首页|Findings in the Area of Machine Learning Reported from Brazilian Nanotechnology National Laboratory (Ultrafast Microfluidic Solvent Extraction and Machine Learn ing-assisted Impedimetric Sensor for Multidetermination of Scaling Ions In Crude Oils)
Findings in the Area of Machine Learning Reported from Brazilian Nanotechnology National Laboratory (Ultrafast Microfluidic Solvent Extraction and Machine Learn ing-assisted Impedimetric Sensor for Multidetermination of Scaling Ions In Crude Oils)
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Elsevier
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Campinas, Brazil, by NewsRx correspondents, research stated, “Flow assurance plays an important role in designing safe and efficient operation techniques along oil and gas explorat ions. In this way, approaches able to provide fast and field-deployable monitori ng of scaling ions in crude oils may benefit the petrochemical industry in its l ong-standing mission to devise ideal flow conditions by aiding the adoption of o ptimum dosages of off-the-shelf products.”
CampinasBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningBrazilian Nanotechnology National Lab oratory
NETL
NSTL
Elsevier
