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Suggested Topics within your search.
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A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks
Published 2023-12-01“…ABSTRACTIn recent years, one of the prominent research areas in the complex network field has been the Influence Maximization Problem. …”
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Global Cross-Market Trading Optimization Using Iterative Combined Algorithm: A Multi-Asset Approach with Stocks and Cryptocurrencies
Published 2025-04-01“…This study presents an advanced adaptive trading framework that integrates Deep Reinforcement Learning (DRL) with the Iterative Model Combining Algorithm (IMCA) to overcome the critical limitations of static ensemble methods in global portfolio optimization. …”
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iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response prediction
Published 2025-04-01“…The iMLGAM package is freely available on GitHub (https://github.com/Yelab1994/iMLGAM), providing researchers with an innovative approach to personalized cancer immunotherapy prediction.…”
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Rapid diagnosis of latent and active pulmonary tuberculosis by autofluorescence spectroscopy of blood plasma combined with artificial neural network algorithm
Published 2024-12-01“…This study demonstrates the possibility of using blood plasma autofluorescence spectroscopy and Artificial Neural Network (ANN) algorithm for the rapid and accurate diagnosis of latent and active pulmonary TB from healthy subjects. …”
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A Generation Algorithm for “Text to Image” Based on Multi-Channel Attention
Published 2025-01-01“…Research on text-to-image has gained significant attention. …”
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Algorithm and Program for Calculation and Analysis of Modes and Losses of Electric Energy in Electricity Distribution Networks of 6–20 kV
Published 2013-04-01“…A refined mathematical model and algorithm for operative control of the modes and detection of energy loss sites in electricity distribution networks of 6–20 kV have been developed in the paper. …”
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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization
Published 2025-12-01“…We implemented machine learning (ML), optimization, geographic information systems, and remote sensing. This research investigates the effectiveness of ML algorithms, including random forest (RF), Adaboost (ADB), gradient boosting (GB), and XGBoost (XGB), when used with high-resolution earth observation data. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering
Published 2024-09-01“…Subsequently, the paper presented a DHNN-3SAT model optimized by genetic algorithms combined with K-modes clustering. This model employed genetic algorithm-optimized K-modes clustering to effectively cluster the initial space, significantly reducing the search space. …”
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