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Optimized deep neural network architectures for energy consumption and PV production forecasting
Published 2025-05-01Get full text
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Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System
Published 2022-04-01Get full text
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1348
Optimizing data privacy and security measures for critical infrastructures via IoT based ADP2S technique
Published 2025-03-01Get full text
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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model
Published 2025-05-01Get full text
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The ADBPSO-LightGBM internal threat detection framework based on hybrid data balancing
Published 2025-12-01Get full text
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Coverage path planning for multi-AUV considering ocean currents and sonar performance
Published 2025-01-01Get full text
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New Design of Smooth PSO-IPF Navigator With Kinematic Constraints
Published 2024-01-01“…Smooth path planning is crucial for mobile robots to ensure stable and efficient navigation, as it minimizes jerky movements and enhances overall performance Achieving this requires smooth collision-free paths. Partial Swarm Optimization (PSO) and Potential Field (PF) are notable path-planning techniques, however, they may struggle to produce smooth paths due to their inherent algorithms, potentially leading to suboptimal robot motion and increased energy consumption. …”
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Machine Learning-Based Lithium Battery State of Health Prediction Research
Published 2025-01-01Get full text
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Heterogeneous Multi-Agent Deep Reinforcement Learning for Cluster-Based Spectrum Sharing in UAV Swarms
Published 2025-05-01“…The MAPPO-H enables the CHs to decide cluster selection and moving position, while CMs utilize IPPO-M to cluster autonomously under the condition of certain partial channel distribution information (CDI). Adequate experimental evidence has confirmed that the HMDRL-UC algorithm proposed in this paper is not only capable of managing dynamic drone swarm scenarios in the presence of partial CDI, but also has a clear advantage over the other existing three algorithms in terms of average throughput, intra-cluster communication delay, and minimum signal-to-noise ratio (SNR).…”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification
Published 2024-05-01Get full text
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