18 citations · 27 across the 6 of their papers we have counts for
6 papers
A Hashgraph-Inspired Consensus Mechanism for Reliable Multi-Model Reasoning
Kolawole E. Ogunsina, Morayo A. Ogunsina
Inconsistent outputs and hallucinations from large language models (LLMs) are major obstacles to reliable AI systems. When different proprietary reasoning models (RMs), such as tho…
Fleet-Level Environmental Assessments for Feasibility of Aviation Emission Reduction Goals
Kolawole Ogunsina, Hsun Chao, Nithin Jojo Kolencherry +4
The International Air Transport Association (IATA) is one of several organizations that have presented goals for future CO2 emissions from commercial aviation with the intent of al…
Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management
Kolawole Ogunsina, Daniel DeLaurentis
Airline disruption management traditionally seeks to address three problem dimensions: aircraft scheduling, crew scheduling, and passenger scheduling, in that order. However, curre…
Artificial Neural Network Modeling for Airline Disruption Management
Kolawole Ogunsina, Wendy A. Okolo
Since the 1970s, most airlines have incorporated computerized support for managing disruptions during flight schedule execution. However, existing platforms for airline disruption…
Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management
Kolawole Ogunsina, Marios Papamichalis, Daniel DeLaurentis
Disruption management during the airline scheduling process can be compartmentalized into proactive and reactive processes depending upon the time of schedule execution. The state…
Exploratory Data Analysis for Airline Disruption Management
Kolawole Ogunsina, Ilias Bilionis, Daniel DeLaurentis
Reliable platforms for data collation during airline schedule operations have significantly increased the quality and quantity of available information for effectively managing air…