Computational and Mathematical Methods in Information Science and Engineering

• Övriga skapare: Zhang, Wen (Utgivare, redaktör, sammanställare), Xu, Xiaofeng (Utgivare, redaktör, sammanställare), Wu, Jun (Utgivare, redaktör, sammanställare), He, Kaijian (Utgivare, redaktör, sammanställare)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Ämnen: Research & information: general; Mathematics & science; 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
• Länkar: DOAB: download the publication; DOAB: description of the publication

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...