artificial intelligence

Artificial intelligence-driven decoding of Baijiu flavor: From multimodal data integration to mechanistic interpretation and intelligent brewing

From Predictive Analytics to Decision Governance: An AI-Enabled Framework for Condition-Based Maintenance of Industrial Gas Turbines

Abstract The objective of this paper is to reframe AI-enabled predictive maintenance from a failure prediction activity into a structured decision support capability. It describes how artificial intelligence, combined with physics-based models and real operating data, supports faster interpretation of asset behavior wh...

Toward Prompt Literacy in AI-Assisted EFL Writing: A Conceptually Driven Narrative Review

Generative artificial intelligence (AI) is increasingly used in English as a foreign language (EFL) writing for idea generation, planning, drafting, feedback, revision, and editing. However, its educational value depends not only on model capability but also on the quality of learners’ interactions with AI. This concep...

The Effect of Generative AI and Gamification on Enhancing Students’ Motivation Based on the ARCS Model

High school biology learning is often hindered by abstract concepts and cognitive overload, leading to low student motivation. Although generative artificial intelligence (GenAI) and gamification show instructional potential, their combined motivational effects remain underexplored. Grounded in the ARCS model, this stu...

AI and Classroom Assessment in Pre-service Teacher Education: A Bibliometric Analysis of Research Trends, Thematic Evolution, and Future Directions

The findings suggest that AI-enhanced classroom assessment is not merely a technological issue but a pedagogical and professional concern requiring assessment literacy, AI literacy, ethical judgment, and teacher agency.

Connected Worker: An AIDT Framework for Safety Excellence in Downstream Petrochemical Operations

Abstract This paper presents an Artificial Intelligence and Digital Technology (AIDT) based Connected Worker Framework developed to enhance operational, process, and workforce safety within downstream petrochemical operations. The framework integrates electronic work management, computer-vision monitoring, workforce vi...

AI-Driven Video Analytics and Behavioral Safety Intelligence: Enhancing Human-Centered Operational Adaptation in Offshore Support Vessels

Computer vision and artificial intelligence (AI) are increasingly used in industrial Health, Safety, and Environment (HSE) management to detect missing personal protective equipment (PPE), restricted-zone entries, and line-of-fire exposure. Early offshore and industrial deployments established the technical feasibility...

Agentic AI Control Tower for Offshore EPCI Marine Logistics Optimisation in Multi-Contractor Island Projects

Abstract Offshore engineering, procurement, construction, and installation work depends on a marine logistics chain capable of balancing urgent construction demand against limited vessel capacity, field-entry and towage approvals, crew compliance, berth congestion, weather windows, fuel and freshwater availability, and...

End-To-End Petrophysical Operations with Agentic AI: A Horizontal Carbonate Reservoir Well Case Study from a Mature Onshore Field, Abu Dhabi

Abstract Petrophysical work follows a well from planning through drilling and into completion, and at each step it usually passes between different specialists, vendor software, and email threads. This paper describes an in-house agentic artificial-intelligence assistant that brings those steps together behind one inte...

Predicting Tomorrow's Failure Today: AI-Driven Time-To-Failure and Multivariable Deviation Analytics for Advancing Reliability and Production Excellence

Oil and gas facilities operate as interconnected systems. A change in one part of the plant can affect equipment reliability, process stability, production, energy use, and emissions elsewhere. Conventional surveillance relies on alarms, operating limits, inspections, and subject matter expertise. These safeguards re...

Reinventing the Upstream Control Room: An Agentic AI Approach to Early Deviation Detection and Remediation

Abstract The upstream control room is where production, injection, chemical, and emissions performance are monitored against target, and where operational deviations must be detected and resolved before they compound into lost output, avoidable emissions, or safety exposure. In practice, this task is hindered by four r...

Revolutionizing Reservoir Surveillance: A Deep Dive Into Virtual Well Testing Technology

Abstract This paper analyses a five-year implementation of an innovative Virtual Well Testing (VWT) technology for reservoir surveillance. VWT enables continuous, real-time insight into reservoir performance and well productivity. The tool utilizes the power of artificial intelligence, making it a live asset management...