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 5 of 5 for “"Clustering-based approach"”.
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Multi-level acoustic modeling for automatic speech recognition
… data sparsity problem has been dealt with by a clustering-based framework which systematically groups different context-dependent units into clusters such that each cluster can have enough data. Although dealing with the data sparsity issue, the clustering-based approach also makes all …
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Inverse Constitutional AI
… an initial attempt at realizing ICAI through a clustering-based methodology applied to preference datasets. The proposed approach involves embedding preference pairs into vector representations, clustering the embeddings to group related preferences, generating interpretable principles for each …
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Load Frequency Control for Electric Water Heater Using DBSCAN Algorithm in real-time
… while maintaining customer comfort. The approach employs Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to dynamically group water heaters based on their thermal state and operational flexibility, enabling coordinated response to grid frequency …
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Advancing SCRAM: Privacy-Centric Approaches in Cyber Risk Measurement
… new privacy guarantees for the framework based on the concepts of Predicate Singling Out (PSO) and Differential Privacy (DP). These guarantees aim to protect the identity and data of the participating parties while still allowing for meaningful aggregate measurements. We then demonstrate …
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System reliability analysis methods for rapid multi-scale network risk assessment and decision making
… corresponding component status. This simulation-based approach allows for straightforward applications of deterministic network analysis algorithms, yet hampers rapid risk assessment and effective decision-making. Even though a non-simulation based algorithm, termed as a recursive decomposition …