Results 181 to 190 of about 1,235,922 (317)
Introducing researchers involved in vector control to modelling for operational decision-making in Benin: report of the workshop, January 17-18, 2024. [PDF]
Konkon AK +25 more
europepmc +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Aplicación de las redes neuronales en los sistemas de control vectorial de los motores de inducción [PDF]
G.M.A. Sowilam
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Estimated cost and operational structure of pgSIT malaria vector control programs in selected West African countries. [PDF]
Gendron WAC +8 more
europepmc +1 more source
Wheel Slip Improvement with Induction Motor Vector Control for Electric Locomotives
Mitsuhiro Numazaki +2 more
openalex +2 more sources
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato +6 more
wiley +1 more source
Microbial gatekeepers: midgut bacteria in <i>Aedes</i> mosquitoes as modulators of arboviral transmission and targets for sustainable vector control. [PDF]
Worku AT +12 more
europepmc +1 more source
Cubic Bézier curves are used in the synthesis of novel surface‐based metamaterials with tunable mechanical properties. Surface‐based geometries are 3D printed and tested in compression. The resulting mechanical properties are correlated to changes in the shape of the base curve, with high potential in energy absorption through the adjustment of their ...
Alberto Álvarez‐Trejo +2 more
wiley +1 more source

