Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues::A Comprehensive Review [PDF]
, 2023 The increased interest in renewable-based microgrids imposes several challenges, such as source integration, power quality, and operating cost. Dealing with these problems requires solving nonlinear optimization problems that include multiple linear or ...
Olabi, A. G. +3 more
core +1 more source
Dual‐stage day‐ahead optimized performance of renewable‐based microgrids
IET Renewable Power Generation, 2023 In distributed networks, wind turbine generators (WTGs) are to be optimally sized and positioned for cost‐effective and efficient network service. Various meta‐heuristic algorithms have been proposed to allocate WTGs within microgrids.
Ahmed M. Helmi +3 more
doaj +1 more source
Flower pollination algorithm parameters tuning [PDF]
, 2021 The flower pollination algorithm (FPA) is a highly efficient metaheuristic optimization algorithm that is inspired by the pollination process of flowering species.
Mergos, P. +3 more
core +1 more source
IMPACT OF THE COVID-19 DISEASE ON THE APPLICATION OF VEHICLE ROUTING PROBLEMS IN PRACTICE [PDF]
, 2022 Pandemija bolesti COVID-19 stvorila je pritisak na globalne lance opskrbe, među ostalim, velikim porastom potražnje medicinskih potrepština uz istovremena ograničenja kretanja, povećane troškove transporta i smanjenje dostupnosti radne snage.
Olivari, Luka, Đuranović, Srećko
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Covid-19 confirmed cases prediction in china based on barnacles mating optimizer-least squares support vector machines [PDF]
, 2021 The Covid19 has significantly changed the global landscape in every aspect including economy, social life, and many others. After almost two years of living with the pandemic, new challenges are faced by the research community.
Mohd Herwan, Sulaiman, Zuriani, Mustaffa
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Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil [PDF]
, 2021 COVID-19 is affecting healthcare resources worldwide, with lower and middle-income countries being particularly disadvantaged to mitigate the challenges imposed by the disease, including the availability of a sufficient number of infirmary/ICU hospital ...
Alan Amad, Matheus Torquato
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A Reliable Kidney Stone Detection Method Using Inductive Transfer-Based Ensemble Deep Neural Networks [PDF]
Chronic kidney disease is a significant global health concern, with kidney stones being a major contributing factor to kidneydysfunction. Early and accurate detection is essential to prevent severe complications.
B.S.N. Murthy, Muthabathula Manoj Rajiv
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Optimization Algorithm Based on Novelty Search Applied to the Treatment of Uncertainty in Models [PDF]
, 2021 [ES] La búsqueda novedosa es un nuevo paradigma de los algoritmos de optimización, evolucionarios y bioinspirados, que está basado en la idea de forzar la búsqueda del óptimo global en aquellas partes inexploradas del dominio de la función que no son ...
Martínez Rodríguez, David
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Recent Trends in Metabolomics by NMR Spectroscopy
Angewandte Chemie International Edition, EarlyView.AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +1 more source
Molecular Plant Pathology, Volume 27, Issue 5, May 2026.This study reveals a tripartite pesticide–pathogen–host interaction in which the host kinase CDPK7‐like in Nicotiana benthamiana interacts with cucumber mosaic virus coat protein (CMV CP) to form LLPS‐driven condensates that facilitate viral infection.
Lei Zhao +7 more
wiley +1 more source