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 10 of 10 for “"MaSE"”.
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LLM-based MaSE - A Software Development Framework for Developing Multi-Agent System
… (MAS). By focusing on MAS and leveraging the MaSE methodology in conjunction with the JADE platform, our framework ensures the generation of accurate, traceable, and reliable software artefacts efficiently. The framework uses predefined prompts to guide the LLM through each step of the …
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Extending volatility models with market sentiment indicators
… to RMSE and for 16 stocks according to MAE and MASE. The daily nega- tive tweets specification outperforms the basic HAR for 17 and 19 stocks, respectively. And, the combination of daily negative tweets and daily search volume outpaces the basic HAR for 15 and 18 stocks, respectively. Based on …
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Utilizing Google Trends data for effective modeling of COVID-19 outcomes: a vector auto regression (VAR) approach
… MAPE (Mean Absolute Percentage Error), and MASE (Mean Absolute Scaled Error) were used to compare forecast accuracies. Also analyzed are Long-Covid search trends.
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FORECASTING INTERMITTENT DEMAND FOR AIRCRAFT SPARE PARTS USING MACHINE LEARNING
… learning models. Accuracy is assessed using MASE as the primary metric, complemented by error distributions.Results demonstrate that machine learning models, particularly XGBoost combined with engineered features, achieve significant gains over classical methods in forecasting accuracy. The …
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DIDATTICA DELLA FISICA NUCLEARE NELLA SCUOLA SECONDARIA DI SECONDO GRADO: PROGETTAZIONE, ESPERIENZE SUL CAMPO, CONTENUTI TRANSDISCIPLINARI E RECEPIMENTO NORMATIVO.
… Platform for Sustainable Nuclear Energy (MASE), providing material that was partly incorporated into the Italian government's enabling law “Sustainable Nuclear Energy” of 28 February 2025.
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Analysis of Machine Learning Algorithms for Time Series Prediction
… Error (RMSE) and the Mean Absolute Scaled Error (MASE). The second experiment focused on evaluating the stability and robustness of the optimal models identified in the first experiment. The key dataset characteristics identified; were the dataset size, stationarity, trend and seasonality. It was …
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A Comparative Study of Short-Term Electric Vehicle Load Forecasting Using Data-Driven Multivariate Probabilistic DeepAR Approach
… error (SMAPE) and mean absolute scaled error (MASE) are maintained at 1.9% and 4.95%, respectively, and outperform by a significant margin all other investigated deep learning and statistical models on the provided EV historical charging datasets. Eventually, the proposed framework can be …
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Forecasting international movements of Returnable Transport Items
… were based on three accuracy metrics: MAPE, MASE and MAD. Our research found that out of the 36 forecasting models, only seven models outperformed the baseline naive forecasting method. These seven forecasting models were further filtered by qualitative metrics such as ease of implementation …
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On the behavior of viscoelastic plates in bending
This investigation is concerned with the flexural response of linear viscoelastic plates of constant thickness. Fundamental equations for both quasi-static and dynamic response of such plates are developed and solved for important cases of each. The term quasi-static ls used to indicate that …
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Agent Oriented Software Engineering (AOSE) Approach to Game Development Methodology
… on a predictive approach after adaptation of MaSE methodology, and an adaptive approach using Agile methodology. To ensure proof of concept, AOAB game development methodology will be evaluated against industry principles, providing an industry case study to create a driving test game, which …