Results 51 to 60 of about 358 (157)
Automatic Target Recognition (ATR) from SAR Imaginary by Using Machine Learning Techniques
Automatic Target Recognition (ATR) in Synthetic aperture radar (SAR) images becomes a very challenging problem owing to containing high level noise. In this study, a machine learning-based method is proposed to detect different moving and stationary targets using SAR images.
openaire +5 more sources
Controlled oxidation of benzyl ether is established as a key synthetic parameter in the thermal decomposition of iron(III) acetylacetonate. Oxygenated solvent species alter precursor coordination and nucleation–growth kinetics, producing highly crystalline, magnetite‐rich nanoparticles with tunable size, controlled morphology, and near‐bulk ...
Lukas Hertle +17 more
wiley +1 more source
Primary cultures of neuroblasts isolated from the nucleus basalis of Meynert of 12‐weeks‐old human foetuses were prepared. Whole‐cell patch‐clamp recordings were performed by injecting a depolarizing stimulus current (+500 pA; 500 ms), and the membrane voltage recorded; this stimulus current evoked periodic‐like oscillations in membrane voltage ...
Elisabetta Coppi +9 more
wiley +1 more source
ABSTRACT The recent clinical adoption of cell therapies has increased the need for more efficient, robust, and reproducible manufacturing technologies. Human mesenchymal stromal cells (hMSCs), a major component of the cell and immunotherapeutic market, remain challenging to manufacture at scale because they require surface attachment and are highly ...
William S. Skinner +7 more
wiley +1 more source
Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN
Synthetic Aperture Radar (SAR), as one of the important and significant methods for obtaining target characteristics in the field of remote sensing, has been applied to many fields including intelligence search, topographic surveying, mapping, and ...
Mengmeng Huang, Fang Liu, Xianfa Meng
doaj +1 more source
Drivers of Scope 3 Emissions Disclosure Quality—CDP Analysis
ABSTRACT Scope 3 emissions account for a significant portion of a supply chain's carbon footprint, yet very little research explores the key drivers of high‐quality Scope 3 disclosures. Additionally, while climate governance is a vital part of both improving carbon performance and ensuring corporate accountability, its broader impact on disclosure ...
Xintao Li, Binh Bui, Thanh Phan
wiley +1 more source
In the field of synthetic aperture radar (SAR) automatic target recognition (ATR), deep learning-driven methods perform well when numerous training samples are available.
Yan Peng +5 more
doaj +1 more source
Rotation Invariant Automatic Infrared Target Recognition using G-Radon
In recent research, automatic target recognition (ATR) of infrared targets has been taking a lot of interest to the researchers. A rotation invariant method is useful in target recognition, classification and image analysis to reduce the number of ...
Won Jin-Ju, Kim Sungho
doaj +1 more source
We elucidate the fundamental influences of polymer polarity on Li+ ionic environments in solid polymer electrolytes by considering four critical components: Li+, FSI−, residual solvents, and polymer matrix. Beyond facilitating LiFSI dissociation and Li+ transport, our findings underscore previously overlooked roles of polymer polarity, thereby ...
Ji‐Oh Kim +7 more
wiley +1 more source
The addition of Na2CO3 or K2CO3 to sewage sludge prior to combustion leads to the production of ashes containing phosphate in the form of buchwaldite‐like phases (Ca(Na/K)PO4). Compared to conventional sewage sludge mono‐ashes, such Na‐ or K‐ashes show greatly increased P‐solubilities and proved to be potent P‐fertiliser materials in greenhouse ...
Lorenz Bier‐Schorr +4 more
wiley +1 more source

