.B. Otero   +3 more
core   +1 more source

In Vivo Glx Measurements From GABA‐Edited HERMES at 3 T Are Not Consistent With Those From Short‐TE PRESS Across Scanners, Brain Regions, Diagnostic and Age Groups

NMR in Biomedicine, Volume 39, Issue 1, January 2026.
We evaluate the agreement between Glx (Glutamine plus Glutamine) estimates obtained from HERMES GABA‐DIFF (blue) and SUM spectra with Glx derived from short‐TE PRESS (TE = 35ms; green). Data was acquired from 139 participants, across two voxels (ACC and thalamus), three different scanners and multiple age and diagnostic groups (adults/preschoolers and ...
Alice R. Thomson, Viola Hollestein, Amy Goodwin, Anne Fritz, Beth Oakley, Declan Murphy, Edward Bullock, Ellen Demurie, Eva Loth, Giorgia Bussu, Herbert Roeyers, Isabel Yorke, Jan K. Buitelaar, Julia Koziel, Laura Colomar, Manon A. Krol, Matthew Bowdler, Nele Herregods, Pascal Aggensteiner, Pim Pullens, Rosemary Holt, Terje Falck‐Ytter, Tony Charman, Tomoki Arichi, Nicolaas A. Puts   +24 more
wiley   +1 more source

Gradient Scheme Optimization for PRESS‐Localized Edited MRS Using Weighted Pathway Suppression

NMR in Biomedicine, Volume 39, Issue 1, January 2026.
This study presents an optimized DOTCOPS‐based gradient scheme for PRESS‐localized edited MRS that integrates a volume‐based likelihood model to prioritize suppression of unwanted coherence transfer pathways. Using a dual‐penalty genetic algorithm, the scheme achieved a 197% increase in k‐space crushing efficiency and significantly reduced out‐of‐voxel
Gizeaddis L. Simegn, Zahra Shams, Saipavitra Murali‐Manohar, Dunja Simicic, Abdelrahman Gad, Yulu Song, Vivek Yedavalli, Christopher W. Davies‐Jenkins, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Richard A. E. Edden   +11 more
wiley   +1 more source

AraAssim/Coordinate-descent-optimization-algorithm-: Coordinate descent optimization algorithm

, 2021
The C++ code is provided to minimize functions using coordinate descent optimization ...
AraAssim
core   +1 more source

A Hybrid Informer–TCN-Quantile Framework with IOOA-Based Hyperparameter Optimization for Wind Power Interval Forecasting

Energies
Wind power interval forecasting remains challenging due to the uncertainty and strong variability of wind generation. To capture temporal dependency and predictive uncertainty, this paper proposes a hybrid interval forecasting framework that integrates ...
Yalong Zhao, Lei Zhang, Wen Zhou, Yunpei Zhai, Guanyu Liu   +4 more
doaj   +1 more source

A Radiative‐path‐aware Satellite‐Based Irradiance Retrieval Framework Supporting Ultra‐short‐term PV Power Forecasting

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper proposes a radiative‐path‐aware satellite irradiance retrieval–driven method for ultra‐short‐term PV forecasting. The retrieved wide‐area irradiance dynamically constructs the graph for a GAT‐LSTM forecaster, improving prediction accuracy.
Na Li, Shuhan Liu, Lin Zhu, Fei Wang, Zhao Zhen, Shumin Sun, Yan Cheng   +6 more
wiley   +1 more source

ESORecon‐Net: A Novel Framework for Enhanced Brain MRI Image Reconstruction Using Echo State Networks and Osprey Optimization

IET Software, Volume 2026, Issue 1, 2026.
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability. This study addresses MRI image processing issues such as noise, artifacts, and high‐quality reconstruction. These traits are essential for brain tumor detection and analysis.
N. Sashi Prabha, N. Rama Rao, Nadeem Sarwar   +2 more
wiley   +1 more source

Inducing decision trees with an ant colony optimization algorithm [PDF]

, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B., Johnson, Colin G., Freitas, Alex A.   +2 more
core   +1 more source

A Bilevel Optimisation Model for Distributed Energy Storage Considering Wind‐Solar Uncertainty and Carbon Trading

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
To support the ‘Dual Carbon’ strategy, this paper proposes a bilevel optimisation model for distributed energy storage configuration considering wind‐solar uncertainty and carbon trading. Using SNGAN and K‐means for scenario generation, the model minimises total cost at the upper level and grid vulnerability/power losses at the lower level.
Xiaonan Li, Rongxin Sun, Wenxu Zhang, Zhanhong Wei, Xiping Ma   +4 more
wiley   +1 more source

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems [PDF]

, 2009
Copyright @ Springer-Verlag 2008Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, once converged, cannot adapt quickly to environmental changes. This paper investigates the application of memetic algorithms,
Wang, H, Yang, S, Wang, Dingwei, Yang, Shengxiang, Wang, Hongfeng, Wang, D   +5 more
core   +1 more source