2025-12-05-11_articles_updated
Published:
期刊: cs.LG updates on arXiv.org
标题: 基于物理信息的机器学习在钢铁开发中的应用：一个计算框架和CCT图建模
英文标题: Physics-Informed Machine Learning for Steel Development: A Computational Framework and CCT Diagram Modelling
链接: https://arxiv.org/abs/2512.03050
期刊: cs.LG updates on arXiv.org
标题: 对比深度学习在污水基因组测序中的变异检测
英文标题: Contrastive Deep Learning for Variant Detection in Wastewater Genomic Sequencing
链接: https://arxiv.org/abs/2512.03158
期刊: cs.LG updates on arXiv.org
标题: 特征感知调制：从时间表格数据中学习
英文标题: Feature-aware Modulation for Learning from Temporal Tabular Data
链接: https://arxiv.org/abs/2512.03678
期刊: cs.LG updates on arXiv.org
标题: 利用iPhone数字痕迹进行法医活动分类：一种基于机器学习的方法
英文标题: Forensic Activity Classification Using Digital Traces from iPhones: A Machine Learning-based Approach
链接: https://arxiv.org/abs/2512.03786
期刊: cs.LG updates on arXiv.org
标题: PyroFocus：一种用于多光谱遥感图像实时野火检测的深度学习方法
英文标题: PyroFocus: A Deep Learning Approach to Real-Time Wildfire Detection in Multispectral Remote Sensing Imagery
链接: https://arxiv.org/abs/2512.03257
期刊: cs.LG updates on arXiv.org
标题: 混合深度学习和异常检测框架用于实时恶意URL分类
英文标题: A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
链接: https://arxiv.org/abs/2512.03462
期刊: cs.LG updates on arXiv.org
标题: 机器学习在TSCH无线传感器网络中预测槽位使用情况
英文标题: Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks
链接: https://arxiv.org/abs/2512.03570
期刊: cs.LG updates on arXiv.org
标题: 通过相变热力学理论精炼机器学习势函数
英文标题: Refining Machine Learning Potentials through Thermodynamic Theory of Phase Transitions
链接: https://arxiv.org/abs/2512.03974
期刊: cs.LG updates on arXiv.org
标题: 化学药物设计中的测试时训练缩放定律
英文标题: Test-Time Training Scaling Laws for Chemical Exploration in Drug Design
链接: https://arxiv.org/abs/2501.19153
期刊: cs.LG updates on arXiv.org
标题: 利用物理信息机器学习和浸没边界方法学习流体-结构相互作用
英文标题: Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
链接: https://arxiv.org/abs/2505.18565
期刊: cs.LG updates on arXiv.org
标题: 使用深度学习模型提高Wi-Fi网络性能预测
英文标题: Improving Wi-Fi Network Performance Prediction with Deep Learning Models
链接: https://arxiv.org/abs/2507.11168