Search alternatives:
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
element update » element data (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
element update » element data (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
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Ranking of ML algorithms.
Published 2025“…This study, with its proposed forecasting models, makes significant contributions to energy policies to develop appropriate policies only for planning the amount of electricity usage needed in the future. …”
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The overview of the ML algorithms’ flowchart.
Published 2025“…This study, with its proposed forecasting models, makes significant contributions to energy policies to develop appropriate policies only for planning the amount of electricity usage needed in the future. …”
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Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx
Published 2025“…The algorithm using deep learning and rule-based techniques was developed to identify segments of interest (accelerations, decelerations, and contractions). …”
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Evaluation of model aggregation algorithms.
Published 2024“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”
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Comparison of homomorphic encryption algorithms.
Published 2024“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”
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Algorithms runtime comparison.
Published 2025“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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Flowchart of the RIR algorithm.
Published 2024“…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …”
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Solution results of different algorithms.
Published 2025“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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