APPLICATION OF MODEL PREDICTIVE CONTROL TO BATCH POLYMERIZATION REACTOR by N.M. Ghasem, M.A. Hussain, S. A. Sata

“…In this study, advanced control methodology is implemented for controlling the operation of a batch polymerization reactor for polystyrene production utilizingmodel predictive control. By utilizing a model of the polymerization process, the necessary operational conditions were determined for producing the polymer within the desired characteristics. …”
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Systematic review of predictive maintenance practices in the manufacturing sector by Abdeldjalil Benhanifia, Zied Ben Cheikh, Paulo Moura Oliveira, Antonio Valente, José Lima

“…Predictive maintenance (PDM) is emerging as a strong transformative tool within Industry 4.0, enabling significant improvements in the sustainability and efficiency of manufacturing processes. …”
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Predictive potential of the bankruptcy global models in the tourism industry by Agustín Del Castillo García, Sergio Manuel Fernández Miguélez

“…The globalization process and the recent economic crises have increased the development of models to identify the factors related to business bankruptcy. …”
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Proactive Supply Chain Performance Management with Predictive Analytics by Nenad Stefanovic

“…Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. …”
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Evaluating the Predictive Power of Software Metrics for Fault Localization by Issar Arab, Kenneth Magel, Mohammed Akour

“…It lays the groundwork for an iterative process that integrates metric-based predictive models with large language models (LLMs), enabling future systems to automatically generate targeted test cases for the most fault-prone components, which further enhances the automation and precision of software testing.…”
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Predictive Maintenance in IoT-Monitored Systems for Fault Prevention by Enrico Zero, Mohamed Sallak, Roberto Sacile

“…This paper focuses on predictive maintenance for simple machinery systems monitored by the Internet of Things (IoT). …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…By streamlining the feature selection process, ANOVA not only enhances the performance of the models but also conserves computational resources, making the approach more efficient overall. …”
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Theoretical aspects of the digitalization of production processes by F. F. Sharipov, Man Xu

“…The key aspect is to increase the productivity of the enterprise by reducing the time of the development of new products marketed and delivered to the consumer. As a result, the reduction contributes to overall efficiency. The authors substantiate that digitalization of production is the consolidation of all business processes at the enterprise using computer and information technologies. …”
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A neural master equation framework for multiscale modeling of molecular processes: application to atomic-scale plasma processes by Shoubhanik Nath, Joseph R. Vella, David B. Graves, Ali Mesbah

“…The framework is demonstrated for multiscale modeling of Si atomic layer etching and reactive ion etching, where the learned NME-based surface kinetic models exhibit good predictive and extrapolative capabilities for predicting experimentally relevant observables as a function of process parameters. …”
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Microbially Mediated Processes in Environmental Chemistry by Kurt W. Hanselmann

“…Thus microbes affect indirectly chemical processes like precipitation and dissolution, adsorption and desorption, oxidation and reduction, protonation and dissociation. …”
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The use of photobioreactors in façades for decarbonization process by Marcos Antonio Leite Frandoloso, Sidnei Matana Júnior, Rodrigo Carlos Fritsch, Alan Rempel, Luciane Maria Colla, Eduardo Grala da Cunha, Júlia Medeiros Nicolodi, João Gabriel Cendron, Fábio Lamaison Pinto

“…In addition to thermal and energy performance, the strategies will allow the process of sequestration of carbon dioxide and other GHG (greenhouse gases) that impacts on the process of climate change and can contribute to reach the sustainable development. …”
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Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

“…The review clearly demonstrates a significant increase in the number of analyzed indicators of the natural production process in simulation modeling compared to mathematical one and a reduction in labour and material costs compared to the research of technological processes in production conditions. …”
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LncRNA FAM66C predicts poor prognosis in patients with lung adenocarcinoma and regulates cell proliferation and metastasis via miR-339-3p by Xi Chen, Wenhui Xu, Yuan Shen, Anning Qi, Huiling Qin

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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…In addition, Machine Learning algorithms were applied to predict hardness values. A multidisciplinary approach was adopted to optimize production processes, reduce manufacturing costs, and shorten processing times. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

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New Challenges for Tropical Cyclone Track and Intensity Forecasting in an Unfavorable External Environment in the Western North Pacific—Part II: Intensifications near and North of... by Russell L. Elsberry, Hsiao-Chung Tsai, Wen-Hsin Huang, Timothy P. Marchok

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Reassessment of Plio-Quaternary aquifer mineralization (Sidi Mansour plain, Southern Tunisia): a machine learning approach by Zohra Kraiem, Kamal Zouari, Aissa Hleimi, Houda Derbel Fetoui

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New Challenges for Tropical Cyclone Track and Intensity Forecasting in Unfavorable External Environment in Western North Pacific. Part I. Formations South of 20° N by Russell L. Elsberry, Hsiao-Chung Tsai, Wen-Hsin Huang, Timothy P. Marchok

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Quantitative design of yield components to simulate yield formation for maize in China by Hai-peng HOU, Wei MA, Mehmood Ali NOOR, Li-yuan TANG, Cong-feng LI, Zai-song DING, Ming ZHAO

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Monitoring moisture content in parchment coffee beans during drying using Fourier Transform near infrared (FT-NIR) spectroscopy: A dataset for calibrating chemometric-based models... by Sandrith Ordoñez-Lozano, Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The aim was to evaluate the application of NIR spectroscopy for predicting moisture content during drying, leveraging NIR as a reliable, rapid, and non-destructive technology for routine monitoring of the coffee drying process. …”
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