Results 141 to 150 of about 926 (278)

Identification of emitter sources in the aspect of their fractal features

open access: yes, 2013
This article presents the procedure of identification radar emitter sources with the trace distinctive features of original signal with the use of fractal features.
Kawalec, A., Dudczyk, J.
core  

Dimensional Engineering of Wet‐Spun MOF‐Based Woven Fabrics for Superior Electromagnetic Wave Absorption

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work fabricated MOF‐based woven absorbing fabrics with dimensional engineering via a wet spinning strategy. The absorbing fabrics achieve a reflection loss of −51.47 dB at 2.9 mm, with an effective absorption bandwidth reaching 3.54 GHz. The absorbing fabrics can be freely bent, stretched, and folded, with individual fibers exhibiting a break ...
Zihao Yan   +6 more
wiley   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

open access: yesElectron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi   +4 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei   +2 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

open access: yesEnergy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari   +2 more
wiley   +1 more source

Bioinspired Regenerative Lignification Enables Ultra‐Hard and Sustainable Bamboo Structural Materials

open access: yesExploration, EarlyView.
Developing strong and sustainable materials is essential for reducing reliance on metals and lowering carbon emissions. Inspired by how plants naturally harden their cell walls, we created a rapid process that transforms bamboo into an ultra‐hard structural material by rebuilding lignin‐like networks within its structure.
Jian Gan   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy