OOD-SEG reframes multi-class segmentation from sparse positive-only annotations as pixel-wise positive-unlabelled learning solved by integrating out-of-distribution detection techniques, with a proposed cross-validation evaluation on surgical imaging datasets.
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A robust feedback control system is designed to regulate induced seismicity rates in the Groningen gas reservoir by modulating production rates under operational constraints.
MRPWI synchronizes POD modes via sign and rotation alignment to enable fast, accurate pointwise interpolation for parametric POD-Galerkin reduced-order models.
A partitioned fluid-structure interaction framework using level-set and embedded-boundary methods is applied to a thin steel chamber under 250 g TNT explosion, showing 30% volume expansion and that decoupling overestimates plastic strain by 43.75%.
Large reasoning models exhibit reasoning collapse, with accuracy dropping sharply beyond task-specific complexity thresholds in controlled versions of nine classical reasoning tasks using strict validity validators.
MoME with HTL outperforms single-modal and multimodal baselines on driver action recognition by enabling adaptive expert collaboration and token-based intra- and inter-expert refinement.
CoRaCMG augments LLM prompts with retrieved similar diff-message pairs to improve automatic generation of commit messages from code changes.
NARFIMA integrates ARFIMA long memory with neural networks and exogenous variables to forecast BRIC exchange rates, establishes asymptotic stationarity, uses conformal prediction for uncertainty, and outperforms benchmarks empirically.
YOLOv11s and RT-DETRv2-R50-M provide the best accuracy-speed trade-off for real-time weed detection on edge UAV systems, with mAP50 up to 79% and low latency.
A comparative evaluation of nine point-cloud leaf surface reconstruction methods on LAST-STRAW, Pheno4D, and Crops3D datasets reveals method-specific trade-offs in area accuracy, smoothness, robustness, and compute cost for agricultural robotics.
citing papers explorer
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OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations
OOD-SEG reframes multi-class segmentation from sparse positive-only annotations as pixel-wise positive-unlabelled learning solved by integrating out-of-distribution detection techniques, with a proposed cross-validation evaluation on surgical imaging datasets.
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A Control Framework for Induced Seismicity Mitigation in Groningen Gas Reservoir
A robust feedback control system is designed to regulate induced seismicity rates in the Groningen gas reservoir by modulating production rates under operational constraints.
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Mode-realigned pointwise interpolation (MRPWI) for efficient POD-Galerkin parametric reduced-order models
MRPWI synchronizes POD modes via sign and rotation alignment to enable fast, accurate pointwise interpolation for parametric POD-Galerkin reduced-order models.
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Fluid-structure coupled simulation framework for lightweight explosion containment structures under large deformations
A partitioned fluid-structure interaction framework using level-set and embedded-boundary methods is applied to a thin steel chamber under 250 g TNT explosion, showing 30% volume expansion and that decoupling overestimates plastic strain by 43.75%.
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Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints
Large reasoning models exhibit reasoning collapse, with accuracy dropping sharply beyond task-specific complexity thresholds in controlled versions of nine classical reasoning tasks using strict validity validators.
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Mixture-of-Modality-Experts with Holistic Token Learning for Fine-Grained Multimodal Visual Analytics in Driver Action Recognition
MoME with HTL outperforms single-modal and multimodal baselines on driver action recognition by enabling adaptive expert collaboration and token-based intra- and inter-expert refinement.
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CoRaCMG: Contextual Retrieval-Augmented Framework for Commit Message Generation
CoRaCMG augments LLM prompts with retrieved similar diff-message pairs to improve automatic generation of commit messages from code changes.
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Neural ARFIMA model for forecasting BRIC exchange rates with long memory
NARFIMA integrates ARFIMA long memory with neural networks and exogenous variables to forecast BRIC exchange rates, establishes asymptotic stationarity, uses conformal prediction for uncertainty, and outperforms benchmarks empirically.
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Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices
YOLOv11s and RT-DETRv2-R50-M provide the best accuracy-speed trade-off for real-time weed detection on edge UAV systems, with mAP50 up to 79% and low latency.
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Review and Evaluation of Point-Cloud based Leaf Surface Reconstruction Methods for Agricultural Applications
A comparative evaluation of nine point-cloud leaf surface reconstruction methods on LAST-STRAW, Pheno4D, and Crops3D datasets reveals method-specific trade-offs in area accuracy, smoothness, robustness, and compute cost for agricultural robotics.