面向资源受限场景，提出浏览器原生GPU架构实现去中心化MRI数字孪生直接体渲染，技术前沿且具备实操演示。
arXiv:2605.19737v1 Announce Type: cross Abstract: Digital Twin (DT) technology holds immense potential for surgical planning and personalized medicine…
轻量级CNN模型在边缘网络实现高效DDoS攻击检测，专为资源受限场景优化，兼顾速度与准确率
arXiv:2309.05646v2 Announce Type: replace-cross Abstract: Distributed Denial of Service (DDoS) attacks remain a persistent threat to the availability …
WWW 2026会议论文，专攻资源受限场景下的离线策略学习，理论与实验并重。
arXiv:2603.18702v4 Announce Type: replace Abstract: We study off-policy learning (OPL) in contextual bandits, which plays a key role in a wide range o…
二值对称循环矩阵新结构，为深度学习在资源受限平台的高效部署提供突破性方案
arXiv:2605.16443v1 Announce Type: new Abstract: Despite the success of deep neural networks in vision, medical diagnosis, and IoT scenarios, their dep…
细粒度图像识别中教师模型如何选？这篇研究为资源受限设备的知识蒸馏提供了新思路。
arXiv:2605.15689v1 Announce Type: new Abstract: Fine-grained image recognition classifies subcategories such as bird species or car models. While stat…