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最近の投稿
- FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization
- Time-Optimized Safe Navigation in Unstructured Environments through Learning Based Depth Completion
- Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors
- Mass-Adaptive Admittance Control for Robotic Manipulators
- DreamGen: Unlocking Generalization in Robot Learning through Video World Models
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最近のコメント
表示できるコメントはありません。 cs.AI (39879) cs.CL (30187) cs.CV (45175) cs.HC (3051) cs.LG (44808) cs.RO (23879) cs.SY (3632) eess.IV (5170) eess.SY (3624) stat.ML (5830)
「cond-mat.mtrl-sci」カテゴリーアーカイブ
Advanced Characterization-Informed Framework and Quantitative Insight to Irradiated Annular U-10Zr Metallic Fuels
要約 U-10Zr ベースの金属核燃料は、次世代のナトリウム冷却高速炉の有望な燃 … 続きを読む
カテゴリー: cond-mat.mtrl-sci, cs.CV
Advanced Characterization-Informed Framework and Quantitative Insight to Irradiated Annular U-10Zr Metallic Fuels はコメントを受け付けていません
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images
要約 材料科学の分野では、顕微鏡は構造特性評価のための最初の、そして多くの場合唯 … 続きを読む
カテゴリー: cond-mat.mtrl-sci, cond-mat.soft, cs.CV, cs.LG, eess.IV
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images はコメントを受け付けていません
STEM image analysis based on deep learning: identification of vacancy defects and polymorphs of ${MoS_2}$
要約 走査型透過電子顕微鏡(STEM)は、様々な材料の原子分解能の構造解析に不可 … 続きを読む
カテゴリー: cond-mat.mes-hall, cond-mat.mtrl-sci, cs.CV
STEM image analysis based on deep learning: identification of vacancy defects and polymorphs of ${MoS_2}$ はコメントを受け付けていません