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Found 5 papers, 1 papers with code
Quantum Machine Learning in Climate Change and Sustainability: a Review
Climate change and its impact on global sustainability are critical challenges, demanding innovative solutions that combine cutting-edge technologies and scientific insights.
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks
Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role in optimizing energy scheduling and enabling more flexible and intelligent power grid systems.
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors
These methods utilize the predictive model's performance degradation to signal substantial changes in the systems.
Using Deep Reinforcement Learning for Zero Defect Smart Forging
Defects during production may lead to material waste, which is a significant challenge for many companies as it reduces revenue and negatively impacts sustainability and the environment.
Aggregation-Based Gossip for Certificate Transparency
Certificate Transparency (CT) is a project that mandates public logging of TLS certificates issued by certificate authorities.
Cryptography and Security
