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Found 6 papers, 1 papers with code
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
We present the Quantum Kernel-Based Long short-memory (QK-LSTM) network, which integrates quantum kernel methods into classical LSTM architectures to enhance predictive accuracy and computational efficiency in climate time-series forecasting tasks, such as Air Quality Index (AQI) prediction.
Quantum Computing for Climate Resilience and Sustainability Challenges
The escalating impacts of climate change and the increasing demand for sustainable development and natural resource management necessitate innovative technological solutions.
Classification of complex local environments in systems of particle shapes through shape-symmetry encoded data augmentation
Detecting and analyzing the local environment is crucial for investigating the dynamical processes of crystal nucleation and shape colloidal particle self-assembly.
Variable-Drift Diffusion Models of Pedestrian Road-Crossing Decisions
Human behavior and interaction in road traffic is highly complex, with many open scientific questions of high applied importance, not least in relation to recent development efforts toward automated vehicles.
Determining the effects of storage on cotton and soybean leaf samples for hyperspectral analysis
The strategy of collecting leaf samples in the field for laboratory analysis is typically used when ground truthing is needed in remote sensing studies.
Improved Sigma Filter for Speckle Filtering of SAR Imagery
This improved sigma filter remains simple in concept and is computationally efficient but without the deficiencies of the original Lee sigma filter.
