Results 111 to 120 of about 8,583,864 (289)
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Woźniak +2 more
wiley +1 more source
Sizing Power Components of an Electrically Driven Tail Cone Thruster and a Range Extender
R. Jansen, C. Bowman, A. Jankovsky
semanticscholar +1 more source
Lifetime of the Gas Evolution Electrode of the Zn–H2 Storage System
ABSTRACT A novel electrically chargeable galvanic system is presented that efficiently stores energy in the form of zinc and releases hydrogen and electricity upon discharge. In this concept, oxygen is released at the gas electrode during charging, and zinc oxide is reduced to metallic zinc at the counter electrode.
Robert Hahn +3 more
wiley +1 more source
Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping
F. Kruse, J. Boardman, J. Huntington
semanticscholar +1 more source
A tunable microwave absorption metamaterial inspired by moths evading bat detection
Electromagnetic radiation in the current environment has become complex and uncontrollable due to the advancement of wireless technology. Inspired by the moth surface cilia to bend and evade bat sonar detection, our work introduces a metamaterial incorporating broadband and tunable microwave absorption properties combined with deep learning algorithms.
Yijie Liu +13 more
wiley +1 more source
Quantitative Mapping of Fibrotic Tissue Mechanics via Brillouin Spectroscopy
Brillouin spectroscopy distinguishes fibrotic from healthy tissue based on localized stiffness changes and enables real‐time monitoring of dynamic alterations in viscoelastic properties during fibrogenesis. ABSTRACT Fibrosis is a pathological scarring process that disrupts tissue architecture, and is characterized by excessive extracellular matrix (ECM)
Vsevolod Cheburkanov +3 more
wiley +1 more source
Modular and Automated Workflow for Streamlined Raman Signal Analysis
This study presents an automated workflow for preprocessing and analyzing Raman spectroscopy data, addressing key challenges such as noise suppression, baseline correction, and peak fitting using Voigt profiles. The method is validated on both synthetic and experimental spectra, demonstrating improved spectral fidelity and peak detection for biomedical
Mykyta Kizilov +3 more
wiley +1 more source
Sediment trap preservative choice impacts particle‐associated microbial community composition
Abstract Understanding and quantifying the microbial contribution to particulate organic matter (POM) flux and carbon cycling in the ocean relies largely on the collection of sinking POM. A critical aspect of evaluating microbial communities on sediment trap‐collected POM is their preservation until recovery and sample processing.
Nicola L. Paul +7 more
wiley +1 more source
Apparatus for the Dynamic Calibration of Low-Range Differential Pressure Transducers
Mark A. Feero, P. Lavoie, P. Sullivan
semanticscholar +1 more source

