Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty
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EVFormer: An Egocentric Vision-EMG Bidirectional Attention Model for Bimanual Hand Pose Estimation
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User Misconceptions of LLM-Based Conversational Programming Assistants
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ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
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Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems
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WiSPER: Pose-Supervised Predictive and Residual Flow Refinement For Multi-Person 3D Pose Estimation With WiFi CSI
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FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices
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When better traffic forecasts fail to improve signal control: a layered diagnostic study of forecast-to-decision value
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Uncertainty in Representation Learning on Knowledge Graphs
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A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company
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Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density
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MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI
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