Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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Protocol for low-cost quantification of microplastics through electrochemical impedance spectroscopy from aqueous matrices by Almeenu Rasheed, Sovik Das

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MATH OBJECT IDENTIFICATION ON MATERIAL CULTURE ON THE ISLAND OF AMBON by Tanwey Gerson Ratumanan, Thereisa Laurens, Wilmintjie Mataheru

“…In this regard, the identification of cultural aspects of both material and non-material culture needs to be continuously carried out and integrated into learning. …”
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IDENTIFICATION OF RISKS ASSOCIATED WITH RAW MATERIALS OF ANIMAL ORIGIN by Elena V. Zajko, Dagmara S. Bataeva

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ELISA method in identification of the blood in the stains on the material evidences by V. L. Sidorov, O. D. Yagmurov

Subjects: “…material evidences…”
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Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials by Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani

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Analytical staining of cellulosic materials: A Review by Martin A. Hubbe, Richard P. Chandra, Dilek Dogu, S. T. J. van Velzen

“…Such effects long have provided analysts with convenient ways to identify cellulosic fiber types, products of different pulping methods, degrees of mechanical refining, estimates of accessibility to enzymes, and localization of chemical components within microscopic sections of cellulosic material. Analytical staining procedures allow for the facile estimation or quantification using simple methods such as light microscopy or UV-vis spectroscopy. …”
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Quantification of capillary pores and large pores with narrow throats in concrete materials by the hysteresis characteristics of water vapor by Lianjuan Miao, Ming Wen, Songsong He, Chujie Jiao, Xinchun Guan

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Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study by Torsten Diekhoff, Sydney Alexandra Schmolke, Karim Khayata, Jürgen Mews, Maximilian Kotlyarov

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An Algorithm for Ultrasonic Identification of Ceramic Materials and Virtual Prototype Realization by Yu LIU, Xiping HE, Shengping HE

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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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Edge-guided slicing and inference (EGSI) with feature aggregation network for quantification of large defective temporary construction materials by Njoroge James Mugo, Akbar Ali, Song Jinwoo, Soonwook Kwon

“…While manual quantification of defective materials is time-consuming, especially for batches exceeding 200 materials, computer vision techniques offer a more efficient alternative. …”
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Accelerated fatigue strength prediction via additive manufactured functionally graded materials and high-throughput plasticity quantification by C. Bean, M. Calvat, Y. Nie, R.L. Black, N. Velisavljevic, D. Anjaria, M.A. Charpagne, J.C. Stinville

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Methodological approaches to gene identification of tea raw materials and raw material composition of tea-based soft drinks by R. R. Vafin, I. Yu. Mikhailova, I. I. Ageykina

“…The purpose of this study was to find methodological approaches to the varietal gene identification of tea raw materials and to the species gene identification of the raw material composition of tea-based soft drinks. …”
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Experiment and numerical modeling suspended ceiling with identification of working diagram material by J. Flodr, O. Sucharda, D. Mikolasek

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Chemistry of explosives: Explosive materials, mechanics, testing method and identification techniques by Eamd Yousif

Subjects: “…explosive materials…”
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Identification of Cotton Defoliation Sensitive Materials Based on UAV Multispectral Imaging by Yuantao Guo, Hu Zhang, Wenju Gao, Quanjia Chen, Qiyu Chang, Jinsheng Wang, Qingtao Zeng, Haijiang Xu, Qin Chen

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Identification of learning difficulties and misconceptions of chemical bonding material: A review by Hayuni Retno Widarti, Dian Nuriyanti, Meyga Evi Ferama Sari, Antuni Wiyarsi, Sri Yamtinah, Deni Ainur Rokhim

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Materials-Driven Advancements in Chipless Radio-Frequency Identification and Antenna Technologies by Hafsa Anam, Syed Muzahir Abbas, Iain B. Collings, Subhas Mukhopadhyay

“…This article presents a comprehensive analysis of the technical characteristics of advanced versatile materials used in chipless radio-frequency identification (RFID) tags and antennas. …”
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