Dear Community,
Interested in learning about Deep Learning and Text Mining applied to problems in the railway industry? In the next RAS webinar, Dr. Trefor Williams will share his insights on this topic. This webinar is FREE and open to all, but registration is required. Reserve your spot at
http://tiny.cc/raswebinar15Full details below:
Title: "Railroad Applications of Deep Learning and Text Mining"
Speaker: Dr. Trefor Williams, Professor Emeritus, Civil and Environmental Engineering, Rutgers University.
Date/Time: Wednesday February 23rd, 2022
10:00 EST New York
16:00 CET Amsterdam
23:00 CST Beijing
Abstract:
Deep learning has emerged as a powerful artificial intelligence tool that can be applied to various types of railroad maintenance and operations issues. Several deep learning models have recently emerged, and these models have very powerful text mining capabilities that include classification problems using text as input, and the ability to automatically answer questions from a text. There are considerable amounts of text data available like maintenance reports, accident records and operational reports that can be mined to gain new insights. This article describes the application of two types of deep learning models to predict maintenance effects on operations and to automatically answer questions about maintenance standards. This webinar will introduce deep learning and text mining. Several different railroad applications of deep learning including Long-Short Memory networks and transformer models will be discussed. Examples include the prediction of operational affects of maintenance activities, automated question answering from design manuals.
Bio:
Dr. Trefor P. Williams, is Professor Emeritus of Civil Engineering at Rutgers University. He has over 40 years of academic and consulting experience in the areas of railroad engineering, and construction management. He formerly worked as an Assistant Engineer for the Delaware and Hudson Railroad in the areas of railroad grade crossing design and track maintenance. His current research focus is the application of machine learning to railroad operations, maintenance and safety. He has published numerous research papers showing how machine learning and artificial intelligence can be applied to railroad problems. He holds a PhD in Civil Engineering from the Georgia Institute of Technology. He is a Professional Engineer in New York and New Jersey.
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Andrea Arias
Sr. Operations Research Scientist II
BNSF Railway
Fort Worth TX
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