Results 171 to 180 of about 39,082 (298)
Fuzzy energy management using a chaotic model to improve fuel consumption of fuel cell-battery hybrid fixed-wing UAVs operating under uncertainty control. [PDF]
Rostami M, Habibi P, Farajollahi A.
europepmc +1 more source
Duality in Dynamic Fuzzy Systems
This paper shows the resolvent equation, the maximum principle and the co-balayage theorem for a dynamic fuzzy system. We define a dual system for the dynamic fuzzy system, and gives a duality for Snell's optimal stopping problem by the dual system.
openaire
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source
A dynamical systems framework for precision psychiatry. [PDF]
Bosl WJ, Enlow MB, Nelson CA.
europepmc +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
New solutions of multidimensional fuzzy fractional coupled Burgers systems via He Laplace Carson algorithm. [PDF]
Qayyum M +6 more
europepmc +1 more source
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Toward universal models for collective interactions in biomolecular condensates. [PDF]
Milanetti E +4 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source

