Deep Learning

Deep Learning Methods for Multi-Horizon Long-Term Forecasting of Harmful Algal Blooms
The increasing occurrence of Harmful Algal Blooms (HABs) in water systems poses significant challenges to ecological health, public …
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A Methodological Framework for Optimizing the Energy Consumption of Deep Neural Networks: A Case Study of a Cyber Threat Detector
The growing prevalence of deep neural networks (DNNs) across various fields raises concerns about their increasing energy consumption, …
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Using N-BEATS Ensembles to Predict Automated Guided Vehicle Deviation
A novel AGV (Automated Guided Vehicle) control architecture has recently been proposed where the AGV is controlled remotely by a …
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Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case
Recently, a novel approach in the field of Industry 4.0 factory operations was proposed for a new generation of automated guided …
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