Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (2)
- Physical Sciences and Mathematics (2)
- Acoustics, Dynamics, and Controls (1)
- Artificial Intelligence and Robotics (1)
- Automotive Engineering (1)
-
- Aviation Safety and Security (1)
- Catalysis and Reaction Engineering (1)
- Chemical Engineering (1)
- Civil and Environmental Engineering (1)
- Computer Engineering (1)
- Computer-Aided Engineering and Design (1)
- Data Science (1)
- Databases and Information Systems (1)
- Digital Communications and Networking (1)
- Electro-Mechanical Systems (1)
- Maintenance Technology (1)
- Mechanical Engineering (1)
- Numerical Analysis and Scientific Computing (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Programming Languages and Compilers (1)
- Structural Engineering (1)
- Transportation Engineering (1)
Articles 1 - 3 of 3
Full-Text Articles in Management and Operations
Network-Aware Airline-Specific Flight Delay Prediction Using Tree-Based Ensemble Models, Mary Dufie Afrane
Network-Aware Airline-Specific Flight Delay Prediction Using Tree-Based Ensemble Models, Mary Dufie Afrane
College of Graduate Studies: Theses & Dissertations
Flight delays pose persistent challenges to the efficiency and reliability of air transportation systems, affecting airlines, airports, regulators, and passengers alike. As traffic demand grows and operational environments become increasingly interconnected, accurately predicting both departure and arrival delays has become crucial for effective planning and mitigation. This study presents a network-aware, airline-specific framework for predicting flight delays in U.S. domestic air transportation systems using tree-based ensemble machine learning models. A large-scale dataset of 1.98 million flights, enriched with weather information, is used to develop predictive models for both departure and arrival delays. To capture the structural and operational complexity of …
A Comprehensive Review Of Fischer-Tropsch Synthesis Processes To Produce Sustainable Diesel And Aviation Fuel, Joseph C. Steinagel
A Comprehensive Review Of Fischer-Tropsch Synthesis Processes To Produce Sustainable Diesel And Aviation Fuel, Joseph C. Steinagel
Honors College Theses
The greatest threat known to humankind today is global warming. It affects every nation on the planet and the natural order of all living things. Consequently, this ongoing crisis necessitates action to scientifically revolutionize important areas of society, including researching modern adaptations of the transportation industry. In that regard, it has been determined that an effective short-term answer to eliminating carbon emissions is to produce sustainable fuels that run cooperatively with the well-established machines of today. Sustainable aviation fuel (SAF) is one such topic of interest, and the Fischer-Tropsch synthesis process is an effective way of producing SAF. To that …
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
College of Graduate Studies: Theses & Dissertations
Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …