Automated variance modeling for three-dimensional point cloud data via Bayesian neural networks-Reference-Cited by-同舟云学术

Automated variance modeling for three-dimensional point cloud data via Bayesian neural networks

Published:2022-09-02 Issue: Volume: Page:1-14
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Geng Zhaohui¹,Sabbaghi Arman²,Bidanda Bopaya³

Affiliation:

1. Department of Manufacturing and Industrial Engineering, The University of Texas Rio Grande Valley, Edinburg, TX, USA

2. Department of Statistics, Purdue University, West Lafayette, IN, USA

3. Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA

Funder

U.S. Department of Defense Manufacturing Engineering Education Program

U.S. National Science Foundation

NSF/DHS/DOT/NASA/NIH Cyber-Physical Systems Program

Department of Biotechnology, Ministry of Science and Technology

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2106389

Reference55 articles.

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2. Development of an intelligent castability and cost estimation system

3. Reverse engineering: an evaluation of prospective non-contact technologies and applications in manufacturing systems

4. A genetic cluster algorithm for the machine-component grouping problem

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