Multimodal and Tensor Data Analytics for Industrial Systems Improvement
Editor
- Nathan Gaw(Air Force Institute of Technology)Panos M. Pardalos(University of Florida)Mostafa Reisi Gahrooei(University of Florida)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Nathan Gaw & Panos M. Pardalos & Mostafa Reisi Gahrooei (ed.), 2024. "Multimodal and Tensor Data Analytics for Industrial Systems Improvement," Springer Optimization and Its Applications, Springer, number 978-3-031-53092-0, June.
Handle: RePEc:spr:spopap:978-3-031-53092-0
DOI: 10.1007/978-3-031-53092-0
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Book Chapters
The following chapters of this book are listed in IDEAS- Nathan Gaw & Mostafa Reisi Gahrooei & Panos M. Pardalos, 2024. "Introduction to Multimodal and Tensor Data Analytics," Springer Optimization and Its Applications,, Springer.
- Minhee Kim, 2024. "Functional Methods for Multimodal Data Analysis," Springer Optimization and Its Applications,, Springer.
- Peiyao Liu & Chen Zhang, 2024. "Advanced Data Analytical Techniques for Profile Monitoring," Springer Optimization and Its Applications,, Springer.
- Christian Capezza & Fabio Centofanti & Antonio Lepore & Alessandra Menafoglio & Biagio Palumbo & Simone Vantini, 2024. "Statistical Process Monitoring Methods Based on Functional Data Analysis," Springer Optimization and Its Applications,, Springer.
- Jing Zeng & Xin Zhang, 2024. "Tensor and Multimodal Data Analysis," Springer Optimization and Its Applications,, Springer.
- Bo Shen, 2024. "Tensor Data Analytics in Advanced Manufacturing Processes," Springer Optimization and Its Applications,, Springer.
- Imtiaz Ahmed & Ahmed Shoyeb Raihan, 2024. "Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges," Springer Optimization and Its Applications,, Springer.
- Feng Ye & Travis Miles & Ahmed Aziz Ezzat, 2024. "Offshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs," Springer Optimization and Its Applications,, Springer.
- Hao Yan & Ziyue Li & Xinyu Zhao & Jiuyun Hu, 2024. "Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection," Springer Optimization and Its Applications,, Springer.
- Amirreza Shaban & Safoora Yousefi, 2024. "Multimodal Deep Learning," Springer Optimization and Its Applications,, Springer.
- Yinan Wang & Xiaowei Yue, 2024. "Multimodal Deep Learning for Manufacturing Systems: Recent Progress and Future Trends," Springer Optimization and Its Applications,, Springer.
- Jianjun Shi & Michael Biehler & Shancong Mou, 2024. "Synergy of Engineering and Statistics: Multimodal Data Fusion for Quality Improvement," Springer Optimization and Its Applications,, Springer.
- Andi Wang, 2024. "Manufacturing Data Fusion: A Case Study with Steel Rolling Processes," Springer Optimization and Its Applications,, Springer.
- Linus Kohl & Theresa Madreiter & Fazel Ansari, 2024. "AI-Enhanced Fault Detection Using Multi-Structured Data in Semiconductor Manufacturing," Springer Optimization and Its Applications,, Springer.
- Gregory Barry & Elif Konyar & Brandon Harvill & Chancellor Johnstone, 2024. "A Survey of Advances in Multimodal Federated Learning with Applications," Springer Optimization and Its Applications,, Springer.
- Marco Luigi Giuseppe Grasso & Panagiotis Tsiamyrtzis, 2024. "Bayesian Multimodal Data Analytics: AnIntroduction," Springer Optimization and Its Applications,, Springer.
- Katherina A. Jurewicz & David M. Neyens, 2024. "Bayesian Approach to Multimodal Data in Human Factors Engineering," Springer Optimization and Its Applications,, Springer.
- Arda Vanli, 2024. "Bayesian Multimodal Models for Risk Analyses of Low-Probability High-Consequence Events," Springer Optimization and Its Applications,, Springer.
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