Machine learning for subsurface characterization /

Seismic inversion & deconvolution /
by: Robinson, Enders A.
Published: (1984)

Processing near-surface seismic-reflection data : a primer / Gregory S. Baker.
by: Baker, Gregory S.
Published: (1999)

Data, Engineering and Applications : Select Proceedings of IDEA 2021 /
Published: (2022)

Machine learning in geohazard risk prediction and assessment : from microscale analysis to regional mapping /
Published: (2025)

MACHINE LEARNING IN GEOHAZARD RISK PREDICTION AND ASSESSMENT from.
Published: (2024)

Deep learning innovations and their convergence with big data /
Published: (2018)

Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /
Published: (2023)

Big data analysis using machine learning for social scientists and criminologists /
by: Song, Juyoung, et al.
Published: (2019)

Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
by: Belyadi, Hoss, et al.
Published: (2021)

Big data management in sensing /
Published: (2021)

Machine learning model serving patterns and best practices : a definitive guide to deploying, monitoring and providing easy accessibility to machine learning models in production /
by: Islam, Md Johirul
Published: (2022)

Machine learning upgrade : a data scientist's guide to MLOps, LLMs, and ML Infrastructure /
by: Kehrer, Kristen, et al.
Published: (2024)

Machine learning and data analysis for energy efficiency in buildings : intelligent operation, maintenance, and optimization of building energy systems /
Published: (2026)

Machine learning and data analysis for energy efficiency in buildings : intelligent operation, maintenance, and optimization of building energy systems /
by: Zhao, Tianyi, et al.
Published: (2025)

Advantages and Pitfalls of Pattern Recognition : Selected Cases in Geophysics /
by: Langer, Horst
Published: (2020)

Machine learning in production : from models to products /
by: Kästner, Christian
Published: (2025)

Machine Learning and Big Data-enabled Biotechnology /
Published: (2026)

Introduction to digital filtering in geophysics /
by: Kulhánek, Ota
Published: (1976)

Machine learning applications in subsurface energy resource management : state of the art and future prognosis /
Published: (2023)

Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence /
by: Sekar, Maris
Published: (2022)

Machine learning for science and engineering.
by: Jaramillo, Herman, et al.
Published: (2023)

Utilizing big data paradigms for business intelligence /
Published: (2018)

Leveraging big data to improve traffic incident management /
by: Pecheux, Kelley Klaver, et al.
Published: (2019)

Big-Data Analytics for Cloud, IoT and Cognitive Computing /
by: Hwang, Kai, et al.
Published: (2017)

Big data management in sensing : applications in AI and IoT /
Published: (2021)

Machine learning in the analysis of solid deformation, fatigue and fracture /
by: Kang, Guo-zheng, 1969-, et al.
Published: (2026)

Machine learning applications in subsurface energy resource management : state of the art and future prognosis /
Published: (2023)

Machine learning for financial engineering /
Published: (2012)

Machine learning of design concepts /
by: Li, Heng
Published: (1994)

Machine learning for advanced manufacturing /
Published: (2026)

Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
by: Belyadi, Hoss, et al.
Published: (2021)

Machine learning for business analytics concepts, techniques and applications with JMP Pro.
by: Bruce, Peter C., 1953-, et al.
Published: (2023)

Applied machine learning on sensing technologies /
Published: (2025)

Machine learning methods in geoscience /
by: Schuster, Gerard Thomas, 1950-, et al.
Published: (2024)

Log analysis of subsurface geology : concepts and computer methods /
by: Doveton, John H., 1944-
Published: (1986)

Green machine learning and big data for smart grids : practices and applications /
Published: (2025)