Results 101 to 110 of about 9,064 (165)

Research on reactor power prediction of nuclear power plant based on multivariate optimization GRU model

International Journal of Advanced Nuclear Reactor Design and Technology
In the operation of nuclear power plants, the accurate prediction of power change trends is crucial for ensuring safety and stability. In this work, a ML-GRU-RS method, based on model-agnostic meta-learning (MAML), gate recurrent unit (GRU), and random ...
Canyi Tan, Bo Wang, Jiangkuan Li, Jie Chen, Biao Liang, Shangcai Zheng, Rui Han, Ruifeng Tian, Sichao Tan   +8 more
doaj   +1 more source

On the V2G capacity of shared electric vehicles and its forecasting through MAML‐CNN‐LSTM‐Attention algorithm

IET Generation, Transmission & Distribution
Shared electric vehicles (shared EVs) could be treated as energy storage and participate in electricity market services. In that case, the schedulable capacity that shared EV provide to grid in future time needs to be predicted accurately.
Mingkuo Xu, Hui Ren, Ping Chen, Guoyu Xin   +3 more
doaj   +1 more source

Deep Learning Algorithm for Solving Interval of Weight Coefficient of Wind–Thermal–Storage System

Energies
Under the premise of ensuring the safe and stable operation of a wind–thermal–storage power system, this paper proposes an optimization model aimed at improving its overall economic efficiency and effectively reducing the peak-to-valley load difference ...
Yanchen Liu, Minfang Peng
doaj   +1 more source

Advanced task-weighted meta-reinforcement learning for rapid secure routing in mobile RIS-assisted networks

EURASIP Journal on Wireless Communications and Networking
This paper proposes a Reptile-based Meta-Reinforcement Learning (Meta-RL) framework for secure, adaptive multi-hop routing in Mobile Ad Hoc Networks (MANETs) enhanced by Reconfigurable Intelligent Surfaces (RIS).
M. Stella Mercy, R. Suresh Babu
doaj   +1 more source

Distributed Adaptive Coding Optimization for IoT Using Fulcrum Code and Model-Agnostic Meta-Learning (MAML) in Ultra-Low Latency Environments

IEEE Access
The exponential growth of the Internet of Things (IoT) has amplified the demand for energy-conscious, low-latency, and efficient data transmission techniques.
Yair Rivera Julio, Angel Pinto, Rodrigo Garcia, Jose Aguilar, Nelson A. Perez-Garcia   +4 more
doaj   +1 more source

A joint span-entity prediction approach with generative and cross-lingual meta-learning for low-resource Japanese NER. [PDF]

Sci Rep
Shao X, Zhu D, Liu Q, Pan X.
europepmc   +1 more source

Meta-learning for few-shot open task recognition. [PDF]

Sci Rep
Han X, Shi D, Wang Z, Chen Y, Jin S, Yang S.   +5 more
europepmc   +1 more source

A meta learning framework for few shot personalized gait cycle generation and reconstruction. [PDF]

Sci Rep
Yadav RK, Nandi A, Sharma DAK, Garg PL.
europepmc   +1 more source

Dynamic MAML with Efficient Multi-Scale Attention for Cross-Load Few-Shot Bearing Fault Diagnosis. [PDF]

Entropy (Basel)
Zhang Q, Zhang Y, Qin J, Duan J, Zhou Y.
europepmc   +1 more source

A privacy-preserving federated meta-learning framework for cross-project defect prediction in software systems. [PDF]

Sci Rep
Potharlanka JL, Shaik KY, N BK.
europepmc   +1 more source