Abstract: Accurate classification and recognition of hyperspectral images (HSIs) represent a crucial task in remote sensing image processing. The transformer has emerged as a dominant method for HSI ...
SAN FRANCISCO, March 02, 2026 (GLOBE NEWSWIRE) — Meltwater, a global leader in media, social, and consumer intelligence, today announced Doug Balut, Senior Vice President of Global Alliances and ...
Data wrangling is a difficult and time-consuming activity in computational notebooks, and existing wrangling tools do not fit the exploratory workflow for data scientists in these environments. We ...
Abstract: Introductory programming modules are challenging for both the lecturers and students. In previous works, the authors have introduced educational innovations to mitigate these challenges and ...
With the widespread application of energy storage stations, BMS has become an important subsystem in modern power systems, leading to an increasing demand for improving the accuracy of SOC prediction ...
fairseq-train --user-dir ../../graphormer --num-workers 16 --ddp-backend=legacy_ddp --dataset-name zinc --dataset-source pyg --task graph_prediction --criterion l1 ...
Recent advances in image data proccesing through deep learning allow for new optimization and performance-enhancement schemes for radiation detectors and imaging hardware. This enables radiation ...
TL;DR: Mobile-Seed is an online framework for simultaneous semantic segmentation and boundary detection on compact robots. Abstract: Precise and rapid delineation of sharp boundaries and robust ...
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