Results 131 to 140 of about 71,855 (286)

Heterogeneity of iridoid biosynthesis in catmints: Molecular background in a phylogenetic context

Journal of Integrative Plant Biology, EarlyView.
Evolutionary gains and losses of key biosynthetic genes likely resulting from multiple independent evolutionary events explain why certain Nepeta (catnip) species produce both the active, cat‐attracting nepetalactones and sugar‐bound iridoids, while others make only the sugar‐bound forms, and some have lost iridoid production entirely.
Tijana Banjanac, Milica Milutinović, Dragana Matekalo, Neda Popović, Luka Petrović, Uroš Gašić, Marijana Skorić, Branislav Šiler, Tamara Lukić, Ana Stupar, Slavica Dmitrović, Jasmina Nestorović Živković, Biljana Filipović, Jelena Božunović, Miloš Todorović, Danijela Mišić   +15 more
wiley   +1 more source

Multi-strategy Integrated Grey Wolf Optimization Algorithm

Abstract The grey wolf optimizer (GWO) has gained significant recognition in metaheuristic research owing to its straightforward implementation and minimal parameter configuration requirements. Nevertheless, conventional GWO implementations exhibit limitations in addressing complex optimization challenges, particularly premature convergence ...
Xiaozeng Xu, Xinyuan Gao, Bo Zeng, Liming Zou   +3 more
openaire   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

Hybrid Grey Wolf Optimization Nonlinear Model Predictive Control for Aircraft Engines Based on an Elastic BP Neural Network

Applied Sciences, 2019
In order to deal with control constraints and the performance optimization requirements in aircraft engines, a new nonlinear model predictive control method based on an elastic BP neural network with a hybrid grey wolf optimizer is proposed in this paper.
Lingfei Xiao, Min Xu, Yuhan Chen, Yusheng Chen   +3 more
doaj   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

A geophysical investigation of the Roter Kamm impact crater, Namibia

Meteoritics &Planetary Science, EarlyView.
Abstract The Roter Kamm impact crater is located in the southern Namib Desert. The crater has a diameter of 2.5 km and belongs to the category of simple, bowl‐shaped impact craters, with an elevated rim of fractured target rock. The crater's interior is completely buried beneath sediments, preventing extensive surface investigations of the bedrock ...
Hannah Nienhaus, Pritam Yogeshwar, Wiebke Mörbe, Bülent Tezkan, Yajun Liu, Bufelo Lushetile, Martin Melles   +6 more
wiley   +1 more source

The Role of Labour Market Institutions in Shaping Euro Area Monetary Policy Transmission

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We examine how labour market institutions shape monetary policy transmission in euro area countries. A theoretical model suggests that higher union density flattens the Phillips curve, amplifying output responses while dampening the inflation effects of monetary shocks. This is empirically confirmed using an interacted panel VAR.
Maximilian Boeck, Christian Glocker
wiley   +1 more source

Optimized Flood Control Scheduling of Goupitan Reservoir Based on Dynamic Programming and Grey Wolf Algorithm

Renmin Zhujiang
Based on the analysis of the importance of different time periods for flood control, this paper proposed a solution approach that segments flood control into key and non-key periods.
FENG Huan, SU Huaying, LIU Chenliang, LIU Haili, LUO Zhimin   +4 more
doaj  

Fault Diagnosis of Power Transformer Based on Extreme Learning Machine Optimized by Improved Grey Wolf Optimization

Journal of Applied Science and Engineering
For power transformers, the gas content in oil is used as the fault input feature quantity, and the accuracy of diagnosis results is not satisfactory. The problem of low accuracy of optimized extreme learning machine (ELM) of grey wolf optimization (GWO)
Yong Xu, Xiaojuan Lu, Yuhang Zhu, Jiawei Wei, Dan Liu, Jianchong Bai   +5 more
doaj   +1 more source

A Novel Hybrid Grey Wolf Differential Evolution Algorithm

Grey wolf optimizer (GWO) is a nature-inspired stochastic meta-heuristic of the swarm intelligence field that mimics the hunting behavior of grey wolves. Differential evolution (DE) is a popular stochastic algorithm of the evolutionary computation field that is well suited for global optimization. In this part, we introduce a new algorithm based on the
Bougas, Ioannis D., Doanis, Pavlos, Papadopoulou, Maria S., Boursianis, Achilles D., Sotiroudis, Sotirios P., Zaharis, Zaharias D., Koudouridis, George, Sarigiannidis, Panagiotis, Matint, Mohammad Abdul, Karagiannidis, George, Goudos, Sotirios K.   +10 more
openaire   +2 more sources