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Residential short-term load forecasting (STLF) is complex due to heterogeneity and temporal variability in household electricity consumption driven by.
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This paper addresses the challenge of reliable roadside perception of vulnerable road users (VRUs) like pedestrians, cyclists, scooterists, and wheelchair.
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This paper addresses the challenge of selecting suitable energy system optimization software among multiple available tools, each targeting different.
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This paper addresses the challenge of transferring reinforcement learning (RL) policies from a source domain (e.g., a simulator) to a target domain with.
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This paper addresses the challenge of converting unstructured vulnerability descriptions for Connected and Autonomous Vehicles (CAVs) into structured.
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This paper addresses the challenge of performing fast logical operations on multiple qubits simultaneously encoded in quantum LDPC codes, which offer high.
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This paper addresses the challenge of classifying which string produces a given pitch in monophonic electric guitar audio, a difficult problem due to.
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This paper introduces UAV-DualCog, a novel benchmark designed to evaluate the dual-cognition capabilities of multimodal large language models (MLLMs) in.
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The OpenCosmo project addresses the critical challenge in modern cosmology of accessing and analyzing extremely large-scale, complex simulation datasets.
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This paper tackles the well-known sample inefficiency and scalability bottlenecks of reinforcement learning (RL) when applied to high-dimensional, complex.
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This paper addresses the crucial open question of when fault-tolerant quantum dynamics simulation will surpass the best classical algorithms on realistic.
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This work addresses the challenge that ionizing radiation, including cosmic rays and natural radioactivity, poses to the coherence and reliability of.
