COMPUTER SCIENCE, COMPUTER ENGINEERING AND MANAGEMENT SYNTHESISING THE MODEL OF THE PREDICTIVE MAINTENANCE OF ATMOSPHERIC PIPE STILL by E. S. Gebel, A. A. Ibatullin, M. S. Peshko, V. N. Gudinov

“…The aim of the study is to develop a model of a predictive maintenance system allowing the output parameters of a high-capacity distillation unit to be stabilised.Method. …”
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Prediction by simulation in plant breeding by Huihui Li, Luyan Zhang, Shang Gao, Jiankang Wang

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Real-time riding simulation model for motorcycle including path-following controller with nonlinear model predictive control by Takamitsu HATAKEYAMA, Yuichi CHIDA, Masaya TANEMURA

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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach by Mokh Afifuddin, Wonchul Seo

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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach. by Mokh Afifuddin, Wonchul Seo

“…The proposed method seeks to predict technology convergence effectively by employing various machine learning and deep learning techniques to train prediction models by integrating technological similarity, link prediction measures, and causal relationships between technology topics as input features, offering a more accurate and comprehensive understanding of the intricate relationships within the technological landscape. …”
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Modeling the hillside movement in the area of Sattarkhan dam reservoir using by predictive models Logistic Regression and Neural Network by soghra andaryani, Nasrin Samandar, Ohammadreza Nikjoo

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A framework for predictive modeling of microbiome multi-omics data: latent interacting variable-effects (LIVE) modeling by Javier Munoz Briones, Douglas K. Brubaker

“…Here, we present a framework for integration of microbiome multi-omics data: Latent Interacting Variable Effects (LIVE) modeling. LIVE integrates multi-omics data using single-omic latent variables (LV) organized in a structured meta-model to determine the combinations of features most predictive of a phenotype or condition. …”
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Depression screening model for middle-aged and elderly diabetic patients in China by Linfang Deng, Shaoting Luo, Tianyi Wang, He Xu

Subjects: “…Predictive model…”
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A nomogram model for predicting risk factors and the outcome of skin ulcer by Honglin Jia, Yang Tan, Hong Li, Xiaoqing Bu, Lingfei Li, Xia Lei

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Beyond Needling: Integrating a Bayesian Brain Model into Acupuncture Treatment by Beomku Kang, Da-Eun Yoon, Yeonhee Ryu, In-Seon Lee, Younbyoung Chae

“…Active inference from both prior experience and expectations of acupuncture, when integrated with incoming sensory signals, creates a unique, individual internal generative model of our perception of acupuncture. A Bayesian framework and predictive coding may, therefore, aid in elucidating and quantifying the cognitive components of acupuncture and facilitate understanding of their differential interactions in determining individual expectations of treatment. …”
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Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive model by Meng Wang, Yang Zhao, Wenqiang Ren

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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

“…The main goal in this research is to train various machine learning models to predict charging cycles in EV Electric Vehicles) battery systems. …”
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Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability by Abid Bin Ahosan, Forhadul Islam, Khandaker Mohammad Mohi Uddin, Nahid Hasan, Md Ashraf Uddin

“…This study investigates the effectiveness of various machine learning (ML) techniques in predicting patient outcomes in HBV infection. Methods The Chi-squared test was used for feature selection to find the most important factors, which were later applied to train and evaluate various ML models. …”
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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Initially, there was inadequate study of the various prediction techniques to select the ones that would best predict students’ success in educational environments. …”
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Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Pulmonary Fungal Infection in Lung Cancer by Lai Q, Liao K, Kuang G, Liao W, Zhang S

“…Qixun Lai,1 Kaifu Liao,1 Guangzhi Kuang,1 Weijie Liao,2 Shengrui Zhang2 1Department of Thoracic Surgery, Ganzhou Fifth People’s Hospital, Ganzhou City, 341000, People’s Republic of China; 2Department of Critical Care Medicine, Ganzhou People’s Hospital, Ganzhou City, 341000, People’s Republic of ChinaCorrespondence: Shengrui Zhang, Department of Critical Care Medicine, Ganzhou People’s Hospital, No. 16 Meiguan Avenue, Ganzhou City, Jiangxi Province, 341000, People’s Republic of China, Tel +8615279719190, Email a13755016764@126.comObjective: To construct a nomogram model for individualized prediction of pulmonary fungal infection risk in lung cancer patients.Methods: A total of 483 lung cancer patients hospitalized between August 2021 and August 2024 were retrospectively analyzed and randomly divided into a modeling group (n=338) and validation group (n=145). …”
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Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model by Taiping Lin, Xiaotao Huang, Xiang Wang, Miao Dai, Jirong Yue

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Explainable AI based LightGBM prediction model to predict default borrower in social lending platform by Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng

“…This paper proposes an explainable AI (XAI)-based prediction model utilizing the LightGBM algorithm to predict the likelihood of borrower default on a social lending platform. …”
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Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model. by Yuebo Liu, Ge Kong, Fantai Meng, Chunlan Guo, Kuo Wan

“…In summary, the FA method proved to be an effective tool for quantifying the apical lesion boundary and predicting the healing speed using a survival model.…”
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Predicting the Future Failures of Urban Water Systems: Integrating Climate Change and Machine Learning Prediction Models by Melica Khashei, Fatemeh Boloukasli ahmadgourabi, Rebecca Dziedzic

“…However, the integration of these climate-related factors into watermain failure prediction models, with a specific focus on climate change impacts, remains insufficiently explored. …”
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Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

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