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Robust Radiotherapy Planning with Spatially Based Uncertainty Sets 基于空间不确定性集的稳健放疗计划
IF 2.6 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-06-05 DOI: 10.1080/24725854.2024.2363316
Noam Goldberg, Mark Langer, Shimrit Shtern
Radiotherapy treatment planning is a challenging large-scale optimization problem plagued by uncertainty. Following the robust optimization methodology, we propose a novel, spatially based uncertai...
放疗治疗计划是一个充满不确定性的大规模优化问题。按照稳健优化方法,我们提出了一种新颖的、基于空间的非确定性放疗计划。
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引用次数: 0
Data-driven Contract Design for Supply Chain Coordination with Algorithm Sharing and Algorithm Competition 数据驱动的供应链协调合同设计与算法共享和算法竞争
IF 2.6 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-05-30 DOI: 10.1080/24725854.2024.2361460
Zhen-Yu Chen, Minghe Sun
Supply chain members can intelligently learn their decisions based on historical data by using machine-learning (ML) algorithms. To coordinate the supply chain, the data-driven contract design prob...
通过使用机器学习(ML)算法,供应链成员可以根据历史数据智能地学习其决策。为了协调供应链,数据驱动的合同设计问题是一个重要的挑战。
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引用次数: 0
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals 基于联合数据融合的多流不完整信号应用预测模型
IF 2.6 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-05-29 DOI: 10.1080/24725854.2024.2360619
Madi Arabi, Xiaolei Fang
Most prognostic methods require a decent amount of data for model training. In reality, however, the amount of historical data owned by a single organization might be small or not large enough to t...
大多数预测方法都需要相当数量的数据来训练模型。然而,在现实中,单个机构拥有的历史数据量可能很小,或者不够大,不足以训练模型。
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引用次数: 0
Efficient Estimation and Selection for Regularized Dynamic Logistic Regression 正规化动态逻辑回归的高效估计和选择
IF 2.6 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2024-05-29 DOI: 10.1080/24725854.2024.2359991
Sumin Shen, Zhiyang Zhang, Ran Jin, Xinwei Deng
In various data science applications, the relationship between predictor variables and the response is dynamic in the sense that the corresponding model parameters are varying coefficients. Estimat...
在各种数据科学应用中,预测变量与响应之间的关系是动态的,即相应的模型参数是变化的系数。估计...
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引用次数: 0
Service-level computation in time-varying queueing system with priorities: Application to physician staffing in the emergency department 具有优先级的时变排队系统中的服务水平计算:急诊科医生配置的应用
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-05-20 DOI: 10.1080/24725854.2024.2357782
Ran Liu, Huiyin Ouyang, Chengkai Wang, Xiaolan Xie
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引用次数: 0
Impact of Sharing Imprecise Information on Fixed-Bin Selective Assembly 共享不精确信息对固定箱体选择性装配的影响
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-05-09 DOI: 10.1080/24725854.2024.2352575
T. Clottey, WC Benton
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引用次数: 0
Online Nonparametric Process Monitoring for IoT Systems Using Edge Computing 利用边缘计算对物联网系统进行在线非参数过程监控
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-05-07 DOI: 10.1080/24725854.2024.2352578
Ziqian Zheng, Jiahui Zhang, Lingyun Xiao, Warren R. Williams, Jing-Ru C. Cheng, Kaibo Liu
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引用次数: 0
A Nonlinear Quantile Regression for Accelerated Destructive Degradation Testing Data 加速破坏性降解测试数据的非线性量值回归
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-05-03 DOI: 10.1080/24725854.2024.2351905
Suk Joo Bae, Munwon Lim
Traditional regression approaches to accelerated destructive degradation test (ADDT) data have modeled the mean curve as representative. However, maximum likelihood estimates (MLEs) of the mean mod...
加速破坏性降解试验 (ADDT) 数据的传统回归方法将平均曲线建模为代表性曲线。然而,平均值模式的最大似然估计值 (MLEs) 并不可靠。
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引用次数: 0
Minimum-Cost Ordering for Selective Assembly 选择性装配的最低成本订购
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-04-26 DOI: 10.1080/24725854.2024.2347918
Thomas A. Weber
We consider the minimization of input cost for a selective assembly system which features two random inputs and a finite number of matching classes. This setup frequently arises in high-precision m...
我们考虑的是选择性装配系统的输入成本最小化问题,该系统具有两个随机输入和有限数量的匹配类别。这种设置经常出现在高精度装配系统中。
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引用次数: 0
Contributions to AI and Machine Learning for Manufacturing 人工智能和机器学习对制造业的贡献
IF 2.6 3区 工程技术 Q1 Engineering Pub Date : 2024-04-17 DOI: 10.1080/24725854.2024.2344204
Qiang Huang, Zhenyu James Kong, Bianca Maria Colosimo, Lihui Wang, Li Zeng
Published in IISE Transactions (Just accepted, 2024)
发表于 IISE Transactions(刚被接受,2024 年)
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引用次数: 0
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