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Macrocyclic ligands at the air-water and oil-water interfaces B â The Langmuir films formed by these azacrown ethers have potential uses in chemical sensing and molecular electronics â They may serve as a suitable model for biological transport systems R = C16H33 Ã Stabilization of alkylatedazacrown ether at the air-water interface by fatty acid. Ã Zarbakhsh A, Campana M, Webster JR, Wojciechowski K Buffle et al. employed alkylatedazacrown ethers in combination with fatty acids to transport heavy metal ions (Cu(II), Cd(II), and Pb(II)) in so-called Permeation Liquid Membrane (PLM) devices. A typical PLM device is composed of a hydrophobic membrane separating two aqueous compartments where metal ions are transported. Thus, two extraction procedures are required - one at each aqueous-membrane contact. The membrane may be unsupported (in its bulk organic phase) or supported inside the pores of a thin inert polymer support. In either scenario, the membrane is composed of a solution of the carrier (for example, an azacrown ether/fatty acid combination) in a nonpolar solvent.
ABSTRACT
This article describes a technique for one-shot logo identification that utilizes a Siamese neural network (SNN) integrated with a pre-trained model that has been fine-tuned on a difficult logo dataset. While the model is fine-tuned using logo pictures, the training and testing datasets do not include any classes that overlap; hence, all classes used to test the one-shot recognition framework stay hidden throughout the fine-tuning process. The recognition method is normal for SNNs, in which each sister network encodes a pair of input pictures. Following that, the encoded outputs for each picture are evaluated against a learned metric and thresholded to identify matches and mismatches. The suggested technique achieves a 77.07 percent accuracy when used with the QMUL-OpenLogo dataset's one-shot limitations. The source code for oneshot siamese is available at https://github.com/cjvargasc/oneshot siamese/.
