Results 31 to 40 of about 12,818 (227)

A novel optical granulometry algorithm for ore particles [PDF]

, 2010
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. This optical granulometry algorithm is particularly suitable for blast furnace process control, so its result can be used directly
Junhao Y., Q. Jie, Z. Xiubin, Jie Q., Y. Junhao, Xiubin Z.   +5 more
core   +2 more sources

Postharvest freezing process assessment of the blueberry structure in three acts: Bioimpedance, color, and granulometry analysis

, 2021
This research was funded by FONDECYT-CONCYTEC (grant contract number 271-2015-FONDECYT ), the São Paulo Research Foundation (FAPESP, Brazil) for funding the project N° 2018/05871-3 and CNPq proc . Num.
Carolina de Sousa Silva A., Souto S., Arteaga H., Batista J., Robleto-Martinez E., Xavier Costa E.J.   +5 more
core   +1 more source

Granulometric, Chemical, and Mineralogical Evaluation of Greek Lignite Bottom Ash for Potential Utilization in Concrete Manufacturing

Materials Proceedings, 2023
Coal bottom ash is used globally in various applications in the construction industry to reduce its negative environmental impacts. In this study, the potential utilization of lignite bottom ash from four power plants in Greece in concrete manufacturing ...
Argyro Asvesta, Ioannis Kapageridis, Agapi Vasileiadou, Kyros Koios, Nikolaos Kantiranis   +4 more
doaj   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Granulometry of archaeological site Nagyrede 1 (northern Hungary)

, 2017
Granulometry of archaeological site Nagyrede 1 (northern ...
Lehmkuhl, Frank, Frank Lehmkuhl (7892984), Wei Chu (8018687), Chu, Wei, Zeeden, Christian, Christian Zeeden (6961799)   +5 more
core   +1 more source

Valorization of Post‐Consumer Waste From Metallized Flexible Packaging and Industrial EPM Waste: Development of Sustainable Composites

Journal of Applied Polymer Science, EarlyView.
Post‐consumer metallized flexible packaging waste and industrial EPM waste are transformed into sustainable composites through mechanical recycling. The incorporation of 30 wt% EPM provides the most favorable balance between stiffness, ductility, and impact resistance, achieving 53.36 kJ/m2.
Tiago O. Oliveira, Samara L. Santos, Ruth M. C. Santana   +2 more
wiley   +1 more source

Granulometry and foraminiferal content of sediment core PI-88-AR_P9

, 2006
Granulometry and foraminiferal content of sediment core PI-88 ...
Kevin M Foley (8040362), Foley, Kevin M
core   +1 more source

Moderate Amylose Increases From SSIIa Mutations Modify Pasta Texture in Durum Wheat

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives Durum wheat (Triticum turgidum L. subsp. durum) pasta quality depends on grain yellowness, gluten strength, and protein content, and can be modified by altering starch composition. High‐amylose null mutants improve nutritional traits but often reduce seed size, yield, and processing quality.
Prashant Kumar, Andrew C. Hogg, Frank Manthey, Michael J. Giroux   +3 more
wiley   +1 more source

Granulometry of archaeological site Szécsénke-Kis-Ferenc-hegy (northern Hungary)

, 2017
Granulometry of archaeological site Szécsénke-Kis-Ferenc-hegy (northern ...
Lehmkuhl, Frank, Frank Lehmkuhl (7892984), Wei Chu (8018687), Chu, Wei, Zeeden, Christian, Christian Zeeden (6961799)   +5 more
core   +1 more source

Training Artificial Neural Networks to Detect Multiple Sclerosis Lesions Using Granulometric Data from Preprocessed Magnetic Resonance Images with Morphological Transformations

Technologies
The symptoms of multiple sclerosis (MS) are determined by the location of demyelinating lesions in the white matter of the brain and spinal cord. Currently, magnetic resonance imaging (MRI) is the most common tool used for diagnosing MS, understanding ...
Edgar Rafael Ponce de Leon-Sanchez, Jorge Domingo Mendiola-Santibañez, Omar Arturo Dominguez-Ramirez, Ana Marcela Herrera-Navarro, Alberto Vazquez-Cervantes, Hugo Jimenez-Hernandez, Diana Margarita Cordova-Esparza, María de los Angeles Cuán Hernández, Horacio Senties-Madrid   +8 more
doaj   +1 more source