Advanced search
Showing result 1 - 5 of 282 essays matching the above criteria.
-
1. High levels of nickel from sulphide soil in Umeå's raw water : Modeling of groundwater flow and mass transport in Forslunda aquifer
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : The raw water in some of Umeå's abstraction wells has shown high nickel levels for more than a decade. The cause has not been determined but there is an investigation from 2010 where the results indicate sulphide clay found adjacent to two basins used for artificial infiltration. READ MORE
-
2. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE
-
3. Powering Sustainable Development with SMRs - A qualitative study examining the potential effects of Small Modular Reactor deployment in Southern Sweden
University essay from Göteborgs universitet/Graduate SchoolAbstract : Europe has been immensely impacted by the recent turmoil in the continent and an energy crisis has emerged. Energy prices have soared over a period of two years and the price of energy is still at elevated levels throughout Europe and a high dependency on fossil fuels for energy production has become inevitable. READ MORE
-
4. Analyzing the performance of active learning strategies on machine learning problems
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE
-
5. Active learning for text classification in cyber security
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE
