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 20 of 10395 for “"sequence"”.
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SEQUENCE
Sequence: Meta-Noir Narratives is a series of ink drawings and specialty prints that reflect the tone and mood of film noir. This tone and mood is obtained by implementation of a 'noir filter.' The filter is applied to appropriated images from contemporary motion pictures. The selection of these …
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Sequence
<p>SEQUENCE is a young adult novel whose central protagonist, Franklin "Flex" Bennet, is a mixed race teen struggling to find acceptance in a small Kentucky town. Already dealing with several strikes against him, his troubles intensify when he starts manifesting supernatural abilities, which only …
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A sequence related to the Stern sequence
… and study a two-parameter family of recursive sequences which we call the bow sequences. The general bow sequence is defined similarly to the Stern sequence, and many of the properties of the bow sequences are related to known properties of the Stern sequence. In particular, we derive the …
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Improving Attention-based Sequence-to-sequence Models
… achieved state-of-the-art performance in various sequence-to-sequence tasks, including Neural Machine Translation (NMT), Automatic Speech Recognition (ASR) and speech synthesis, also known as Text-To-Speech (TTS). These models are often autoregressive, which leads to high modeling capacity, but …
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On the Stern sequence and a related sequence
… dissertation, we discuss properties of the Stern sequence, denoted by s(n), and define a related sequence. First, we give a brief historical background and known results. We then discuss the second and third largest values for the Stern sequence, as well as the asymptotics when a value m will …
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Forecasting Energy Consumption using Sequence to Sequence Attention models
… of a signal. Consequently, this thesis applies Sequence-to-Sequence (S2S) Recurrent Neural Networks (RNNs) with attention for electrical load forecasting. The S2S and S2S attention architectures commonly used for neural machine translation are adapted for energy forecasting. An RNN enables …
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Multiple sequence alignment with sequence length heterogeneity and its applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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Sequence Synchronisation in Chaos-based Direct Sequence Spread Spectrum Communication Systems
… into the modelling and performance of sequence synchronisation in Chaos-based Direct Sequence Spread Spectrum (CDS-SS) communication systems with the aims of identifying the existing gaps in research and suggesting a new and accurate modelling approach. The CDS-SS systems offer physical …
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Integrated multiple sequence alignment
… enhancements for automated and manual multiple sequence alignment: existing alignment algorithms are made more easily accessible and new algorithms are designed for difficult cases. Firstly, we introduce the QAlign framework, a graphical user interface for multiple sequence alignment. It …
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The Roles of Language Models and Hierarchical Models in Neural Sequence-to-Sequence Prediction
… the benefit of hierarchical models in sequence-to-sequence prediction. Hand-engineered covering grammars are effective in preventing catastrophic errors in neural text normalization systems. Our operation sequence model for interpretable NMT represents translation as a series of actions …
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Sequence Dependent Elasticity of DNA
… repair genes. The essential role played by the sequence dependent structure and deformability of DNA in these basic processes of life, has received increasing attention over the past years. The present work aims at better understanding sequence dependent elasticity of double stranded DNA …
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Action recognition via sequence embedding
… distances between the templates and the action sequence. In order to capture both shape and motion features, we employ three different kinds of image representation method, such as edge detection, Histogram of Oriented Gradients (HOG) and Histogram of Optical Flow (HOF). After capturing shape …
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Outlier sequence detection using LZW
Includes bibliographical references (pages 85-90).
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Chord Sequence patterns in OWL
… Web Ontology Language (OWL) focusing on chord sequence representation and presents and evaluates a newly developed solution. The solution consists of two main components. Ontological modelling patterns for musical entities such as notes and chords are introduced in the (MEO) ontology. A …
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Aspects of biological sequence comparison
Thesis (Ph. D)--Massachusetts Institute of Technology, Dept. of Mathematics, 1987.
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An unstable Adams spectral sequence.
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 1966
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Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
… as an intentional violation of the expected sequence of packets. In a real-time network-based IDS, incoming packets are treated as a stream of data. A stream processor takes any stream of data or events and extracts interesting patterns on the fly. This representation allows applying …
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Sequence and structural analysis of antibodies
The work presented in this thesis focusses on the sequence and structural analysis of antibodies and has fallen into three main areas. First I developed a method to assess how typical an antibody sequence is of the expressed human antibody repertoire. My hypothesis was that the more \humanlike" an …
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