TC-KAN: Time-Conditioned Kolmogorov-Arnold Networks with Time-Dependent Activations for Long-Term Time Series Forecasting. [PDF]
Shen Z, Fu Y, Weng L, Han K, Xu Y.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction. [PDF]
Sakthivel S +6 more
europepmc +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networks. [PDF]
Liu J +4 more
europepmc +1 more source
Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique. [PDF]
Chandrasekaran R, Paramasivan SK.
europepmc +1 more source
Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]
Swarnkar V +4 more
europepmc +1 more source
Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]
Kazim U +7 more
europepmc +1 more source
Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]
Liu J +4 more
europepmc +1 more source

