5 papers
Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting
Manal Rahal, Bestoun S. Ahmed, Roger Renström +1
With the rapid increase in residential heat pump (HP) installations, optimizing hot water production in households is essential, yet it faces major technical and scalability challe…
Prediction of Retention Time in Larger Antisense Oligonucleotide Datasets using Machine Learning
Manal Rahal, Bestoun S. Ahmed, Christoph A. Bauer +2
Antisense oligonucleotides (ASOs) are nucleic acid molecules with transformative therapeutic potential, especially for diseases that are untreatable by traditional drugs. However,…
Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
Manal Rahal, Bestoun S. Ahmed, Roger Renstrom +2
Heat pumps (HPs) have emerged as a cost-effective and clean technology for sustainable energy systems, but their efficiency in producing hot water remains restricted by conventiona…
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework
Manal Rahal, Bestoun S. Ahmed, Gergely Szabados +2
Poor data quality limits the advantageous power of Machine Learning (ML) and weakens high-performing ML software systems. Nowadays, data are more prone to the risk of poor quality…
Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework
Manal Rahal, Bestoun S. Ahmed, Jorgen Samuelsson
Creating resilient machine learning (ML) systems has become necessary to ensure production-ready ML systems that acquire user confidence seamlessly. The quality of the input data a…