首页|Korea Photonics Technology Institute (KOPTI) Researcher Updates Knowledge of Mac hine Learning (Discrimination of Explosive Residues by Standoff Sensing Using An odic Aluminum Oxide Microcantilever Laser Absorption Spectroscopy with Kernel-Ba sed ...)
Korea Photonics Technology Institute (KOPTI) Researcher Updates Knowledge of Mac hine Learning (Discrimination of Explosive Residues by Standoff Sensing Using An odic Aluminum Oxide Microcantilever Laser Absorption Spectroscopy with Kernel-Ba sed ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from Gwangju, Sout h Korea, by NewsRx correspondents, research stated, "Standoff laser absorption s pectroscopy (LAS) has attracted considerable interest across many applications f or environmental safety." Funders for this research include Korea Planning & Evaluation Inst itute of Industrial Technology Funded By The Ministry of The Interior And Safety ; National Research Foundation of Korea (Nrf) Grant Funded By The Korea Governme nt; Chonnam National University (Smart Plant Reliability Center) Grant Funded By The Ministry of Education. Our news correspondents obtained a quote from the research from Korea Photonics Technology Institute (KOPTI): "Herein, we propose an anodic aluminum oxide (AAO) microcantilever LAS combined with machine learning (ML) for sensitive and selec tive standoff discrimination of explosive residues. A nanoporous AAO microcantil ever with a thickness of <1 mm was fabricated using a micro machining process; its spring constant (18.95 mN/m) was approximately one-third of that of a typical Si microcantilever (53.41 mN/m) with the same dimensions. the standoff infrared (IR) spectra of pentaerythritol tetranitrate, cyclotrimethy lene trinitramine, and trinitrotoluene were measured using our AAO microcantilev er LAS over a wide range of wavelengths, and they closely matched the spectra ob tained using standard Fourier transform infrared spectroscopy. The standoff IR s pectra were fed into ML models, such as kernel extreme learning machines (KELMs) , support vector machines (SVMs), random forest (RF), and backpropagation neural networks (BPNNs)."
Korea Photonics Technology Institute (KO PTI)GwangjuSouth KoreaAsiaAluminumAluminum CompoundsAluminum OxideAnionsCyborgsEmerging TechnologiesLight MetalsMachine LearningOxidesSupport Vector Machines
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