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    Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

    Published 2023-12-01
    “…Hence, there is a need to predict airfoil noise. This paper uses the airfoil dataset published by NASA (NACA 0012 airfoils) to predict the scaled sound pressure using five different input features. …”
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  7. 427

    Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men by Bakhtyar Tartibian, Leila Fasihi, Rasoul Eslami, Ahmad Fasihi

    Published 2025-01-01
    “…Results: There was no significant difference in predicting encephalopathy complications by random forest algorithm between active and inactive men. …”
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    Nonlinear Volatility Risk Prediction Algorithm of Financial Data Based on Improved Deep Learning by Wangsong Xie

    Published 2022-01-01
    “…With the gradual integration of global economy and finance, the financial market presents many complex financial phenomena. To increase the prediction accuracy of financial data, a new nonlinear volatility risk prediction algorithm is proposed based on the improved deep learning algorithm. …”
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    Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

    Published 2025-01-01
    “…In the first stage, the quantiles of system imbalance are predicted employing the Quantile Regression Forest algorithm. …”
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    Review of Modular Multiplication Algorithms over Prime Fields for Public-Key Cryptosystems by Hai Huang, Jiwen Zheng, Zhengyu Chen, Shilei Zhao, Hongwei Wu, Bin Yu, Zhiwei Liu

    Published 2025-06-01
    “…Furthermore, the core concepts, implementation challenges, and research advancements of multiplication algorithms are systematically summarized. This paper also gives a brief overview of modular reduction algorithms for various types of moduli and discusses the implementation principles, application scenarios, and current research results. …”
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    Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

    Published 2025-12-01
    “…This study investigates and predicts the likelihood of operational risk occurrence in the banking industry using machine learning algorithms. …”
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    Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms by Milad Shahvaroughi Farahani

    Published 2021-03-01
    “…Thus, if you can forecast the interest rate, you can predict the parallel markets too. The main goal of this article, as it is clear from the title, is the prediction of interest rate using ANN and improving the network using some novel heuristic algorithms such as Moth Flame Optimization algorithm (MFO), Chimp Optimization Algorithm (CHOA), Time-varying Correlation Particle Swarm Optimization algorithm (TVAC-PSO), etc. we used 17 variables such as oil price, gold coin price, house price, etc. as input variables. …”
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