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)

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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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.15)