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421
Assistance algorithm of nursing for amiodarone intravenous infusion
Published 2014-10-01Get full text
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422
Assistance algorithm of nursing for amiodarone intravenous infusion
Published 2014-10-01Get full text
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423
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424
Understanding temperature-rain data using ID3 based concept reduction technique in FCA
Published 2025-05-01Get full text
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425
Network reconfiguration and optimal distributed generations allocation with whale optimizer algorithm
Published 2025-03-01Subjects: Get full text
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426
Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise
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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427
Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men
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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428
Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women
Published 2025-07-01Subjects: “…discriminant analysis algorithm…”
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429
Nonlinear Volatility Risk Prediction Algorithm of Financial Data Based on Improved Deep Learning
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
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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432
Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm
Published 2025-08-01Subjects: “…soil organic carbon prediction…”
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433
Improved performance of single sided axial flux for reduction in cogging torque (IMPACT)
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434
Clustering of listed stock exchange companies active in the cement using the FPC clustering algorithm
Published 2024-01-01Subjects: Get full text
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435
Optimization of carbon peak path in Fujian Province based on sparrow search algorithm
Published 2024-06-01Subjects: “…carbon emission reduction…”
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436
Review of Modular Multiplication Algorithms over Prime Fields for Public-Key Cryptosystems
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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437
Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms
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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438
APPLICATION OF RANDOM FOREST ALGORITHM ON WATCH PRICE PREDICTION SYSTEM USING FRAMEWORK FLASK
Published 2023-04-01Get full text
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439
Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review
Published 2025-06-01Subjects: “…prediction…”
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440
Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms
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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