| 书目名称 | Multimodal and Tensor Data Analytics for Industrial Systems Improvement |
| 编辑 | Nathan Gaw,Panos M. Pardalos,Mostafa Reisi Gahrooe |
| 视频video | |
| 概述 | Demonstrates practical applications focusing on manufacturing, healthcare, agriculture, and other applications.Discussion of pros and cons for each methodology, providing a pathway for future research |
| 丛书名称 | Springer Optimization and Its Applications |
| 图书封面 |  |
| 描述 | This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare..Advancements in sensing technol |
| 出版日期 | Book 2024 |
| 关键词 | multimodal data; multivariate statistics; tensor data analytics; Bayesian multimodal; spatio-temporal da |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-53092-0 |
| isbn_softcover | 978-3-031-53094-4 |
| isbn_ebook | 978-3-031-53092-0Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:41:59
