Computational and Mathematical Methods in Information Science and Engineering
Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accep...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| 主題: | |
| 在線閱讀: | ONIX_20230911_9783036584706_65 |
| 標簽: |
沒有標簽, 成為第一個標記此記錄!
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| _version_ | 1869524752069033984 |
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| collection | Directory of Open Access Books |
| description | Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled “Computational and Mathematical Methods in Information Science and Engineering”. The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications. |
| format | Online |
| id | doab-20.500.12854ir-113932 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1139322024-03-28T03:32:23Z Computational and Mathematical Methods in Information Science and Engineering Zhang, Wen Xu, Xiaofeng Wu, Jun He, Kaijian multi-scale local interaction lightweight image reconstruction network global fusion green supply chain environmental awareness information acquisition outsourcing in-house career choice prediction machine learning college students non-cooperative equilibrium complex supply chain network environmental policies circular economy structural balance feedback mechanism opinions polarization reservoir characterization productivity prediction knowledge interaction neural network embedded model egg shape equation displacement of volume method egg volume classical retrial policy queue dependent service rate waiting time analysis infinite orbit private set intersection quantum authentication oblivious quantum key distribution Internet of Things multi-objective optimization mining plan metal mines adaptive hybrid mutation multi-facility location problem clustering algorithm center-of-gravity method hybrid multi-attribute three-way group decision making VIKOR model grey correlation analysis interval-valued intuitionistic fuzzy numbers tourist arrival forecast variational mode decomposition empirical mode decomposition multiscale analysis deep learning model convolutional neural network model seasonal ARIMA ARIMA sales forecasting demand pattern dynamic weighting model selection retail malicious network traffic GAN imbalanced classification partial discharge (PD) phase-resolved PD (PRPD) rotating machine stator coil buffer wards mixed-integer programming dynamic bed allocation patient admission control COVID-19 pandemic regression data stream non-convex loss function noise-resilient online-learning ARL control charts COVID-19 data deviance residuals link functions logistic profiling Pearson residuals conditional autoregressive model Markov chain Monte Carlo occurrence rate spatial Poisson model n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled “Computational and Mathematical Methods in Information Science and Engineering”. The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications. 2023-09-11T12:04:03Z 2023-09-11T12:04:03Z 2023 book ONIX_20230911_9783036584706_65 9783036584706 9783036584713 https://directory.doabooks.org/handle/20.500.12854/113932 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7775 https://mdpi.com/books/pdfview/book/7775 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8471-3 10.3390/books978-3-0365-8471-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036584706 9783036584713 402 open access |
| spellingShingle | multi-scale local interaction lightweight image reconstruction network global fusion green supply chain environmental awareness information acquisition outsourcing in-house career choice prediction machine learning college students non-cooperative equilibrium complex supply chain network environmental policies circular economy structural balance feedback mechanism opinions polarization reservoir characterization productivity prediction knowledge interaction neural network embedded model egg shape equation displacement of volume method egg volume classical retrial policy queue dependent service rate waiting time analysis infinite orbit private set intersection quantum authentication oblivious quantum key distribution Internet of Things multi-objective optimization mining plan metal mines adaptive hybrid mutation multi-facility location problem clustering algorithm center-of-gravity method hybrid multi-attribute three-way group decision making VIKOR model grey correlation analysis interval-valued intuitionistic fuzzy numbers tourist arrival forecast variational mode decomposition empirical mode decomposition multiscale analysis deep learning model convolutional neural network model seasonal ARIMA ARIMA sales forecasting demand pattern dynamic weighting model selection retail malicious network traffic GAN imbalanced classification partial discharge (PD) phase-resolved PD (PRPD) rotating machine stator coil buffer wards mixed-integer programming dynamic bed allocation patient admission control COVID-19 pandemic regression data stream non-convex loss function noise-resilient online-learning ARL control charts COVID-19 data deviance residuals link functions logistic profiling Pearson residuals conditional autoregressive model Markov chain Monte Carlo occurrence rate spatial Poisson model n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Computational and Mathematical Methods in Information Science and Engineering |
| title | Computational and Mathematical Methods in Information Science and Engineering |
| title_full | Computational and Mathematical Methods in Information Science and Engineering |
| title_fullStr | Computational and Mathematical Methods in Information Science and Engineering |
| title_full_unstemmed | Computational and Mathematical Methods in Information Science and Engineering |
| title_short | Computational and Mathematical Methods in Information Science and Engineering |
| title_sort | computational and mathematical methods in information science and engineering |
| topic | multi-scale local interaction lightweight image reconstruction network global fusion green supply chain environmental awareness information acquisition outsourcing in-house career choice prediction machine learning college students non-cooperative equilibrium complex supply chain network environmental policies circular economy structural balance feedback mechanism opinions polarization reservoir characterization productivity prediction knowledge interaction neural network embedded model egg shape equation displacement of volume method egg volume classical retrial policy queue dependent service rate waiting time analysis infinite orbit private set intersection quantum authentication oblivious quantum key distribution Internet of Things multi-objective optimization mining plan metal mines adaptive hybrid mutation multi-facility location problem clustering algorithm center-of-gravity method hybrid multi-attribute three-way group decision making VIKOR model grey correlation analysis interval-valued intuitionistic fuzzy numbers tourist arrival forecast variational mode decomposition empirical mode decomposition multiscale analysis deep learning model convolutional neural network model seasonal ARIMA ARIMA sales forecasting demand pattern dynamic weighting model selection retail malicious network traffic GAN imbalanced classification partial discharge (PD) phase-resolved PD (PRPD) rotating machine stator coil buffer wards mixed-integer programming dynamic bed allocation patient admission control COVID-19 pandemic regression data stream non-convex loss function noise-resilient online-learning ARL control charts COVID-19 data deviance residuals link functions logistic profiling Pearson residuals conditional autoregressive model Markov chain Monte Carlo occurrence rate spatial Poisson model n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | multi-scale local interaction lightweight image reconstruction network global fusion green supply chain environmental awareness information acquisition outsourcing in-house career choice prediction machine learning college students non-cooperative equilibrium complex supply chain network environmental policies circular economy structural balance feedback mechanism opinions polarization reservoir characterization productivity prediction knowledge interaction neural network embedded model egg shape equation displacement of volume method egg volume classical retrial policy queue dependent service rate waiting time analysis infinite orbit private set intersection quantum authentication oblivious quantum key distribution Internet of Things multi-objective optimization mining plan metal mines adaptive hybrid mutation multi-facility location problem clustering algorithm center-of-gravity method hybrid multi-attribute three-way group decision making VIKOR model grey correlation analysis interval-valued intuitionistic fuzzy numbers tourist arrival forecast variational mode decomposition empirical mode decomposition multiscale analysis deep learning model convolutional neural network model seasonal ARIMA ARIMA sales forecasting demand pattern dynamic weighting model selection retail malicious network traffic GAN imbalanced classification partial discharge (PD) phase-resolved PD (PRPD) rotating machine stator coil buffer wards mixed-integer programming dynamic bed allocation patient admission control COVID-19 pandemic regression data stream non-convex loss function noise-resilient online-learning ARL control charts COVID-19 data deviance residuals link functions logistic profiling Pearson residuals conditional autoregressive model Markov chain Monte Carlo occurrence rate spatial Poisson model n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230911_9783036584706_65 |