A Weak-Robust Modeling and Knowledge-Driven Solution Approach for Scheduling Margin Calculation of Hot Rolling Process [0.03%]
hot轧生产调度余量计算的弱稳健模型及知识驱动算法研究
Yangjie Wu,Tianyu Wang,Jun Zhao et al.
Yangjie Wu et al.
Uncertainty in the production process is the primary factor affecting the execution of hot rolling scheduling plans. Although robust optimization methods are commonly employed to address this challenge, existing approaches struggle to quant...
Dual-Domain Multipath Self-Supervised Diffusion Model for Accelerated MRI Reconstruction [0.03%]
基于双域多路径自监督扩散模型的加速MRI重建方法
Yuxuan Zhang,Jinkui Hao,Bo Zhou
Yuxuan Zhang
Magnetic resonance imaging (MRI) is a vital diagnostic tool, but its inherently long acquisition times reduce clinical efficiency and patient comfort. Recent advancements in deep learning, particularly diffusion models, have improved accele...
Generative Learning Imaging Framework for Millimeter Wave Synthetic Aperture Radar [0.03%]
毫米波合成孔径雷达生成式学习成像框架
Mou Wang,Yifei Hu,Hao Zhang et al.
Mou Wang et al.
Accurately reconstructing synthetic aperture radar (SAR) images from incomplete echo measurements is the fundamental problem in simplifying SAR systems and reducing sensing costs. In solving this problem, the recently emerged deep learning ...
Graph Rotation Network: Equivariant Graph Neural Network for Efficient Inverse Design in 4-D Printing [0.03%]
图旋转网络：用于4D打印有效逆向设计的等变图神经网络
Yue Wang,Mingjun Tang,Shen Gao et al.
Yue Wang et al.
Four-dimensional printed structures transform shape under external stimuli, and designing these structures to achieve desired deformation outcomes is crucial for 4-D printing technology. Current machine-learning (ML)-assisted methods can de...
Explainable Multihop Social Link Prediction Based on Temporal Logical Rules in Dynamic Social Networks [0.03%]
基于动态社会网络中时序逻辑规则的可解释多跳社交链接预测方法
Wei Jia,Ruizhe Ma,Li Yan et al.
Wei Jia et al.
The social link prediction poses a fundamental challenge in social network analysis, aiming to forecast missing interactions among users. Given the dynamic evolution mechanism of social networks, prevailing efforts have introduced embedding...
Mayank Shekhar Jha,Satya Marthi,Kyriakos G Vamvoudakis et al.
Mayank Shekhar Jha et al.
In this article, we present a novel off-policy, safe reinforcement learning (RL) approach for nonlinear dynamical systems under input saturation that guarantees safe initialization, safe exploration, as well as safe learning of optimal cont...
Corrections to "Learning From M-Tuple One-vs-All Confidence Comparison Data" [0.03%]
"M-Tuple one-vs-all置信度比较学习方法的研究改正"
Jiahe Qin,Junpeng Li,Changchun Hua et al.
Jiahe Qin et al.
IN THE above article [1], an incorrect abstract appeared alongside the article. The correct abstract is provided below.
Xiaoyu Lian,Shuyin Xia,Binbin Sang et al.
Xiaoyu Lian et al.
Fuzzy rough set (FRS) theory is effective for handling uncertainty and vagueness in complex datasets. However, most existing models rely on fine-grained pointwise analysis, resulting in poor robustness to noise. This article integrates gran...
Topology-Preserving Deep Hashing for Ultrafast Drone-Dominated Object Detection [0.03%]
拓扑保持的深度哈希方法实现极速无人机主导的目标检测
Luming Zhang,Guifeng Wang,Zhiming Wang et al.
Luming Zhang et al.
Drone (or unmanned aerial vehicle) has been extensively applied in many modern artificial intelligence systems in the past decade. In this work, we propose a novel deep hashing framework that can detect objects from drone-captured pictures ...
Deep Reinforcement Learning-Based Optimization of Identical-Dual-Band Filters [0.03%]
基于深度强化学习的 identical-dual-band 滤波器优化
Ehsan Adibnia
Ehsan Adibnia
Designing identical dual-band optical filters remains a complex optimization challenge in photonics and optical communication systems. Conventional methods, which rely on iterative electromagnetic simulations or analytical approximations, o...