... pathways, demonstrating that the generative AI has potential in the protective coating field as more extreme performance is required. Artificial Intelligence Informatics Coatings Polymers INTRODUCTION Generative artificial intelligence has become a major focus in recent years across multiple industries...

... and implement corrective actions in a timely manner. This paper reviews concepts and capabilities of various prediction techniques including 5M-Methodology, Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL) in managing external corrosion of oil and gas pipelines and describes...

... in the ultrasonic wave forms are observable in pipes filled with varying amounts of water, oil, and sediment. Waveforms of different conditions of water, oil, and sludge were gathered in the lab and used to train an artificial intelligence (AI) model which was utilized to interpret waveforms of the permanently...

.... Application of artificial intelligence to predict corrosion rate offers advantages where real high frequency data streams from IoT sensors are analyzed via machine learning algorithm thus providing prediction based on historical experience of specific asset. Data preprocessing is an important step in machine...

... modeling are complementing each other to automate the development and evaluation of corrosion inhibitor actives by a means of electrochemical procedures. Abstract In this work, a novel analysis approach using an artificial intelligence (AI) framework that automatically helps identify the drivers...

... machine learning auto-encoders artificial intelligence multitask learning INTRODUCTION Corrosion of metallic structures is a ubiquitous problem in industries such as power generation, oil and gas, pulp and paper, metals processing etc. which also results in significant financial losses [ 1...

... and practical importance to the advancement of the deep learning field. Examples of successful image classification networks developed are AlexNet, VGG, and GoogLeNet. ^{1 , 2 , 3} Following the popularization of artificial intelligence accelerators that significantly improve the performance...

... failure and to enhance time, costs, and performance of asset integrity management activities. The development of a software is discussed, bringing a view on how to merge the Industry 4.0 technologies such as Digital Twins, Artificial Intelligence, Cloud services, and Mobile concepts to deploy predictive...

... and to enhance time, costs, and performance of asset integrity management activities. The development of a software is discussed, bringing a view on how to merge the Industry 4.0 technologies such as Digital Twins, Artificial Intelligence, Cloud services, and Mobile concepts to deploy predictive models. Advances...

... the contextual data associated with the rectifier and will predict the long-term rectifier resistance trend. Cathodic Protection Impressed Current Systems Rectifier Groundbed Pipeline Machine Learning Predictive Maintenance IoT Big Data Artificial Intelligence Remote Monitoring INTRODUCTION Impressed...