11 papers · ranked by Valyu relevance
Freya Acar, Ruth Seurinck, Simon B. Eickhoff, Beatrijs Moerkerke + 1 more
'Satoru Hayasaka'] The importance of integrating research findings is incontrovertible and procedures for coordinate-based meta-analysis (CBMA) such as Activation Likelihood Estimation (ALE) have become a popular approach to combine results of fMRI studies when only peaks of activation are reported. As meta-analytical…
Kuniyo Sueyoshi, McAndrew Merlini, Kosuke Otsubo, Fumitsugu Kojima + 1 more
Background Early chest tube removal should be considered to enhance recovery after surgery. The current study aimed to provide a predictive algorithm for air leak episodes (ALE) and to create a knowledge base for early chest tube removal. Methods This retrospective study enrolled patients who underwent thoracoscopic…
Ran Wang, Weiquan Huang, Junyu Wu, Chen Chen + 3 more
To address the rapid population diversity loss and premature convergence of the Artificial Lemming Algorithm (ALA) in complex optimization problems, this paper proposes an Improved Artificial Lemming Algorithm (IALA) with multi-strategy enhancements inspired by lemming behavior. First, a non-uniform mutation operator…
Tommaso Costa, Donato Liloia, Franco Cauda, Peter T. Fox + 3 more
'Francesca Dalla Mutta' 'Sergio Duca' 'Jordi Manuello'] Activation likelihood estimation (ALE) is among the most used algorithms to perform neuroimaging meta-analysis. Since its first implementation, several thresholding procedures had been proposed, all referred to the frequentist framework, returning a rejection…
Lennart Frahm, Theodore D. Satterthwaite, Peter T. Fox, Robert Langner + 1 more
Activation likelihood estimation (ALE) meta-analysis has been applied to structural neuroimaging data since long, but up to now, any systematic assessment of the algorithm’s behavior, power and sensitivity has been based on simulations using functional neuroimaging databases as their foundation. Here, we aimed to…
Xuemei Zhu, Chaochuan Jia, Jiangdong Zhao, Chunyang Xia + 4 more
'Ji Huang' 'Ling Li' 'Stanislav N. Gorb'] This paper presents an enhanced artificial lemming algorithm (EALA) for solving complex unmanned aircraft system (UAV) path planning problems in three-dimensional environments. Key improvements include chaotic initialization, adaptive perturbation, and hybrid mutation, enabling…
Yuyong Tan, Jianfeng Wang, Bin Wang, Yongquan Zhou
The intelligent optimization algorithm has become a key tool in complex and intertwined engineering and science fields. However, with the increasing complexity of the problem and the rapid expansion of the data scale, the performance of the algorithm has been challenged unprecedentedly. The artificial lemming algorithm…
Yu Liu, Maosheng Fu, Chaochuan Jia, Zhengyu Liu + 5 more
Unmanned aerial vehicle path planning faces multiple challenges in terms of effectiveness and safety. Traditional optimization methods are difficult to use to effectively find the best route. An enhanced artificial lemming optimization algorithm (ALAEN) is proposed here, which introduces stochastic differential…
Kengo Shibata, Bahaaeddin Attaallah, Xin-You Tai, William Trender + 5 more
Title: Summary Background Autoimmune limbic encephalitis (ALE) is a neurological disease characterised by inflammation of the limbic regions of the brain, mediated by pathogenic autoantibodies. Because cognitive deficits persist following acute treatment of ALE, the accurate assessment of long-term cognitive outcomes…
Christine Edwards, Calum C. McNerney, Linda A. Lawton, Joseph Palmer + 6 more
'Kenneth Macgregor' 'Frances Jack' 'Peter Cockburn' 'Amy Plummer' 'Alison Lovegrove' 'Abigail Wood'] Title: Highlights 1. • Detailed characterisation of pot ale and spent wash from 22 Scotch Whisky distilleries. 2. • Identification of pot ale/spent wash as a renewable source of critical raw materials (including…
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi + 1 more
The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates the capability of 14 recently-introduced robust EAs in optimization of energy…