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Stephen Kershaw

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Articles

AI-assisted identification of stromatoporoids

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By David Gonzalez, David González Verified, Consuelo Sendino, Stephen Kershaw
| Wiley Online Library Verified
1 INTRODUCTION AND AIMS The application of machine learning (ML) techniques to fossil identification is still in its early stages, with significant progress emerging only in the 21st century, primarily in the classification of microfossils (see Yu et al., 2024, for a recent review). These advances have demonstrated the potential of ML to handle complex visual data and extract diagnostic features with high accuracy.
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High-Capacity Optical Fingerprinting Using Dual-Peak Photoluminescence of Quantum Dots

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By Syeda Ali, Stephen Kershaw, Yueyu Guo, Yinglong Zhu
| ACS Publications
Figure 1 illustrates the conceptual framework and comparative encoding behavior of two classes of QD systems: cadmium selenide/zinc sulfide (CdSe/ZnS) and copper indium sulfide/zinc sulfide CuInS 2 /ZnS (CIS). The process begins with the preparation of QDs, Figure 1 a, where the QDs are deposited through a spin coating technique. Figure S1 presents the Atomic Force Microscopy (AFM) characterization used to determine the film thickness of the deposited film.
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High-Capacity Optical Fingerprinting Using Dual-Peak Photoluminescence of Quantum Dots

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By Syeda Ali, Stephen Kershaw, Yinglong Zhu, Yueyu Guo
| dx.doi.org
Introduction Click to copy section linkSection link copied! With the continuous development of technology and the growth of global trade, the problem of counterfeit and inferior products has become increasingly serious. In 2016, the international trade in counterfeit and pirated goods was estimated to reach $509 billion, accounting for approximately 3.3% of global trade.
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