Essays about: "performance prediction"
Showing result 16 - 20 of 936 essays containing the words performance prediction.
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16. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE
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17. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE
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18. 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
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19. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE
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20. Second Life Applications for Degraded EV Batteries : Evaluating Benefits Basedon Remaining Useful Life and Battery Configurations
University essay from Linköpings universitet/FordonssystemAbstract : This thesis explores the potential of second-life electric vehicle batteries, which are no longer suitable for electro-mobility, to provide energy storage solutions. The study iden- tifies two potential applications for second-life batteries: charging stations and residential PV energy storage systems. READ MORE