Results 41 to 50 of about 7,039,777 (140)

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, Volume 14, Issue 5, Page 2458-2475, May 2026.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]

, 2008
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang, Yun Li 李 耘, Hu, X., Xiao-min Hu, Li, Y., Zhang, J.   +5 more
core   +1 more source

Identifying Out‐of‐Voxel Echoes in Edited MRS With Phase Cycle Inversion

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 1921-1933, April 2026.
ABSTRACT Purpose To identify the origin of out‐of‐voxel (OOV) signals based on the coherence transfer pathway (CTP) formalism using signal phase conferred by the acquisition phase cycling scheme. Knowing the CTP driving OOV artifacts enables optimization of crusher gradients to improve their suppression.
Zahra Shams, Abdelrahman Gad, Aaron T. Gudmundson, Saipavitra Murali‐Manohar, Christopher W. Davies‐Jenkins, Gizeaddis L. Simegn, Dunja Simicic, Yulu Song, Vivek Yedavalli, Helge J. Zöllner, Georg Oeltzschner, Dillip K. Senapati, Alfons Schnitzler, Peter B. Barker, Richard A. E. Edden   +14 more
wiley   +1 more source

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem [PDF]

, 2010
Copyright @ Springer-Verlag 2010.Ant colony optimization (ACO) has been successfully applied for combinatorial optimization problems, e.g., the travelling salesman problem (TSP), under stationary environments.
Yang, S, Shengxiang Yang, Mavrovouniotis, M, Michalis Mavrovouniotis, Yang, Shengxiang, Mavrovouniotis, Michalis   +5 more
core   +1 more source

An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets

Biomimetics
The Internet’s development has prompted social media to become an essential channel for disseminating disaster-related information. Increasing the accuracy of emotional polarity recognition in tweets is conducive to the government or rescue organizations
Guangyu Mu, Jiaxue Li, Xiurong Li, Chuanzhi Chen, Xiaoqing Ju, Jiaxiu Dai   +5 more
doaj   +1 more source

A Digital Phantom for MR Spectroscopy Data Simulation

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1345-1359, March 2026.
ABSTRACT Purpose Simulated data is increasingly valued by researchers for validating MRS processing and analysis algorithms. However, there is no consensus on the optimal approaches for simulation models and parameters. This study introduces a novel MRS digital brain phantom framework, providing a comprehensive and modular foundation for MRS data ...
D. M. J. van de Sande, A. T. Gudmundson, S. Murali‐Manohar, C. W. Davies‐Jenkins, D. Simicic, G. Simegn, İ. Özdemir, S. Amirrajab, J. P. Merkofer, H. J. Zöllner, G. Oeltzschner, R. A. E. Edden   +11 more
wiley   +1 more source

Influence of Basis Set Composition on Metabolite Quantification of 1H‐MRS at 3 T: Combining In Silico, In Vivo and In Vitro Evidence

NMR in Biomedicine, Volume 39, Issue 3, March 2026.
We use synthetic (Aim 1), human brain (Aim 2) and phantom (Aim 3) data to assess how basis set choice affects Glu, tCr, tNAA and tCho quantification, focusing on the bias–variance trade‐off under varying SNR conditions. Including GABA, GSH, NAAG and glucose improved Glu estimates, reducing bias and variance below 10%.
Polina Emeliyanova, Laura M. Parkes, Caroline Lea‐Carnall, Stephen R. Williams   +3 more
wiley   +1 more source

JayaX: Jaya algorithm with xor operator for binary optimization

, 2019
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat, Gündüz, Mesut, Kıran, Mustafa Servet   +2 more
core   +1 more source

Strenuous Exercise Alters Brain Creatine and Glutamate/Glutamine (Glx) in Humans: Evidence From Dynamic 1H‐MRS and 1H‐MRSI

The FASEB Journal, Volume 40, Issue 2, 31 January 2026.
Strenuous exercise induces transient, region‐specific neurochemical changes in the human brain. Dynamic proton magnetic resonance spectroscopy (1H‐MRS) and spectroscopic imaging (1H‐MRSI) revealed reductions in total creatine (tCr), and elevations in glutamate/glutamine (Glx), and lactate (Lac) in frontal and parietal brain regions.
Jedd Pratt, Antonia Kaiser, Libby Henthorn, Oliver Mundell, Elise From, Aneurin J. Kennerley, Craig Sale   +6 more
wiley   +1 more source

A data‐driven algorithm to determine 1H‐MRS basis set composition

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 20-37, January 2026.
Abstract Purpose Metabolite amplitude estimates derived from linear combination modeling of MR spectra depend on the precise list of constituent metabolite basis functions used (the “basis set”). The absence of clear consensus on the “ideal” composition or objective criteria to determine the suitability of a particular basis set contributes to the poor
Christopher W. Davies‐Jenkins, Helge J. Zöllner, Dunja Simicic, Seyma Alcicek, Richard A. E. Edden, Georg Oeltzschner   +5 more
wiley   +1 more source