Digital Twin Smart Home Model Accurately Predicts Real User Multimodal Interactions
A digital twin framework combining visual saliency and multimodal fusion accurately predicted physical smart home user interactions and improved operational ...
A digital twin framework combining visual saliency and multimodal fusion accurately predicted physical smart home user interactions and improved operational ...
A combined local search and genetic algorithm improved cancer classification accuracy and reduced computational complexity across more than 30,000 patient ...
An improved Tornado Optimizer incorporating Coriolis force achieved the same shortest path as Dijkstra's algorithm across thirty independent test runs ...
A generalized inverse-distance weighting model optimized with genetic algorithms achieved 90 percent production-splitting accuracy in Gasi Reservoir sandstone layers.
Researchers developed a reverse engineering framework combining deep bidirectional recurrent neural networks with adaptive genetic algorithms to optimize temperature profiles ...
Researchers have developed an empirical power-law model connecting rock permeability and drilling fluid invasion radius using neural networks and genetic ...
Researchers have identified significant differences in the energy consumption of four widely used nature-inspired optimization algorithms, with Differential Evolution (DE) ...
Researchers have introduced a new computational framework called K-GA-PSO++, designed to enhance the quality and efficiency of clustering algorithms.
A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization screened tensile strength in a 10,000-record fiber-reinforced polymer composite ...
A deep learning-based optimization scheme redesigned the tip and root airfoils of the Helishape-7A helicopter rotor, raising hover thrust coefficient ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine