Ilmenite Concentrate Properties and Processing Methods

Metallurgist ◽  
2013 ◽  
Vol 57 (5-6) ◽  
pp. 449-454 ◽  
Author(s):  
D. K. Isin ◽  
S. O. Baisanov ◽  
M. Zh. Tolymbekov ◽  
E. M. Azbanbaev ◽  
A. S. Baisanov ◽  
...  
Keyword(s):  
Processing Methods ◽  
Ilmenite Concentrate

Variations in the traditional processing methods of Pentadesma butracea butter in northern Benin

Food Chain ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 261-274 ◽  
Author(s):  
Eric Badoussi ◽  
Paulin Azokpota ◽  
Yann Madodé ◽  
Polycarpe Kayodé ◽  
Alphonse Dossou ◽  
...  
Keyword(s):  
Processing Methods ◽  
Traditional Processing

Prospective Digital Processing Methods of Multidimensional Signals with the Use of Irregular Meshes

Vestnik MEI ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 98-107
Author(s):  
Sergey V. Vishnyakov ◽  
◽  
Elizaveta A. Sokolova ◽  
Vitaliy V. Pekhterev ◽  
◽  
...  
Keyword(s):  
Digital Processing ◽  
Processing Methods ◽  
Multidimensional Signals ◽  
Irregular Meshes

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

2020 ◽  
Author(s):  
Vadim V. Korolev ◽  
Artem Mitrofanov ◽  
Kirill Karpov ◽  
Valery Tkachenko
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Natural Science ◽  
Therapeutic Agent ◽  
Semantic Relations ◽  
Chemical Data ◽  
Processing Methods ◽  
Modern Natural

The main advantage of modern natural language processing methods is a possibility to turn an amorphous human-readable task into a strict mathematic form. That allows to extract chemical data and insights from articles and to find new semantic relations. We propose a universal engine for processing chemical and biological texts. We successfully tested it on various use-cases and applied to a case of searching a therapeutic agent for a COVID-19 disease by analyzing PubMed archive.

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Nonparametric Pre-Processing Methods and Inference Tools for Analyzing Time-of-Flight Mass Spectrometry Data.

2007 ◽  
Vol 3 (2) ◽  
pp. 127-147 ◽  
Author(s):  
Anestis Antoniadis ◽  
Jeremie Bigot ◽  
Sophie Lambert-Lacroix ◽  
Frederique Letue
Keyword(s):  
Mass Spectrometry ◽  
Time Of Flight ◽  
Mass Spectrometry Data ◽  
Processing Methods ◽  
Flight Mass Spectrometry

Recent Patents on Micro-EDM Milling

2020 ◽  
Vol 13 (3) ◽  
pp. 219-229
Author(s):  
Baocheng Xie ◽  
Jianguo Liu ◽  
Yongqiu Chen
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Three Dimensional ◽  
Processing Method ◽  
Electrode Wear ◽  
Micro Edm ◽  
Processing Efficiency ◽  
Processing Methods ◽  
Machining Quality ◽  
Micro Electrical Discharge Machining

Background: Micro-Electrical Discharge Machining (EDM) milling is widely used in the processing of complex cavities and micro-three-dimensional structures, which is a more effective processing method for micro-precision parts. Thus, more attention has been paid on the micro-EDM milling. Objective : To meet the increasing requirement of machining quality and machining efficiency of micro- EDM milling, the processing devices and processing methods of micro-EDM milling are being improved continuously. Methods: This paper reviews various current representative patents related to the processing devices and processing methods of micro-EDM milling. Results: Through summarizing a large number of patents about processing devices and processing methods of micro-EDM milling, the main problems of current development, such as the strategy of electrode wear compensation and the development trends of processing devices and processing methods of micro-EDM milling are discussed. Conclusion: The optimization of processing devices and processing methods of micro-EDM milling are conducive to solving the problems of processing efficiency and quality. More relevant patents will be invented in the future.

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