Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"enhanced models"”.
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Advancing Cross-Domain Fake News Detection: Enhanced Models to Improve Generalization and Tackle the Class Imbalance Problem
… concerns, and adversarial exploitation of these models. Several challenges hinder the effectiveness of current FND models. Among these, cross-domain generalization and class imbalance are two critical problems that considerably impact the performance of detection systems. Although there are …
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Non-linguistic Notions in Language Modeling: Learning, Retention, and Applications
… the use of transformer-based large language models (LLMs), has drastically changed how we view and use artificial intelligence (AI) and machine learning (ML) in our daily lives. Although LLMs have showcased remarkable linguistic proficiency in their abilities to write, summarize, and phrase, …
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The relationship between rail transit ridership and built environment and transportation system
… and spatial regression are also used as enhanced models. Variables concerning each station as well as the station catchment area were considered and tested. This research finds that factors related to transportation system, land use, pedestrian environment, and socio-demographics are …
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Network-Level Structural Condition Data for Sustainable Pavement Asset Management
… management by enhancing roughness prediction models with structural condition data. Traditional roughness models rely solely on pavement age, limiting their ability to capture the influence of structural condition on roughness progression. In this study, structural metrics such as the surface …
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Network Design and Analysis Problems in Telecommunication, Location-Allocation, and Intelligent Transportation Systems
… Technique (RLT) to construct various enhanced tightened versions of the proposed model. We also design efficient Lagrangian dual schemes for solving the linear programming relaxation of the various enhanced models, and construct an effective heuristic procedure for deriving good …
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New Opportunities in Crowd-Sourced Monitoring and Non-government Data Mining for Developing Urban Air Quality Models in the US
… [ML]) could be used to improve air quality models (i.e., land use regression [LUR]) at local, regional, and national levels for refined exposure assessment. LUR models are commonly used for predicting air pollution concentrations at locations without monitoring data based on neighboring land …
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Improving the ability of energy systems optimisation modelling to inform national energy policymaking
Energy Systems Optimisation Models (ESOMs) are extensively used to inform energy and environmental policymaking. They generate valuable insights into the possible pathways that reduce our reliance on fossil fuels and achieve ambitious clean energy transition goals. However, the academic literature …
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Enhanced Formulations for Minimax and Discrete Optimization Problems with Applications to Scheduling and Routing
This dissertation addresses the development of enhanced formulations for minimax and mixed-integer programming models for certain industrial and logistical systems, along with the design and implementation of efficient algorithmic strategies. We first examine the general class of minimax …