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.
Results
Showing 1 to 20 of 43 for “"Model Optimization"”.
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Screening model optimization for Panay River Basin planning in the Philippines
… and an irrigation facility. Screening model optimization produced results to provide insight for future water resources management in the basin. The modeling was completed in GAMS (General Algebraic Modeling System).
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Optimization of slender space trusses utilizing a continuum model
A method for the incorporation of continuum modeling in the optimization of large discrete structures is presented. The use of a continuum model facilitates decomposition of optimization problems and augments the scope and applicability of the multilevel decomposition method. This new concept is …
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A stochastic ensemble forecast model for geosynchronous relativistic electron fluxes
A stochastic ensemble model composed of three functional forecasting models has been developed to forecast >2 MeV electron flux at geosynchronous (GEO) orbit. The REFM model is based on a statistical link between electron flux and solar wind speed using empirically derived linear filter …
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Methods for Generating Alternative Solutions to Environmental Planning Problems
An optimization model is not a perfect representation of a complex environmental planning problem because not all important objectives can be captured in a model. Optimization models can be used in a planning process to generate planning alternatives that are good and different so that the analyst …
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Generative Latent Motion Planning and Reinforcement Learning for Legged Locomotion
… the distributional sim-to-real gap, simulation model optimization for hardware matching, latent space motion sequence planning, and latent style training, I demonstrate never-before-seen performance on legged hardware.
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Mechanistic Interpretability for Progress Towards Quantitative AI Safety
… key areas: inference stages in large language models (LLMs) and novel program synthesis methods using mechanistic interpretability. We explore the robustness of LLMs through layer-level interventions such as zero-ablations and layer swapping, revealing that these models maintain high accuracy …
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Biomechanics-Based Optimization for Exoskeleton Design
… This thesis will provide a proof of concept on optimization techniques using motion data using a simplified 3 DOF model to facilitate future work implementing a full 5 DOF model. Optimization will be performed to determine the link lengths and, consequently, the locations of the joints of the …
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Understanding The Effects of Incorporating Scientific Knowledge on Neural Network Outputs and Loss Landscapes
… mainstream problems in vision and language modeling, they are still challenged by their lack of interpretable decision-making that is consistent with scientific knowledge, limiting their applicability for scientific discovery applications. Recently, a new field of machine learning that …
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Making Sense of Training Large AI Models
Today, one of the most impressive applications of optimization is the training of large AI models. But currently such models are trained with ad-hoc heuristics at a very large computational cost, mainly due to lack of understanding of their working mechanisms. In this thesis, we conduct a …
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… environment. This is done with three separate models: a LiDAR-only model, a camera-only model, and a deep fusion model. The LiDAR model demonstrates the feasibility of using LiDAR image projections as a valuable data representation. The camera model demonstrates the feasibility of …
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Biojutiklių atsako kreivių ir medžiagų koncentracijų regresinė analizė /
… of this work is to create non liner regression model with optimal number of coefficients and optimal values of these coefficients, and predict liquor concentration having values of amperimetric data. The main task of the work: • To use Semi-supervised learning algorithm while creating the model …
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Improving Model Generalization of Pneumonia Detection from Chest Xray Images Using Deep Learning and Transfer Learning
… tool. Despite their promise, deep learning models for pneumonia detection often face limitations in generalization, performing strongly on familiar datasets but losing accuracy when applied to unseen data from different clinical environments. This study addresses that challenge by applying …
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Mother-Offspring Relationships in Tibetan Macaques (<i>Macaca thibetana</i>) at Mt. Huangshan, China
… compress the number of behaviors. I calculated model optimization by backward selection was to predict the principal components based on the characteristics of the mother (i.e., age, parity, matriline size, and dominance rank) and offspring (i.e., age and sex). From these results, I concluded …
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Mechanical and Electromagnetic Optimization of Structurally Embedded Waveguide Antennas
… to provide a computationally low-cost method for modeling waveguide antenna arrays on the scale of an aircraft skin panel using a multi-fidelity model. Weather detection radar for the Northrop Grumman X-47 unmanned air system is considered as a case study. COMSOL Multiphysics is used for creating …
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H2OGAN: A Deep Learning Approach for Detecting and Generating Cyber-Physical Anomalies
… Networks, H2OGAN, a time-series GAN-based model designed to synthesize water data. H2OGAN produces water data based on the characteristics within the expected constraints of water data cardinality. This generative model serves multiple purposes, including data augmentation, anomaly …
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Sculpting representations for deep learning
… improved representations for deep learning models. We present contributions that are based on five papers and make progress in several different research directions. First, we present techniques which leverage spatial and relational structure to achieve greater computational efficiency of …
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A Virtual Muscle Model of the Arm for EMG-Driven Control of Prostheses
… abandonment rates as high as 50%. Neuromuscular modeling provides a powerful tool for the development of custom controllers to improve the clinical efficacy of prostheses. This thesis develops techniques for the creation of models of the arm using a reduced number of virtual muscles. These models …
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Control of acoustics and store separation in a cavity in supersonic flow
… first problem, an innovative cavity acoustics model is developed that rigorously explains the role of leading edge microjets in cavity noise suppression and predicts the magnitude of noise reduction for a given control input (that is the steady pressure at which the microjets are fired). The …
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Humanoid Robot Friction Estimation in Multi-Contact Scenarios
… body dynamics and required compliant humanoid model optimization are established which allow incorporation of friction constraints. These friction constraints are then informed by monitoring of external forces, which can be used as an indicator of slip based on tangential force. In practice, …
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