5 papers
EES-CND: Collaborative Neural Decision-Making for Drift-Aware Fault-Tolerant Edge-Cloud Service Placement
Mohammadsadeq Garshasbi Herabad, Javid Taheri, Bestoun S. Ahmed +1
The edge-cloud paradigm improves service delivery by orchestrating resources across edge nodes and cloud data centres. These environments consist of heterogeneous, interconnected c…
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…