Suggested Topics within your search.
Suggested Topics within your search.
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method
Published 2025-09-01“…For this purpose, an algorithm for interpolating missing values in long-term temperature observation data was designed. …”
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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods
Published 2025-08-01“…This study evaluates the performance of machine learning algorithms in predicting disease severity among pediatrics. …”
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Pre-Service Science Teachers’ Skills to Express The Algorithms Used in Solving Physics Problems with Flowcharts (An Example From Turkey)
Published 2020-01-01“…In the findings of the research, it was observed that pre-service science teachers had problems in expressing their algorithms and some of them could not express these algorithms at all. …”
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Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review
Published 2025-02-01“…The survey results show that the majority of the research conducted for transformer fault classification using DGA employs the support vector machine (32%), artificial neural network (17%), and k-Nearest Neighbor (12%) algorithms. …”
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Study on PID gain parameter optimization for a quadcopter under static wind turbulence using bio-inspired algorithms
Published 2025-02-01“…This study solves this problem using Bio-inspired algorithms to tune the controller gain. To determine the required PID controller gain parameters this paper utilizes a Simulink model of a quadcopter combined with the particle swarm optimization (PSO) algorithm and the cuckoo search algorithm (CSA) optimization respectively to minimize error in the attitude rate. …”
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Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions
Published 2024-12-01“…Runoff is pivotal in water resource management and ecological conservation. Current research predominantly emphasizes enhancing the precision of machine learning-based runoff predictions, with limited focus on their physical interpretability. …”
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An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification
Published 2024-01-01“…The optimized feature vector is classified using state-of-the-art machine learning algorithms. Notably, the study addresses the research gap by providing a comprehensive analysis of plant diseases affecting fruits and vegetables. …”
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Adaptive Sliding Window Decoding of Spatially Coupled Low-Density Parity-Check Codes: Algorithms and Energy Efficient Implementations
Published 2024-01-01“…In contrast to the well-elaborated literature on energy-efficient decoder implementations of classical LDPC block codes (LDPC-BCs), there is little research on the aforementioned challenges for SC-LDPC codes. …”
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