Robots use Bayesian methods to gather data safely in unpredictable environments.
― 7 min read
Cutting edge science explained simply
Robots use Bayesian methods to gather data safely in unpredictable environments.
― 7 min read
Latest Articles
Latest Articles
Explore the dynamics and significance of oscillatory networks in various fields.
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A new method enhances vibration signal analysis for machine health monitoring.
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Exploring Moving Target Defense strategies to combat advanced cyber threats and uncertainties.
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This research investigates TST models for predicting battery performance in electric vehicles.
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Kiiking combines strength and technique for daring vertical swings.
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This study enhances the coordination of CAVs in fluctuating traffic conditions.
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Finding ways for radar and communication systems to coexist effectively.
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New modeling tool improves analysis of inverter-based power systems.
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Learn about estimating transmission interface limits for efficient power flow.
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Air taxis and eVTOLs could reshape urban travel by reducing congestion.
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GF-RLS offers improved adaptability and stability in parameter estimation methods.
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Exploring the Generalized Power Iteration algorithm for network connectivity.
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Algebraic differentiators excel in estimating signal changes across various fields.
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This study examines sample complexity in learning DDAGs and their connections over time.
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Learn about P2P energy trading and its benefits for consumers and the environment.
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Exploring innovative approaches to enhance robotic pathfinding in complex environments.
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Examining travel time estimation in Mobility-on-Demand systems and its impact.
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A new algorithm improves vehicle distribution for on-demand ride-pooling services.
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Innovative approach to secure communications in resource-limited IoT devices.
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Improving the design of wave energy converters can enhance power generation from ocean waves.
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New methods offer better accuracy in solving parametric eigenvalue problems across various fields.
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Offshore microgrids enhance energy supply and fresh water access on islands.
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A new approach to improve autoscaling for serverless functions using reinforcement learning.
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Examining the limitations of state-space algorithms in understanding system interactions.
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A new approach to manage cloud resources effectively and quickly.
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This article discusses the use of machine learning in traffic management.
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Power systems must adapt to extreme weather for stable electricity supply.
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A new approach uses Reinforcement Learning to tackle cold start challenges in serverless computing.
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Balancing accuracy and efficiency in modeling dynamic systems for wind energy.
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A look at how factors influence one another over time.
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Exploring nonlinear methods in audio for music production and speech analysis.
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A new method improves safety and adaptability for self-driving cars in changing environments.
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A method to balance hydrogen supply and demand for effective vehicle adoption.
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Discover how agent cooperation enhances resource allocation and system performance.
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Robots learn human goals through active inverse learning for safer interactions.
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Exploring how robot swarms navigate obstacles in unpredictable environments.
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New techniques improve power flow learning for efficient electricity delivery.
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A new framework for assessing the stability of differential-algebraic systems under uncertainty.
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Exploring how transformers adapt to predict outputs in unknown systems.
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This research enhances methods for identifying parameters in ordinary differential equation models.
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