Using simultaneous modeling of continuum lag-spectrum and broadband SED of Fairall 9 with the H0RIZON-AGN model, the authors obtain H0 = 72.4_{-3.7}^{+3.4} km s^{-1} Mpc^{-1}.
In: IEEE Conf
7 Pith papers cite this work. Polarity classification is still indexing.
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Vines-DB is a new annotated RGB image dataset of 1,218 original field photos from seven vine species, expanded to 2,307 images via augmentation, for multi-class instance segmentation.
GEAR-Seg decouples segmentation, semantic description, and LLM reasoning into an explicit chain for interpretable zero-shot reasoning segmentation while generating the GEAR-131K dataset.
Requiring thermal stability and single-valuedness in the thin-disk Ṁ-Σ plane produces a viscosity law α(X) with X = P_gas/P_rad that eliminates the radiation-pressure dominated instability while preserving the effective-temperature profile.
MoEIoU is a mixture-of-experts IoU loss using log-sum-exp aggregation and curriculum weighting that reports consistent gains over prior IoU losses on PASCAL VOC, HRIPCB, and MS COCO with YOLO models.
A Bayesian framework produces relevance attribution distributions for power quality disturbance classifiers so experts can select explanations by confidence percentiles.
Review summarizing radio searches for WIMP and ALP dark matter with SKA precursors and forecasts for SKA-Low and SKA-Mid telescopes.
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Vines-DB: An RGB image dataset for multi-species ornamental vine segmentation
Vines-DB is a new annotated RGB image dataset of 1,218 original field photos from seven vine species, expanded to 2,307 images via augmentation, for multi-class instance segmentation.