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Emerging Technologies

Authors and titles for recent submissions

  • Mon, 29 Sep 2025
  • Fri, 26 Sep 2025
  • Thu, 25 Sep 2025
  • Wed, 24 Sep 2025
  • Tue, 23 Sep 2025

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Total of 47 entries
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Tue, 23 Sep 2025 (continued, showing last 5 of 20 entries )

[43] arXiv:2509.17283 (cross-list from cs.CV) [cn-pdf, pdf, html, other]
Title: Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models
Title: 基于门检测和大语言模型的建筑合规检查自动化设施枚举
Licheng Zhang, Bach Le, Naveed Akhtar, Tuan Ngo
Comments: Author name correction in the second version (same content as the first version)
Subjects: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI) ; Emerging Technologies (cs.ET)
[44] arXiv:2509.17238 (cross-list from cs.AI) [cn-pdf, pdf, html, other]
Title: MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
Title: MoEs 比你想象的更强:通过 RoE 的超并行推理扩展
Soheil Zibakhsh, Mohammad Samragh, Kumari Nishu, Lauren Hannah, Arnav Kundu, Minsik Cho
Subjects: Artificial Intelligence (cs.AI) ; Computation and Language (cs.CL) ; Emerging Technologies (cs.ET) ; Machine Learning (cs.LG)
[45] arXiv:2509.16557 (cross-list from cs.CV) [cn-pdf, pdf, html, other]
Title: Person Identification from Egocentric Human-Object Interactions using 3D Hand Pose
Title: 从第一视角人-物体交互中的人体识别使用3D手部姿态
Muhammad Hamza, Danish Hamid, Muhammad Tahir Akram
Comments: 21 pages, 8 figures, 7 tables. Preprint of a manuscript submitted to CCF Transactions on Pervasive Computing and Interaction (Springer), currently under review
Subjects: Computer Vision and Pattern Recognition (cs.CV) ; Emerging Technologies (cs.ET) ; Human-Computer Interaction (cs.HC) ; Machine Learning (cs.LG)
[46] arXiv:2509.16512 (cross-list from physics.app-ph) [cn-pdf, pdf, html, other]
Title: Atomic-Scale Insights into the Switching Mechanisms of RRAM Devices
Title: 原子尺度下对RRAM器件切换机制的洞察
Md Tawsif Rahman Chowdhury, Alireza Moazzeni, Gozde Tutuncuoglu
Comments: \c{opyright} 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Subjects: Applied Physics (physics.app-ph) ; Materials Science (cond-mat.mtrl-sci) ; Emerging Technologies (cs.ET)
[47] arXiv:2509.16242 (cross-list from quant-ph) [cn-pdf, pdf, other]
Title: Machine Learning for Quantum Noise Reduction
Title: 机器学习用于量子噪声减少
Karan Kendre
Comments: Code and data available at: https://github.com/KaranKendre11/MLforQuantumNoiseReduction/
Subjects: Quantum Physics (quant-ph) ; Emerging Technologies (cs.ET) ; Machine Learning (cs.LG)
Total of 47 entries
Showing up to 50 entries per page: fewer | more | all
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