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Deep Latent Factor Model for Spatio-Temporal Forecasting 用于时空预测的深度潜因模型
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322661
Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim
Latent factor models can perform spatio-temporal forecasting (i.e., predicting future responses at unmeasured as well as measured locations) by modeling temporal dependence using latent factors and...
潜因模型可以利用潜因和时间依赖性建模,进行时空预测(即预测未测量地点和测量地点的未来反应)。
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引用次数: 0
Image Comparison Based On Local Pixel Clustering 基于局部像素聚类的图像对比
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322670
Anik Roy, Partha Sarathi Mukherjee
Image comparison is a fundamental step for monitoring images and has wide applications in many disciplines of sciences, including satellite imaging, medical research, quality control and so forth. ...
图像对比是监控图像的基本步骤,在卫星成像、医学研究、质量控制等许多科学领域都有广泛应用。...
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引用次数: 0
An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles 利用无人感知飞行器进行实时异常检测的自适应采样策略
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322645
Yue Jiang, Ana María Estrada Gómez
Unmanned sensing vehicles (USVs) have been widely used for real-time anomaly detection in various applications, including environmental monitoring, precision agriculture, and military surveillance....
无人传感飞行器(USV)已被广泛用于各种应用领域的实时异常检测,包括环境监测、精准农业和军事监视....。
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引用次数: 0
Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems 偏微分方程边界值问题的网格聚类高斯过程模拟器
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-21 DOI: 10.1080/00401706.2024.2320211
Chih-Li Sung, Wenjia Wang, Liang Ding, Xingjian Wang
Partial differential equations (PDEs) have become an essential tool for modeling complex physical systems. Such equations are typically solved numerically via mesh-based methods, such as finite ele...
偏微分方程 (PDE) 已成为复杂物理系统建模的重要工具。这些方程通常通过基于网格的方法进行数值求解,如有限元法、有限差分法等。
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引用次数: 0
Screening the Discrepancy Function of a Computer Model 筛选计算机模型的差异函数
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-20 DOI: 10.1080/00401706.2024.2319138
Pierre Barbillon, Anabel Forte, Rui Paulo
Traditionally, screening refers to the problem of detecting influential (active) inputs in the computer model. We develop methodology that applies to screening, but the main focus is on detecting a...
传统上,筛选指的是在计算机模型中检测有影响(活跃)输入的问题。我们开发了适用于筛选的方法,但主要重点是检测...
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引用次数: 0
The Science of Hockey: The Math, Technology, and Data Behind the Sport 冰球科学运动背后的数学、技术和数据
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-09 DOI: 10.1080/00401706.2024.2307312
Zulfaidil, Utari Akhir Gusti, Waliyyatu Azzahra, Gantina Rachmaputri
Published in Technometrics (Vol. 66, No. 1, 2024)
发表于《技术计量学》(第 66 卷第 1 期,2024 年)
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引用次数: 0
Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed.Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99 (paperback), ISBN 9781032009100 随机对照试验统计方法手册》,第 1 版,KyungMann Kim、Frank Bretz、Ying Kuen K. Cheung、Lisa V. Hampson 编辑,纽约:查普曼与霍尔出版社,2023 年,654 页,47.99 英镑(平装本),ISBN 9781032009100
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-09 DOI: 10.1080/00401706.2024.2307310
Tri Astaria, Yoppy Wahyu Purnomo, Fery Muhamad Firdaus
Published in Technometrics (Vol. 66, No. 1, 2024)
发表于《技术计量学》(第 66 卷第 1 期,2024 年)
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引用次数: 0
Technometrics 2023 Associate Editors Technometrics 2023》副主编
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-09 DOI: 10.1080/00401706.2023.2296256
Published in Technometrics (Vol. 66, No. 1, 2024)
发表于《技术计量学》(第 66 卷第 1 期,2024 年)
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引用次数: 0
Ethics in Information Technology: A Practical Guide 信息技术伦理:实用指南
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-09 DOI: 10.1080/00401706.2024.2307305
Firdous Ahmad Mala, Shahid Abdullah Dar
Published in Technometrics (Vol. 66, No. 1, 2024)
发表于《技术计量学》(第 66 卷第 1 期,2024 年)
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引用次数: 0
Backseat Driver: The Role of Data in Great Car Safety Debates 后座司机数据在汽车安全大讨论中的作用
IF 2.5 3区 工程技术 Q1 Mathematics Pub Date : 2024-02-09 DOI: 10.1080/00401706.2024.2307303
Shuangzhe Liu
Published in Technometrics (Vol. 66, No. 1, 2024)
发表于《技术计量学》(第 66 卷第 1 期,2024 年)
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引用次数: 0
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Technometrics
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