Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence by Worasak Klongthong, Veera Muangsin, Chupun Gowanit, Nongnuj Muangsin

“…In this work, we designed and implemented a research process based on a bibliometric predictive intelligence model. Our aim is to glean detailed scientific and technological trends through an analysis of publications that include certain word phrases and related research areas. …”
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Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption by Vukasin Klepic, Magdalena Wolf, Tobias Proll

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Single-Phase Grid-Connected Inverter With Predictive Control Cost Function for Leakage Current Mitigation and FAS Model by Cesar Limones, Nimrod Vazquez, Ricardo Femat, Leonel Estrada, Jeziel Vazquez, Claudia Hernandez, Angel de Castro, Joaquin Vaquero

Subjects: “…Finite control set model predictive control…”
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Identification of risk factors and development of a predictive model in patients using cefmetazole for international normalized ratio elevation. by Takaya Namiki, Yuta Yokoyama, Motonori Kimura, Shogo Fukuda, Shoji Seyama, Osamu Iketani, Masaru Samura, Haruki Ishikawa, Aya Jibiki, Hitoshi Kawazoe, Hisakazu Ohtani, Naoki Hasegawa, Kazuaki Matsumoto, Hideki Hashi, Sayo Suzuki, Tomonori Nakamura

“…Patient risk factors related to coagulopathy and bleeding when using cefmetazole (CMZ) have not yet been identified, and no models exist to predict side effects during CMZ treatment. …”
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Real-time force/position control of soft growing robots: A data-driven model predictive approach by Kalibala Abdonoor, Nada Ayman A., Ishii Hiroyuki, El-Hussieny Haitham

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Photovoltaic grid-connected model predictive direct power control based on fractional order sliding mode control by ZHANG Xiaoying, YOU Zixuan, LUO Tong, ZHANG Xingping, WANG Xiaolan

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Prevalence, Characteristics, and Selection of Bacillus cereus Subgroups from Dairy Products for Challenge Testing and Predictive Model Development by Maryam Maktabdar, Lisbeth Truelstrup Hansen, Ellen Wemmenhove, Elissavet Gkogka, Paw Dalgaard

“…Prevalence, toxin gene profiles, lactose fermentation, and growth responses of B. cereus sensu lato subgroups in various dairy and dairy alternative products and ingredients were studied to identify relevant isolates for challenge testing and model development to predict and manage growth responses. …”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

“…A model predictive control (MPC) method based on recursive backpropagation (RBP) neural network and genetic algorithm (GA) is proposed for a class of nonlinear systems with time delays and uncertainties. …”
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Construction and Validation of a Nomogram-Based Predictive Model for Acute Kidney Injury Caused by Drug Resistance to Tuberculosis by Deng M, Han N, Jia M, Zheng Z, Tian Y, Wang H, Feng L

“…The calibration curve shows that the predicted values of the model are basically consistent with the actual values, indicating good performance. …”
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Comprehensive immune profiling and predictive modelling of paediatric acute hepatitis of unknown aetiology from a Spanish cohort by Roberto Lozano-Rodríguez, Roberto Lozano-Rodríguez, Loreto Hierro, María José Quiles, Alejandro Pascual-Iglesias, Alejandro Pascual-Iglesias, Verónica Terrón-Arcos, Verónica Terrón-Arcos, Gema Muñoz-Bartolo, Esteban Frauca, Francisco J. Cueto, Francisco J. Cueto, Cristina Calvo, Cristina Calvo, Laura Córdoba-García, Laura Córdoba-García, Jesús Fernández-Felipe, Jesús Fernández-Felipe, Laura Hurtado-Navarro, Laura Hurtado-Navarro, Julia del Prado-Montero, Julia del Prado-Montero, Gonzalo Sáenz de Santa María-Diez, Gonzalo Sáenz de Santa María-Diez, Daniel Arvelo-Rosario, Daniel Arvelo-Rosario, Paloma Jara, Carlos del Fresno, Eduardo López-Collazo, Eduardo López-Collazo, Eduardo López-Collazo, Eduardo López-Collazo, Eduardo López-Collazo

“…Furthermore, clustering and logistic regression modelling identified potential predictive biomarkers, including the plasmatic ICs Gal-9 and sTim-3, alongside specific immune cell populations. …”
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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

“…Progress in both fields has enabled the generation of a vast amount of data used for making predictions and identifying interesting clusters and pathways. …”
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Risk factor analysis and predictive model development for healthcare-associated infections post-coronary artery bypass grafting by Yan Liu, Lingbo Xue, Ping Jiang, Jiaojiao Shen, Xiao Peng, Xiaoqiang Yu

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Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

“…This research presents an enhanced predictive model for green sand casting, designed to tackle the nonlinear complexities arising from interdependent process parameters. …”
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A predictive model for electrospun based Polyvinyl alcohol (PVA) nanofibers diameter using an artificial neural network by Kamran-ul-Haq Khan, Imran Ahmad Siddiqui

“…Abstract The aim of this work is to develop a predictive model for electrospun based polyvinyl alcohol (PVA) nanofiber diameter. …”
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Development of a deep learning predictive model for estimating higher heating value in municipal solid waste management by Nasreen Banu Mohamed Ishaque, S. Metilda Florence

“…Traditional calorimetric methods for HHV determination are labor-intensive, costly, and environmentally harmful, prompting the need for automated, efficient predictive models. In this work, a novel deep learning-based framework called DLHHV-MSW is presented it estimates the HHV of MSW from its elemental composition, such as the amount of ash, carbon, hydrogen, nitrogen, oxygen, sulfur, and water. …”
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Development of a Predictive Model for Estimating Stocks of Medicinal Plants Using GIS Tools on the Example of the Middle Urals by A. Yu. Turyshev, V. D. Belonogova, V. G. Luzhanin

“…An algorithm for constructing predictive models of the distribution of populations of wild medicinal plants of the Middle Urals has been worked out. …”
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Author Correction: Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model by Muhammad Kashif Saeed, Alanoud Al Mazroa, Bandar M. Alghamdi, Fouad Shoie Alallah, Abdulrhman Alshareef, Ahmed Mahmud

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Nonlinear Model Predictive Control with Disturbance Estimation for Aircraft under Unknown Disturbances using Steering Angle Manipulation by Hironori MASAOKA, Tomoaki HASHIMOTO, Yoshiro HAMADA

Subjects: “…model predictive control…”
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Advanced model predictive control strategy for thermal management in multi-zone buildings with energy storage and dynamic pricing by Seyed Mohamad Kargar, Mohamadsadegh Bahamin

“…In this study, we propose a modified model predictive control (MPC) strategy for managing the thermal load in buildings, aimed at creating a fine-tuned balance between indoor thermal comfort and electricity cost reduction. …”
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Predictive modeling of eye lens dose in interventional radiology: a polynomial regression approach to cumulative fluoroscopy dose by Mengyun Wu, Fang Yuan, Yeqing Gu, Jinhan Wang, Lin Lu, Zhi Zeng

“…ObjectivesThis study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to enhance occupational radiation safety.MethodsWe collected data from interventional radiologists, focusing on cumulative fluoroscopy dose during procedures and corresponding eye lens doses. …”
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