Results 131 to 140 of about 63,026 (172)

Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules

Polymer Composites, Volume 47, Issue 8, Page 7094-7108, 20 April 2026.
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk, Eser Yarar, Orkan Baran Korkusuz, Aleyna Kara, Tamer Sınmazçelik   +4 more
wiley   +1 more source

Exploring the Implications of the Russo‐Ukrainian War on Natural Gas Usage and Consequent Impacts on Air Quality in Northern Italy

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract This study examines how the Russo‐Ukrainian war affected natural gas consumption and air quality in northern Italy. The conflict disrupted European natural gas supplies, leading to a reduction in residential natural gas use. We investigated how this reduction affected air quality, focusing on residential wood combustion (RWC) as an alternative
Manuel Bettineschi, Giancarlo Ciarelli, Tuukka Petäjä, Markku Kulmala, Arineh Cholakian, Alessandro Bigi, Federico Bianchi   +6 more
wiley   +1 more source

Improved Dust Microphysical Retrieval From LiDAR by Introducing a Priori Constraints From In Situ and Laboratory Measurements

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract The accuracy of height‐resolved dust microphysical retrieval from LiDARs has been greatly improved by the recently developed BOREAL (Basic algOrithm for REtrieval of Aerosol with LiDAR) algorithm which describes non‐spherical dust particles with the Irregular‐Hexahedral (IH) model and inverts 3β (backscattering at 355, 532, and 1,064 nm) + 2α (
Yuyang Chang, Qiaoyun Hu, Philippe Goloub, Thierry Podvin   +3 more
wiley   +1 more source

Intelligent computing with Levenberg-Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. [PDF]

Eur Phys J Plus, 2020
Cheema TN, Raja MAZ, Ahmad I, Naz S, Ilyas H, Shoaib M.   +5 more
europepmc   +1 more source

Tailored Dual Responsive Hybrid Gelatin Methacryloyl/Poly[2‐(Dimethylamino)Ethyl Methacrylate] Hydrogels for Efficient Ibuprofen Release in Topical Applications

Journal of Applied Polymer Science, Volume 143, Issue 15, April 15, 2026.
GelMA/DMAEMA hybrid hydrogels for release of ibuprofen. ABSTRACT In this study, biocompatible hydrogels intended for topical delivery of ibuprofen were synthesized from gelatin methacryloyl (GelMA) and 2‐(dimethylamino)ethyl methacrylate (DMAEMA) by varying their proportions. The impact of different GelMA and DMAEMA ratios was comprehensively evaluated
Guilherme Frey Schutz, Ana Luiza Assis Coutinho, Carolina Coli Zuliani, Ibsen Bellini Coimbra, Jéssica Heline Lopes da Fonseca, Marcos Akira d'Ávila, Ângela Maria Moraes, Roniérik Pioli Vieira   +7 more
wiley   +1 more source

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network. [PDF]

PLoS One
Kuang Q, Kuang X.
europepmc   +1 more source

Adaptive regulation of a non inverting buck boost converter with Levenberg Marquardt based sliding mode predictive control scheme. [PDF]

Sci Rep
Asvadi-Kermani O, Sorouri H, Oshnoei A.
europepmc   +1 more source

Retraction notice to "Cattaneo-Christov heat flow model at mixed impulse stagnation point past a Riga plate: Levenberg-Marquardt backpropagation method" [Heliyon 9 (2023) e22765]. [PDF]

Heliyon
Hussain S, Islam S, Nisar KS, Zahoor Raja MA, Shoaib M, Abbas M, Saleel CA.   +6 more
europepmc   +1 more source

The Yield Prediction of Synthetic Fuel Production from Pyrolysis of Plastic Waste by Levenberg-Marquardt Approach in Feedforward Neural Networks Model. [PDF]

Polymers (Basel), 2019
Abnisa F, Anuar Sharuddin SD, Bin Zanil MF, Wan Daud WMA, Indra Mahlia TM.   +4 more
europepmc   +1 more source

Prediction of monthly evapotranspiration by artificial neural network model development with Levenberg-Marquardt method in Elazig, Turkey. [PDF]

Environ Sci Pollut Res Int
Kartal V.
europepmc   +1 more source