Results 11 to 20 of about 1,015 (64)
Energy Technology, Volume 11, Issue 12, December 2023., 2023 Herein, developers of algorithms for battery state estimation, for example, the state of charge, are assisted in finding the best metaparameters for the Kalman filter. The fully automated framework for multiobjective optimization named hyperspace exploration derives optimal values for the covariance matrices. This shortens the time‐consuming process of
Patrick Mößle +2 more
wiley +1 more source
IET Communications, Volume 17, Issue 19, Page 2219-2236, 1 December 2023., 2023 This research paper introduces a new security scheme known as the Soft Computing‐based Secure Protocol for VANET Environment (SC‐SPVE) method, which aims to tackle security challenges. The SC‐SPVE technique integrates an adaptive neuro‐fuzzy inference system and particle swarm optimization to identify different attacks in VANETs efficiently.
V Thiruppathy Kesavan +3 more
wiley +1 more source
Decision making for multi‐objective problems: Mean and median metrics
Systems Engineering, Volume 26, Issue 6, Page 814-829, November 2023., 2023 Abstract When dealing with problems with more than two objectives, sophisticated multi‐objective optimization algorithms might be needed. Pareto optimization, which is based on the concept of dominated and non‐dominated solutions, is the most widely utilized method when comparing solutions within a multi‐objective setting.
Mahmoud Efatmaneshnik +2 more
wiley +1 more source
Journal of Systematics and Evolution, Volume 61, Issue 5, Page 733-747, September 2023., 2023 By integrating the global phylogenetic and macroecological data on the diversification of Smilacaceae, the evolutionary histories and diversification patterns were reconstructed. The origin of the family Smilacaceae is estimated during the Late Cretaceous/Early Palaeocene, and began to diversify in the middle to low latitudes in Central America and ...
Zhe‐Chen Qi +10 more
wiley +1 more source
Artificial Intelligence and Advanced Materials
Advanced Materials, Volume 35, Issue 23, June 8, 2023., 2023 Artificial intelligence in general and machine learning in particular are gaining ever more importance in science and technology. In materials science, they are taking over tedious screening tasks and helping design and discover materials based on both explicit and tacit previous knowledge possessed by the scientist.
Cefe López
wiley +1 more source
Optimum frequency response with decentralized drivers in power system
IET Generation, Transmission &Distribution, Volume 17, Issue 9, Page 1985-1998, May 2023., 2023 This document presents a novel methodology to optimize the power system frequency response based on the implementation of decentralized controllers. Abstract This document presents a novel methodology to optimize the power system frequency response based on the implementation of decentralized controllers.
Diego Maldonado +4 more
wiley +1 more source
The polyploid continuum and the landscape of polyploid genomic variation
American Journal of Botany, Volume 112, Issue 11, November 2025.Abstract Polyploid research has traditionally distinguished between autopolyploids and allopolyploids on the basis of evolutionary origins, modes of inheritance, or chromosomal pairing behavior during meiosis. It has long been recognized, however, that a binary classification does not accurately reflect the complexity and diversity inherent to ...
Alex D. Twyford +6 more
wiley +1 more source
Augury and Forerunner: Real‐Time Feedback Via Predictive Numerical Optimization and Input Prediction
Computer Graphics Forum, Volume 44, Issue 6, September 2025.Transient information generated by solver steps can inform future objective function minimization. In Augury, we explore the impact of predictive numerical optimization by using solver history to predict future minimization solutions, reducing computational resources needed to arrive at convergent states for a broad class of gradient‐based optimization
J. Graus, Y. Gingold
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Expert Systems, Volume 42, Issue 9, September 2025.ABSTRACT Construction planning is a critical and complex phase in the deployment of large‐scale renewable energy infrastructure. This study applies artificial intelligence techniques to a domain‐specific problem that has traditionally relied on expert judgement: the generation of detailed construction schedules for photovoltaic power plants.
Manuel Ángel López Ferreiro +3 more
wiley +1 more source
Sequences suffice for pointfree uniform completions
Journal of the London Mathematical Society, Volume 112, Issue 2, August 2025.Abstract Completions of metric spaces are usually constructed using Cauchy sequences. However, this does not work for general uniform spaces, where Cauchy filters or nets must be used instead. The situation in pointfree topology is more straightforward: the correct completion of uniform locales can indeed be obtained as a quotient of a locale of Cauchy
Graham Manuell
wiley +1 more source