Predicting COVID-19 vaccination intention: the determinants of vaccine hesitancy [PDF]
, 2021 Data is available at https://doi.org/10.17605/OSF.IO/TR2P3. Analysis code was written in R and Python and is available at https://nunokf.github.io/Predicting-COVID-19-Vaccination-Intention-The-Determinants-of-Vaccine-Hesitancy-/.Do people want to be ...
Arantes, Joana +4 more
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Bacterial Memetic Algorithm for Asymmetric Capacitated Vehicle-Routing Problem [PDF]
, 2022 The vehicle-routing problem (VRP) has many variants, including the most accurate models of real-life transportation tasks, making it one of the most important mathematical problems in the field of logistics.
Botzheim, Janos, Hollo-Szabo, Akos
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Jordanian Journal of Computers and Information Technology, 2022 In the field of medicine, has resulted in the need to filter these data to find information that is relevant for specific research problems. However, in the realm of scientific study, the process of selecting the appropriate data or features represents a
MOHAMMED ALWESHAH
doaj +1 more source
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach [PDF]
, 2023 In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop health and promoting sustainable food production. This study presents a detailed methodology to enhance the accuracy of rice leaf disease classification.
Abasi, Ammar Kamal +4 more
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An optimization method for underwater images enhancement
Wasit Journal for Pure Sciences, 2023 Underwater images suffer from absorption and scattering of light, so underwater images are blurry, while contrast, clarity, and lighting are low. To improve the quality of underwater images, a method based on the new metaheuristic algorithm, the CHIO ...
Zaid Alyasseri, Rana Ghalib
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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
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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
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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
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Adaptive Metaheuristic Methods Based on the Covid-19 Virus’ Behavior and Measures for Fight It [PDF]
, 2023 The research proposes the numerical optimization methods are based on metaheuristic methods on the basis of COVID-19 virus' behavior and measures to fight it.
Fedorov, Eugene +5 more
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A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses [PDF]
, 2022 Recent studies confirmed that people unexposed to SARS-CoV-2 have preexisting reactivity, probably due to previous exposure to widely circulating common cold coronaviruses. Such preexistent reactivity against SARS-CoV-2 comes from memory T cells that can
A. Pasqui +5 more
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