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Energies, Vol. 15, Pages 8752: Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin
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Energies, Vol. 15, Pages 8752: Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin
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Energies, Vol. 15, Pages 8752: Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin
🌐 365 Days
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- Artificial Intelligence and Computational Biology in Gene Therapy: A Review
- The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy
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- Researchers find oldest undisputed evidence of Earth’s magnetic field
- Large Language Model-Based AI Agent for Organic Semiconductor Devices Research
- Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation
- New database sheds light on violence in Greek detention facilities
- Trends in cardiology and oncology artificial intelligence publications
- Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview
- Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis
- Unraveling the formation of oxygen vacancies on the surface of transition metal-doped ceria utilizing artificial intelligence
- Modern Slavery and Human Rights Policy and Evidence Centre moves to Oxford University after receiving continuation funding
- Generative artificial intelligence in surgery
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- Harnessing artificial intelligence for prostate cancer management
- Evaluation of an artificial intelligence model for identification of mass effect and vasogenic edema on computed tomography of the head
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- From Bench-to-Bedside: How Artificial Intelligence Is Changing Thyroid Nodule Diagnostics
- Artificial intelligence in colonoscopy: from detection to diagnosis
- Knowledge, attitudes and practices of using Indocyanine Green (ICG) fluorescence in emergency surgery: an international web-based survey in the ARtificial Intelligence in Emergency and trauma Surgery (ARIES)-WSES project
- Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models within Cardiology
- Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults