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Machine-Learning-Assisted Intelligent Processing and Optimization of Complex Systems

Edited by
November 2023
292 pages
  • ISBN978-3-0365-9059-2 (Hardback)
  • ISBN978-3-0365-9058-5 (PDF)
https://doi.org/10.3390/books978-3-0365-9058-5
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This book is a reprint of the Special Issue Machine-Learning-Assisted Intelligent Processing and Optimization of Complex Systems that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Summary

This reprint contains 15 articles from the Special Issue of the MDPI journal Processes on "Machine Learning-Assisted Intelligent Processing and Optimization of Complex Systems". These articles focus on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling.Focusing on the abovementioned subjects, this reprint can be useful for researchers interested in intelligent optimization techniques and their applications in the fields of artificial intelligence and machine learning. We believe that this reprint will encourage the convergence between many communities.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Chilo suppressalis; meteorological data; time series analysis; DeepAR; deep learning; integrated pest management; text vectorization; topic model; pretrained model; transfer learning; drop impact; maximum spreading diameter; scaling laws; analytical models; machine learning; agribusiness; optimization of the production flow; cold storage management; endogenous fruits; peaches; lean tools; 5S; Kaizen; Value Stream Mapping; deep learning; inappropriately wearing facemask; machine learning; mask detection; UAV edge network; popularity prediction; cache strategy; artificial bee colony; turbulence; passive scalar; machine learning; convolutional neural network; estimating diffusion source distance; leaking gas detection; waste marble powder; flexural strength; support vector machines; Gaussian processes; ANFIS; cross-domain; MEC; resource allocation; IIOT; knowledge graph; knowledge structuring; entity extraction methods; asset administration shell; process industry entity relationship networks; Industry 5.0; human-centricity; human-centred; I5.0 technologies; artificial intelligence; robotics; cyber-physical systems; digitalization; acoustic signal; fault diagnosis; adaptive multi-threshold segmentation; subdomain adaptation; variable speed condition; local maximum mean discrepancy; weed detection; deep learning; weed classification; support decision-making algorithm; fruit detection; disease detection; CNN; performance metrics; agriculture; artificial intelligence; deep learning neural network; process control; hydraulic fracture; n/a