Nanoemulsion design of Cynara cardunculus leaves extract rich in sesquiterpene lactones
This work introduces a novel formulation strategy that advances the potential of Cynara cardunculus leaf extract enriched in sesquiterpene lactones as a bioherbicide and contributes to the broader development of sustainable weed management tools based on natural products.
Daniela Rosa +6 more
wiley +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Leveraging Life Cycle Assessment for Informing Packaging Eco‐Design and Eco‐Modulation
ABSTRACT Eco‐modulation is designed to promote the adoption of eco‐design. However, in practice, its application is mostly concentrated on end‐of‐life (EoL) optimization. This study addresses the gap by proposing a framework to assess product–packaging systems as integrated units throughout the full life cycle.
Dwi Putri Yudianti Yudison +2 more
wiley +1 more source
Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler +5 more
wiley +1 more source
Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou +3 more
wiley +1 more source
A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems. [PDF]
El-Nagar D, Zeidan I, Issa M.
europepmc +1 more source
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza +3 more
wiley +1 more source
Finding the Pareto front for high-entropy-alloy catalysts. [PDF]
Zhang C +7 more
europepmc +1 more source
Pareto-based design of thermophotovoltaic micro-combustors via a novel framework combining IGWO-tuned ANN, multi-objective multi-verse optimization, and ARAS-based decision making. [PDF]
Alawad MA +7 more
europepmc +1 more source

