Results 131 to 140 of about 5,452,386 (223)

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

SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS

Journal of Engineering and Sustainable Development, 2016
In this paper, an artificial Feed Forward Neural Network(FFNN) is used for smart antenna adaptive beamforming. Neural network is used to calculate the optimum weights that adapt the radiation pattern of the antenna by directing multiple narrow beams ...
Adheed Hassan Sallomi, Sulaiman A.G. Albanee   +1 more
doaj  

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

Neuron count impact on NNTS-based energy management in hybrid-powered renewable microgrids

Journal of Engineering and Applied Science
Efficient energy-storage management is critical for enhancing the reliability and sustainability of hybrid microgrid systems. This study examines the influence of neuron number in a Neural Network Time Series (NNTS) model on prediction quality and ...
Ismail Elabbassi, Omar Eloutassi, Youssef El hassouani   +2 more
doaj   +1 more source

Innovative thermal management in the presence of ferromagnetic hybrid nanoparticles

Scientific Reports
In the present work, a simple intelligence-based computation of artificial neural networks with the Levenberg-Marquardt backpropagation algorithm is developed to analyze the new ferromagnetic hybrid nanofluid flow model in the presence of a magnetic ...
Saraj Khan, Muhammad Imran Asjad, Muhammad Bilal Riaz, Taseer Muhammad, Muhammad Naeem Aslam   +4 more
doaj   +1 more source

Levenberg-Marquardt algorithm-based solar PV energy integrated internet of home energy management system

Applied Energy
Md. Rokonuzzaman, S. Rahman, M. A. Hannan, M. K. Mishu, W. Tan, K. S. Rahman, J. Pasupuleti, Nowshad Amin   +7 more
semanticscholar   +1 more source

Short-term forecasting of Indonesia electricity generation using MATLAB based on NARX neural network. [PDF]

PLoS One
Pranata N, Saputri FR.
europepmc   +1 more source

Prediction of crack repair percentage in self-healing concrete using machine learning. [PDF]

Sci Rep
Khosravi H, Kiani P, Bahram M, Lezgy-Nazargah M.   +3 more
europepmc   +1 more source