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 9 of 9 for “"Trend prediction"”.
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A temporal topic model for social trend prediction
… ``signals'' for scio-economic index prediction. The hypothesis is that crowd publicly available data in social media, in particular Twitter, may include predictive variables which can indicate the changes of socio-economic indexes. We developed content-based and user-centric …
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NLP driven large scale financial data analysis
… factors in my whole pipeline for NLP based stock trend prediction. In particular, I crawl and preprocess data online and made a new dataset, and compared with a Reuters news dataset. I compared the underlying word embeddings constructed based on different corpora and preprocessing techniques, …
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Tools and frameworks for data abstraction in a performance context
… two versions of our solution to the Twitter Trend Prediction problem: one in Julia and one in Spark. We have verified our solution is valid by comparing the Julia version with a previous result that is in Mr. Stanislav Nikolov's master thesis, named Trend or No Trend. We have also verified …
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A Computer Vision and Generative AI Framework for Trend Extraction and Brand-Aligned Fashion Design
… and ever-evolving clothing lines, with new trends constantly emerging. Social media drives these rapid changes through the instant dissemination of trends and its global reach. The fashion industry is highly competitive, putting pressure on mass-market retailers to outperform their …
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Evaluation of analytical and experimental methods to predict constrained layer damping behavior
… for damping estimation and resonant frequency prediction was performed between finite element analysis (FEA) Ross, Kerwin, and Ungar theory (RKU), developed moment predicted loss factor, and experimental results. Investigated design parameters include; treatment application length and …
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Automated Machine Learning for Predicting Trends in Time Series Data
… algorithm, TreNet was proposed for predicting trends in time series data. While TreNet was shown to have superior performance to a number of alternative approaches, the validation method used did not take into account the sequential nature of time series data. It also did not deal with model …
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Artificial intelligence-enabled transaction prediction.
… and cannot account for external factors like trends and promotions. Also, existing AI transactional predictive models suffer from historical data biases, interpretability concerns, and problems with human-crafted features. This research therefore proposes an AI machine learning transaction …
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An experimental investigation of the ISEC system of stock analysis
… System attempts to forecast changes in market trend and, also, it attempts to predict stock prices for periods ninety-days in length. Several other operating techniques and capabilities of the ISEC System of Stock Analysis are fully discussed in the thesis. An experimental investigation of …