Mathematical Problems in Engineering

Data Intelligence-enabled Industry Applications


Publishing date
01 Dec 2022
Status
Published
Submission deadline
05 Aug 2022

Lead Editor

1University of Science and Technology Beijing, Beijng, China

2National Taipei University of Technology, Taipei, Taiwan

3University of Macau, Macau, Macau


Data Intelligence-enabled Industry Applications

Description

Advances in sensor and data storage technologies have enabled the cumulation of a large amount of data from industrial systems. Both structural and nonstructural data of industrial systems are collected, which covers data formats of time-series, text, images, sound, etc.

Since data can systematically describe the status of industrial systems, their utilization has been attending growing interest from the industry and data intelligence methods are highly desired. Meanwhile, the theoretical development in related disciplines, such as machine learning, computer vision, evolutionary computation, and signal processing, has provided effective ways of analyzing and utilizing the collected data. The recent success of applying data-driven methods in different domains, including intelligent manufacturing, energy, internet, and smart healthcare, has proved the potential of employing data intelligence algorithms for solving real problems in various industrial fields.

This Special Issue aims to provide a forum for researchers to present the latest research on the applications of data intelligence algorithms in industrial systems, especially considering data fusion approaches of integrating different data sources and fusing structural and nonstructural information. We welcome original research and review articles.

Potential topics include but are not limited to the following:

  • Detection, tracking, location, and classification under industrial environment
  • Machine learning and deep learning for intelligent manufacturing
  • Metaheuristic algorithms for facility layout optimization
  • Multi-source data fusion for industrial systems
  • Smart data analytics in industrial product design
  • Mobile computing and sensing for industrial systems

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 2919259
  • - Research Article

Exploring the Clinical Benefits of Mixed-Reality Technology for Breast Lumpectomy

Yongfeng Zhang | Yuanyuan Lu | ... | Ruoxiu Xiao
  • Special Issue
  • - Volume 2022
  • - Article ID 2402989
  • - Research Article

Sensitivity Analysis of Stationarity Tests’ Outcome to Time Series Facets and Test Parameters

Advait Amol Bawdekar | B. Rajanarayan Prusty | Kishore Bingi
  • Special Issue
  • - Volume 2022
  • - Article ID 6583809
  • - Research Article

The Impact of Digital Economy on Industrial Carbon Emission Efficiency: Evidence from Chinese Provincial Data

Ning-Yu Xie | Yang Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 1440323
  • - Research Article

Transformer-Based Data-Driven Video Coding Acceleration for Industrial Applications

Yixiao Li | Lixiang Li | ... | Nam Ling
  • Special Issue
  • - Volume 2022
  • - Article ID 7754356
  • - Research Article

Insulation Resistance Measurement of Airport Navigational Lighting System Based on Deep Learning and Transfer Learning

Z. B. Liu | Q. Wang | ... | J. Y. Fei
  • Special Issue
  • - Volume 2022
  • - Article ID 3986247
  • - Research Article

Optimization of Skipping Rope Training Method Based on Chaotic Logistics

Han Li | Yuxia Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 1852447
  • - Research Article

Classification of FinTech Patents by Machine Learning and Deep Learning Reveals Trends of FinTech Development in China

Hao Wang | Xizhuo Chen | ... | Kin Keung Lai
  • Special Issue
  • - Volume 2022
  • - Article ID 2674425
  • - Research Article

A Cross-View Gait Recognition Method Using Two-Way Similarity Learning

Y. J. Qi | Y. P. Kong | Q. Zhang
Mathematical Problems in Engineering
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Acceptance rate12%
Submission to final decision157 days
Acceptance to publication34 days
CiteScore2.600
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