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 37 for “"transformer model"”.
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A Spam Transformer Model for SMS Spam Detection
… develop new SMS spam detection technologies. The Transformer, an attention- based sequence to sequence model, has achieved excellent results in multiple different tasks recently. In this thesis, we propose a modified Transformer model for SMS spam messages detection. The evaluation of our proposed …
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Choice Modeling and Assortment Optimization on the Transformer Model
The problem of modeling customer choices and finding assortments with maximal revenue has been widely studied in revenue management. Random utility models (RUMs) are typically used to model choice. These models implicitly enforce a rational decision making process whereby a customer is endowed with …
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Development of a finite element matrix (fem)three-phase three-limb transformer model for Geomagnetically Induced Currents (GIC) experiments
… material damage to system components like power transformers. In power transformers, GIC impacts are evidenced by part-wave saturation, resulting in transformers experiencing increased presence of odd and even harmonics. The three-phase three-limb (3p3L) transformer has been found to be the most …
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Synthesizing Tabular Time Series Data using Transformers
… extra temporal component. One such work uses a transformer model, and we use this work as a baseline for our own work. We specifically created a service in order to address the problem of deploying the transformer model on the cloud and to increase accessibility to the transformer model, and …
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Forecasting the Next Winning Stock: A Comparative Analysis of Machine Learning Models
… end, various statistical and machine learning models are analyzed, with special emphasis on the Transformer model due to its relevance and alignment with the structure of this work. The present study proposes a novel idea to address the problem. Its contributions stand out in an initial …
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Harmonic analysis of transformer excitation currents
Transformer core nonlinearity has been a subject of research in electrical power engineering for many decades. An accurate and simple transformer model that takes into account its iron saturation appears to be lacKing The objective of this thesis is to propose a voltage-dependent model of …
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Deep Learning Prediction Models for Runway Configuration Selection and Taxi Times Based on Surface Weather
… Learning architectures, LSTM encoderdecoder and Transformer, to predict taxi out times and runway configuration selection for airports in MCO and JFK. An input sequence of 12 hours was used, which included surface weather data and hourly departures and arrivals. The output sequence was set to 6 …
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VADViT:Vision Transformer-Driven Memory Forensics for Malicious Process Detection and Explainable Threat Attribution
… challenges, we propose VADViT, a vision-based transformer model that detects malicious processes by analyzing Virtual Address Descriptor (VAD) memory regions. VADViT converts these structures into Markov, entropy, and intensity-based images, classifying them using a Vision Transformer (ViT) …
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De-identification of free-text clinical notes
… of automated de-identification systems. Notably, models built using recurrent neural networks achieved state-of-the-art performance on the de-identification task. Since the competition, new architectures based on transformers have been developed with excellent performance on general domain natural …
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Numerical modelling of a radio-frequency micro ion thruster
A simple performance model is developed for an inductively-coupled radio-frequency micro ion thruster. Methods of particle and energy balance are utilized for modeling the chamber plasma discharge. A transformer model is incorporated in the equations of energy balance for investigating the effect …
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Data-driven Part-of-Speech taggers for Icelandic : comparison and error analysis
… if any. These taggers represent four different models: a Hidden Markov model, an Averaged Perceptron algorithm, a Bidirectional Long Short-Term Memory neural network, and a Transformer neural network. We compare the accuracy of the four models and see from where each model's improvements stem. …
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Ontology-Guided Neural Translation of Human-Swarm Teaming State Space
… then, we propose a methodology to fine-tune a transformer model as the communication medium that aims to increase interpretability and explainability. The architecture, associated methods, and transformer model advance the human-swarm teaming research field by successfully interpreting the …
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Constrained and High-dimensional Bayesian Optimization with Transformers
… Prior-data Fitted Networks (PFNs), a foundation transformer model that evaluates objectives and constraints simultaneously in a single forward pass through in-context learning. This approach demonstrates an order of magnitude speedup while maintaining or improving solution quality across 15 test …
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Combining the Power of Attention Models and Many-objective Computational Intelligence Algorithms for Drug Design
… three objectives. First, it explores the use of Transformer-based models for ADMET prediction based on a hybrid fragment-SMILES tokenization scheme and two training strategies. Second, it evaluates the performance of contrastive Transformer-based latent models for molecular generation. Third, it …
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The ladder load-flow method extended to distribution networks
… analysis of Distribution Networks requires the modeling of mutual coupling, multiphase possibilities and unbalanced loading. The Ladder Load-Flow Method meets these requirements, but is limited to radial systems. The Switch Compensation Method presented here, extends the Ladder Load-Flow Method …
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Hybridising Organic Chemical and Synthetic Biological Reaction Data for Molecular Synthesis
… in synthetic planning and to develop a policy model to propose near-optimal multistep synthetic routes from the pool of available historical reactions. To quantify the added value of synthetic-biological reaction transformations in hybrid pathways, three policy model "decision makers" were …
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Investigating the application of frequency response analysis for diagnosing tap changer on power transformer
Electrical distribution power transformers operate on transmission and distribution systems which require different voltage levels. A sufficiently constant level of grid potential is maintained by mechanically regulating the turn ratio in the transformer winding, which can be achieved through OLTC …
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Four-Output Isolated Power Supply for the Application of IGBT Gate Drive
… inductance is analyzed in an L-R series circuit model as step-response, which relates the drop of output voltage to the load current. Then, the effects of the dc blocking capacitor for the unbalanced load condition and unbalanced duty cycle are tackled. The theoretical results are compared with …
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Machine-Guided Biopsy Analysis in Oncology: Facilitating Diagnostic Access and Biomedical Discovery Through Deep Learning
… into robust representations and ii) applies a transformer model to these representations to evaluate larger-scale histological patterns. Our model success- fully distinguished patients with high-risk genetic profiles from histology alone and provided visualization tools to highlight slide …
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