Material Identification During Turning by Neural Network by Berend DENKENA, Benjamin BERGMANN, Miriam HANDRUP, Matthias WITT

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Novel Debris Material Identification Method Based on Impedance Microsensor by Haotian Shi, Yucai Xie, Hongpeng Zhang

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Research on Flexible Material Identification and Positioning Based on Machine Vision by Xiaowei Zhou, Qingmei Pan, Dingyuan Jiang, Jiazang Zhang

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Positive Material Identification testing of dental implant to correlate their compositions with allergic conditions by Avadhesh Kumar Chaubey, Sunil Kumar Mishra, Ramesh Chowdhary

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Application of YOLO and U-Net models for building material identification on segmented images by Ruslan Voronkov, Mykhailo Bezugliy

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La Création du Monde, Œuvre monumentale de Jean-Pierre Pincemin   by Coline Braye

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Urban fabric decoded: High-precision building material identification via deep learning and remote sensing by Kun Sun, Qiaoxuan Li, Qiance Liu, Jinchao Song, Menglin Dai, Xingjian Qian, Srinivasa Raghavendra Bhuvan Gummidi, Bailang Yu, Felix Creutzig, Gang Liu

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Interpretable machine learning models classify minerals via spectroscopy by R. Smith, Tyler L. Spano, Marshall McDonnell, Lance Drane, Ian Gibbs, Andrew Miskowiec, J. L. Niedziela, Ashley E. Shields

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Studying the Possibility of Application ir Spectroscopy for Raw Material Identification <I>Valeriana wolgensis</I> Kazak. and <I>Valeriana dudia</I> L. by O. A. Kolosova, O. V. Trineeva

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Research on the Detection Method for Feeding Metallic Foreign Objects in Coal Mine Crushers Based on Reflective Pulsed Eddy Current Testing by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

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Terahertz Light-Field Imaging With Silicon Technologies by U. R. Pfeiffer, A. Kutaish

“…Although THz radiation would be perfect for material identification and as a safe alternative to X-rays for producing high-resolution images of the interior of opaque objects, first a fundamentally new approach is needed to establish novel devices and techniques.…”
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Overview on natural dyes and their IR-spectra - Part III: Natural dyes based on wooden materials by Boris Mahltig

“…Finally, it is aimed to report spectroscopic data for identification of natural dye materials to support material identification and quality control. …”
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Wi-freshness: research on CSI-based pork freshness detecting system by Chao NIU, Weidong YANG, Pengming HU, Xiangshang GAO, Erbo SHEN

“…Effective and rapid detection of pork freshness is important for pork quality.However, traditional sensory evaluation methods are too subjective, physical and chemical analysis methods are time-consuming and destructive.Recently, radio frequency is widely used in the field of location, material identification and human body monitoring, while, the meat freshness detection is ignored.A real-time, non-destructive and low-cost system for pork freshness detecting based on channel state information (CSI) was proposed.It is a new application of internet of things in the field of fresh agricultural products based on ubiquitous network (commercial Wi-Fi).The proposed Wi-freshness consists of four modules: CSI data sensing, data pre-processing, detection modelling and freshness detection.Considering the need for Wi-freshness data characteristic value processing is not much, and high demand for real-time prediction characteristics, a detection model based broad learning system (BLS) was proposed.Experiment shows that Wi-freshness system can achieve more than 93% detection accuracy.…”
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Overview on natural dyes and their IR-spectra – Part I: Plant based dyes with naphthoquinone and anthraquinone structure by Boris Mahltig

“…The aim of this review paper is to support infrared spectroscopic data of natural materials (natural dyes) to enable further material identification and also quality control supporting people working in the fields of fiber analytics or with production processes using natural dyes …”
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Overview on natural dyes and their IR-spectra – Part I: Plant based dyes with naphthoquinone and anthraquinone structure by Boris Mahltig

“…The aim of this review paper is to support infrared spectroscopic data of natural materials (natural dyes) to enable further material identification and also quality control supporting people working in the fields of fiber analytics or with production processes using natural dyes …”
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Virtual Bullet Examination: Forensic Insights from CT Imaging in Gunshot Victims by Dominic Gascho

“…These advancements enable the virtual classification, shape analysis, and material identification of bullets in forensic investigations, even when the bullet remains in the body. …”
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Food contact articles as source of micro- and nanoplastics: a systematic evidence map by Lisa Zimmermann, Birgit Geueke, Lindsey V. Parkinson, Christoph Schür, Martin Wagner, Jane Muncke

“…We extracted data on experimental design, FCAs, MNPs, and food or food simulants and critically appraised the general data quality, material identification methods, polymer type reporting, and study design. …”
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Functioning of Intertextemes of Biblical Origin in Modern Orthodox Prose (by Material of O. L. Rozhneva’s Stories-Parables) by P. A. Kolobaev

“…With the help of illustrative material identification as a type of O. L. Rozhneva’s relation to the biblical text is characterized. …”
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Waste Material Classification Based on a Wavelength-Sensitive Ge-on-Si Photodetector by Anju Manakkakudy Kumaran, Andrea De Iacovo, Andrea Ballabio, Jacopo Frigerio, Giovanni Isella, Lorenzo Colace

“…The system operates with a broadband illuminator, and material identification is obtained through the processing of the photocurrent signal at different bias voltages with classification algorithms. …”
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Simplified white shark with centroid DBN for urban waste management in smart cities by Abhijeet R. Raipurkar, Manoj B. Chandak, Sunita G. Rawat

“…Accurate waste material identification and classification are necessary because the waste items vary as they deteriorate. …”
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