DEVELOPING PREDICTIVE MODELS OF INTERNET SERVICE STRATEGIES by Maxim Yu. Khramov

“…Issues related to strategic managementof interactive online services as well as difficulties in predicting results of strategies’ implementation were studied in the article. …”
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Research on Simplified Design of Model Predictive Control by Qing Zhang, Chi Zhang, Qi Wang, Shiyun Dong, Aoqi Xiao

Subjects: “…model predictive control…”
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Fuzzy Model Predictive Control for Unmanned Helicopter by Łukasz Kiciński, Sebastian Topczewski

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On the Relevance and Limitations of Predictive Models in Clinical Psychology by Emanuele Maria Merlo

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Enhancing Accuracy and Explainability of Recidivism Prediction Models by Tammy Babad, Soon Ae Chun

“…Automated prediction models suffer from low accuracy and are associated with criticism for biased and unexplainable decision-making. …”
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Current Genetic Models for Prediction of Primary Myelofibrosis by LB Polushkina, VA Shuvaev, MS Fominykh, YuA Krivolapov, EA Belyakova, ZP Asaulenko, V Motyko, LS Martynenko, MP Bakai, NYu Tsybakova, SV Voloshin, SS Bessmeltsev, AV Chechetkin, IS Martynkevich

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Modeling and Prediction of Ride-Sharing Utilization Dynamics by Tal Altshuler, Yaniv Altshuler, Rachel Katoshevski, Yoram Shiftan

“…This feature space is then used to model the dynamics of ride-sharing utilization over time. …”
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Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

“…The study objective is to build a model based on machine learning that can predict the detection of SARS-CoV-2 from medical data. …”
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Editorial: Model organisms in predictive toxicology 2023 by Cristina Luceri, Abdulahad Dogan, Angel León-Buitimea

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On the predictability limit of convection models of the Earth's mantle by Léa Bello, Nicolas Coltice, Tobias Rolf, Paul J. Tackley

Subjects: “…convection models…”
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CPLLM: Clinical prediction with large language models. by Ofir Ben Shoham, Nadav Rappoport

“…We present Clinical Prediction with Large Language Models (CPLLM), a method that involves fine-tuning a pre-trained Large Language Model (LLM) for predicting clinical disease and readmission. …”
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Prediction models for COVID-19 disease outcomes by Cynthia Y. Tang, Cheng Gao, Kritika Prasai, Tao Li, Shreya Dash, Jane A. McElroy, Jun Hang, Xiu-Feng Wan

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Air Quality Prediction Model for Monitoring AQI by Das Aritra, Gupta Himanshu

“…This research proposes a complete framework that incorporates deep learning models—specifically Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks—with ensemble learning methods, particularly Extreme Gradient Boosting (XGBoost), to predict AQI. …”
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Macroscopic Modelling of Predicted Automated Vehicle Emissions by Mohammed Obaid, Arpad Torok

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The Application of Machine Learning Models to Predict Stillbirths by Oguzhan Gunenc, Sukran Dogru, Fikriye Karanfil Yaman, Huriye Ezveci, Ulfet Sena Metin, Ali Acar

“…<i>Background and Objectives</i>: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. …”
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Predictive model for necrotising fasciitis (NF) outcome by Sushmitha Kalakeri, Utsav Balar, Gehad Abdelkhalek

“…Further research with larger sample sizes is recommended to refine the model and improve predictive accuracy.…”
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An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

“…Feature importance analysis and dimensionality reduction techniques are employed to enhance models predictive performance. The best model was Gradient Boosting algorithm with an accuracy of 85.63% and AUC score of 0.8696. …”
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Development of Bankruptcy Prediction Model for Latvian Companies by Arnis Stasko, Ilze Birzniece, Girts Kebers

“…We propose an extended company performance prediction model that considers other factors that influence distress risk, e.g., changes in regulation and other environmental factors. …”
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A Predictive Model of the HIV Infection Course by E. I. Veselova, G. D. Kaminskiy, K. A. Kocharyan, A. B. Peregudova, O. V. Lovacheva, A. G. Samoylova

“…The course of HIV infection depends on the degree of HIV suppression during ART.The objective: to evaluate feasibility of using three factors: viral load (VL), HIV reservoir and CD8 T cells before ART initiation to estimate future levels of “residual” viremia and develop a predictive model.Subjects and Methods. 74 naive patients with HIV infection were enrolled in the study. …”
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Pedestrian Vision Language Model for Intentions Prediction by Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner

Subjects: “…Pedestrian intention prediction…”
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