首页|New Machine Learning Findings from University of Technology Described (Machine L earning-based Seismic Characterization of Deepwater Turbidites In the Dangerous Grounds Area, Northwest Sabah, Offshore Malaysia)
New Machine Learning Findings from University of Technology Described (Machine L earning-based Seismic Characterization of Deepwater Turbidites In the Dangerous Grounds Area, Northwest Sabah, Offshore Malaysia)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Seri Iskandar, Malaysia, by NewsRx editors, research stated, “Seismic interpretation is a criticalaspect of hydrocarbon exploration, where geoscientists often struggle to accurately recog nize patterns andanomalies in large datasets. Machine learning techniques offer a promising solution by allowing for thequick and accurate analysis of multipl e and large-size seismic volumes.”
Seri IskandarMalaysiaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Technology