AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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19,710 papers
Abstract Retrieval and structural checks can make natural-language optimization outputs appear usable even when numerical grounding—assigning textual quantities to model parameters—is incomplete. We examine this diagnostic gap through three questions: fixed-catalog schema identification, the validity of coverage/type r...
Abstract This paper highlights the advancements of Sand Management where machine learning (ML) algorithms and Artificial Intelligence (AI) logics have been incorporated in a digital portal at various levels to digitalize holistic Sand management along with visualization dashboards for seamless sand production and risk...
ABSTRACT Informatics education requires instructional designs that connect conceptual understanding with procedural application and contextual problem-solving. This study aimed to develop an Artificial Intelligence (AI)-integrated course based on Problem-Based Learning (PBL) to support these two competencies among juni...
Abstract As subsurface data platforms increasingly power artificial intelligence (AI), machine learning (ML), and agentic workflows, advisory or post-hoc quality control (QC) is insufficient to prevent non-compliant data from propagating at scale. This paper presents ADNOC's enforceable governance and quality framework...
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Abstract At remote oil and gas facilities, closed-circuit television still relies on a person watching live views and searching stored footage after an event. As camera counts rise, that arrangement misses brief, distant, partly hidden, or visually ambiguous events more easily. This paper examines field validation of a...
Abstract This paper details an innovative practice and adapted initiative implemented by Company Asset to ensure continuous measurement, monitoring, and control of oil flow from oil-producing well leveraging Artificial Intelligence. In addition to maintaining the specified oil flow target, autonomous gas flow control w...
Abstract In modern oil and gas operations, Multiphase Flow Meters (MPFMs) have become indispensable for applications ranging from single-well production metering to fiscal allocation. Yet the reliability of the high-frequency data they produce remains a persistent operational vulnerability. Engineers frequently receive...
Abstract To address the challenges of sparse in situ observations, limited spatial resolution of long-term datasets, and insufficient representation of regional wind-field details in offshore wind resource assessment, this study develops a high-accuracy wind resource observation and assessment framework based on multi-...
This study explored the integration of Artificial Intelligence (AI) tools in chemistry instruction, focusing on teachers’ utilization patterns, perceptions, and the challenges they encounter. A sample of 18 chemistry teachers from various institutions participated, providing insights into the types and frequency of AI...
The findings reveal that Artificial Intelligence, when utilized as a cognitive scaffold rather than a replacement for authorial voice, significantly amplifies the student's capacity to navigate intertextual networks and resolve “artificial hallucinations” through intuitive filtering.
Abstract Recognizing the fact that Artificial Intelligence (AI) is a pivotal driver of ADNOC's ongoing ENERGYai vision and transformation, a Team in ADNOC Offshore re-evaluated their critical routine operations and successfully developed ideas to convert these physical operations in Offshore into autonomous processes m...
Abstract Reliable failure data is the starting point for practical reliability engineering in oil and gas operations. In many assets, however, the most useful failure information is recorded in free-text maintenance work-order narratives rather than in consistently populated structured fields. As a result, historical r...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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