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 11 of 11 for “"Bi-LSTM"”.
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Deciphering Emotional Responses to Music: A Fusion of Psychophysiological Data Analysis and Bi-LSTM Predictive Modeling
This research explores the temporal patterns of psychophysiological responses to musical excerpts by analyzing the expansive Emotion in Motion dataset, the most comprehensive of its kind. Utilizing the Dynamic Time Warping and T-test analysis techniques, we examined data from participants across …
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A Study of Machine Learning based on Physical Load Classification
… light-load and heavy-load. The traditional LSTM was able to achieve 71.1% accuracy for the multi-classification problem, and the Bi-LSTM was able to achieve a 74.5% correct classification rate. The excellent performance of multiple Bi-LSTMs for binary classification problems was exploited by …
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Detection of Crypto-Ransomware Attack Using Deep Learning
… models implemented in the proposed approach are Bi-directional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Networks (CNN). The deep learning models are compared against a classic machine learning model such as Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest …
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A data-driven approach to evaluating the effectiveness and adverse outcomes of antidepressant exposure using longitudinal real-world EHR data
… of life and well-being of millions. The variability in individual responses to antidepressant treatments necessitates a data-driven approach to improve predictive models and optimize therapeutic strategies. Leveraging a robust dataset from the PCORnet Common Data Model, which encompasses …
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Combating fake news with adversarial domain adaptation and neural models
… than ever to disseminate "fake news" and other dubious claims, automatic fact checking becomes an essential tool to help people discern fact from fiction. In this thesis, we focus on two main tasks: fact checking which involves classifying an input claim with respect to its veracity, and stance …
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Cloud and digital-twin enhanced thermal safety framework for e-mobility battery management systems
… systems (BMS) and thermal controls. LIBs exhibit nonlinear characteristics sensitive to operating and environmental conditions, but existing BMS technologies rely solely on surface temperature measurements, neglecting core temperatures, which can be up to 10°C higher during fast charging or …
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Acoustic-based machine learning diagnostic tool for voice disorders
… including deep acoustic recurrent model that combines frame-based cepstral and spectral features and Bi-directional Long short-term memory (Bi-LSTM) network, a 10-layer convolutional neural network (CNN) model with spectrogram of the speech as input, transfer learning from image recognition …
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Advances in NLP Algorithms on Unstructured Medical Notes Data and Approaches to Handling Class Imbalance Issues
… are widely used in NLP tasks such as RNN, GRU, LSTM, Bi-LSTM, as well as CNN and the novel and more advanced attention-based algorithms such as the Transformer Encoder and BERT-Base. The model performances of these algorithms were evaluated with and without pre-trained word embeddings. The …
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Natural Language Processing Methods to Automatically Parse Eligibility Criteria in Dietary Supplements Clinical Trials
… eligible patients who meet clinical trial eligibility criteria has been shown as a promising way to assess recruitment feasibility and accelerate the recruitment process. Natural Language Processing (NLP) techniques have been used extensively to extract concepts from the clinical trial …
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Inferring extra-linguistic attributes from text - Modeling Level of Need for Assistance and Expression of Volition with text mining
… deep-learning algorithms (i.e., BERT, BI-LSTM, GRU, and CNN). The classifiers for LONA and EOV are evaluated in two settings, which are specific and agnostic to the area of life, which was assigned by social care workers for each written report. In addition, a method is presented to …