A new framework aims to optimize EAV operations in urban areas.
― 5 min read
Cutting edge science explained simply
A new framework aims to optimize EAV operations in urban areas.
― 5 min read
Latest Articles
Latest Articles
A flexible model improving fault diagnosis in electrical motors across various conditions.
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A framework to boost performance in continuous-time reinforcement learning systems.
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Researchers develop predictive models for hydraulic pressure to enhance crane efficiency.
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Research showcases a new method for controlling hopping robots through reinforcement learning.
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Researchers explore innovative techniques for predicting protein structures and dynamics.
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New frameworks improve drone performance using learning and adaptive control methods.
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A new approach enhances AAV maneuvers in tight orchard spaces.
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New methods improve accuracy in locating signal sources across various fields.
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Introducing a flying robot that combines drone agility with blimp endurance.
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Enhancing GFM IBRs stability with novel control strategies for renewable energy integration.
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A new technique improves real-time control of energy systems using reinforcement learning.
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A look at how federated learning and model pruning enhance wireless network performance.
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Robots use Bayesian methods to gather data safely in unpredictable environments.
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This article examines how deep learning can enhance fairness in electricity pricing.
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Discover the mechanics and applications of Echo State Networks for time series data.
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A method for spacecraft inspection utilizing a free-flying device and neural network.
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Introducing a novel approach to manage wireless network task scheduling effectively.
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Learn how robots enhance mapping accuracy by filtering out misleading data.
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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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