Results 101 to 110 of about 8,974 (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

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

Few-shot meta-learning for concrete strength prediction: a model-agnostic approach with SHAP analysis

AI in Civil Engineering
Predicting concrete compressive strength with limited data remains a critical challenge in civil engineering. This study proposes a novel framework integrating Model-Agnostic Meta-Learning (MAML) with SHAP (Shapley Additive Explanations) to improve ...
Mayaz Uddin Gazi, Md. Titumir Hasan, Ponkaj Debnath   +2 more
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

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

Quantification of left ventricular mass in multiple views of echocardiograms using model-agnostic meta learning in a few-shot setting. [PDF]

PeerJ Comput Sci
Kim YH, Kim D, Youm JY, Won J, Kim S, Park W, Kim Y, Lee D.   +7 more
europepmc   +1 more source

Bivalent interaction through an intrinsically disordered linker promotes transcription activation complex assembly in Notch signaling. [PDF]

Proc Natl Acad Sci U S A
Cook C, Ramsey KM, Barrick D.
europepmc   +1 more source

Personalized blood glucose prediction in type 1 diabetes using meta-learning with bidirectional long short term memory-transformer hybrid model. [PDF]

Sci Rep
Moon K, Kim J, Yoo S, Cho J.
europepmc   +1 more source