首页|New Machine Learning Study Findings Have Been Reported by Investigators at London South Bank University (Machine Learning Model of Acoustic Signatures: Towards Digitalised Thermal Spray Manufacturing)
New Machine Learning Study Findings Have Been Reported by Investigators at London South Bank University (Machine Learning Model of Acoustic Signatures: Towards Digitalised Thermal Spray Manufacturing)
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NETL
NSTL
Elsevier
Research findings on Machine Learning are discussed in a new report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, "Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The core research challenge in digitalisation of thermal spraying process lies in instrumenting the manufacturing platform as the process includes harsh conditions, including UV Rays, high-plasma temperature, dusty chemical environment, and spray booth inaccessibility." Financial supporters for this research include UK Research & Innovation (UKRI), Hubert Curien Partnership award 2022 from the British Council, International exchange Cost Share award by the Royal Society, Royal Academy, Eusko Jaurlaritza.
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningLondon South Bank University
NETL
NSTL
Elsevier
